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Category: Uncategorized
Development of a Web-Based Strategic Management Expert System
In this paper, we present the development of a Web-based expert system, StrategyAdvisor Cloud, to support strategic management decision-making. The system was developed using a multistage methodology that builds upon knowledge graphs, where knowledge acquisition and rule base construction by project members with different roles, capabilities, and skills can be facilitated through customized visual languages. The methodology systematizes knowledge acquisition and knowledge representation for each stage, coupled with algorithms for the transformation of knowledge graphs between successive stages. The developed expert system and the development process are described in detail in the paper and its supplement, to serve as guidance in the development of similar systems in future.
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Please click here to download the supplement of the article.
Please cite the paper as follows:
Irdesel, l., Ertek, G., Demirelli, A., Kailas, L., Lekesiz, A., Shuvo, R.U. (2023). Development of a Web-Based Strategic Management Expert System Using Knowledge Graphs. In: Yang, XS., Sherratt, R.S., Dey, N., Joshi, A. (eds) Proceedings of Eighth International Congress on Information and Communication Technology. ICICT 2023. Lecture Notes in Networks and Systems, vol 693. Springer, Singapore. https://doi.org/10.1007/978-981-99-3243-6_48
A Predictive Data Analytics Methodology for Online Food Delivery
Online food delivery (OFD) has become a popular and profitable e-business category due to the rising demand for online food delivery. People are increasingly ordering food online, especially in urban areas and on college campuses. Using data from online food delivery services, one can analyze and predict the values of key performance indicators (KPIs). In the study presented in this paper, we developed a systematic methodology to analyze and predict such KPIs using various classification and regression algorithms. We found that, for the case study we analyzed, Random Forest (RF) consistently ranked as the best algorithm for regression and classification in predicting most of the KPIs. The methodology we introduce and illustrate in the paper can be adapted and extended to similar problems to reveal potential operational issues and identify the possible root causes of such problems.
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Please Cite as Follows:
M. A. Akasheh, N. Eleyan and G. Ertek, “A Predictive Data Analytics Methodology for Online Food Delivery,” 2022 Ninth International Conference on Social Networks Analysis, Management and Security (SNAMS), Milan, Italy, 2022, pp. 1-7, doi: 10.1109/SNAMS58071.2022.10062613.
A Data Analytics Methodology for Benchmarking of Sentiment Scoring Algorithms in the Analysis of Customer Reviews
Due to the digitalization, there exists an increased amount of user-generated content on the Internet, where people express their opinions on various topics. Sentiment analysis is the statistical and analytical examination of human emotions and opinions regarding a certain subject. Our study extends the literature by developing a data analytics methodology for the benchmarking of sentiment scoring algorithms in the context of online customer reviews. We demonstrate the applicability of the methodology using Amazon product reviews as the source data. Analyzing text-based content such as Amazon customers’ reviews through text analytics and sentiment analysis can help Amazon and other online retailers to discover valuable actionable insights regarding their products. The contributions of this study are twofolds: to examine the predictive power of machine learning (ML) algorithms with respect to predicting sentiment scores and to analyze patterns in the differences between scores obtained from different sentiment scoring algorithms.
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Please Cite as Follows:
Abou-Kassem, T., Alazeezi, F.H.O., Ertek, G. (2023). A Data Analytics Methodology for Benchmarking of Sentiment Scoring Algorithms in the Analysis of Customer Reviews. In: Yang, XS., Sherratt, R.S., Dey, N., Joshi, A. (eds) Proceedings of Eighth International Congress on Information and Communication Technology. ICICT 2023. Lecture Notes in Networks and Systems, vol 693. Springer, Singapore. https://doi.org/10.1007/978-981-99-3243-6_46
Analytical Modeling and Empirical Analysis of Binary Options Strategies
This study analyzes binary option investment strategies by developing mathematical formalism and formulating analytical models. The binary outcome of binary options represents either an increase or a decrease in a parameter, typically an asset or derivative. The investor receives only partial returns if the prediction is correct but loses all the investment otherwise. Mainstream research on binary options aims to develop the best dynamic trading strategies. This study focuses on static tactical easy-to-implement strategies and investigates the performance of such strategies in relation to prediction accuracy, payout percentage, and investment strategy decisions.
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Ertek G, Al-Kaabi A, Maghyereh AI. “Analytical Modeling and Empirical Analysis of Binary Options Strategies”. Future Internet. 2022; 14(7):208. https://www.mdpi.com/1999-5903/14/7/208
Analyzing a Decade of Wind Turbine Accident News with Topic Modeling
Despite the significance and growth of wind energy as a major source of renewable energy, research on the risks of wind turbines in the form of accidents and failures has attracted limited attention. Research that applies data analytics methodologically in this context is scarce. The research presented here, upon construction of a text corpus of 721 selected wind turbine accident and failure news reports, develops and applies a custom-developed data analytics framework that integrates tabular analysis, visualization, text mining, and machine learning. Topic modeling was applied for the first time to identify and classify recurring themes in wind turbine accident news, and association mining was applied to identify contextual terms associated with death and injury. The tabular and visual analyses relate accidents to location (offshore vs. onshore), wind turbine life cycle phases (transportation, construction, operation, and maintenance), and the incidence of death and injury. As one of the insights, more incidents were found to occur during operation and transportation. Through topic modeling, topics associated most with deaths and injuries were revealed. The results could benefit wind turbine manufacturers, service providers, energy companies, insurance compa- nies, government bodies, non-profit organizations, researchers, and other stakeholders in the wind energy sector.
Please click here to download the final draft of the article.
Ertek G, Kailas L. Analyzing a Decade of Wind Turbine Accident News with Topic Modeling. Sustainability 2021, 13(22), 12757; https://doi.org/10.3390/su132212757
A Scoring Approach for the Assessment of Study Skills and Learning Styles
This paper presents the application of a scoring method and algorithm, adapted from the domain of financial risk management, for the computer-based assessment of study skills and learning styles of university students. The goal is to provide a single score that summarizes the overall intensity of a student’s study skills and, in effect, develop a deeper understanding of the relation between learning styles and study skills. The dimensionality reduction obtained through the scoring algorithm also enables comparing the single-dimensional study skill scores of students for various learning styles. The algorithm computes a weight for each study skill to measure its linear contribution to the overall study skill score, also providing a natural ranking of various study skills with respect to impact on total score. Statistical tests have been conducted to measure the differences in scores for various styles in Kolb’s four-region and nine-region models. The results suggest that students with different learning styles can have statistically significant differences in their overall study skill scores. The primary contribution of the study is illustrating how a scoring approach, based on unsupervised machine learning, can enable a deep understanding of learning styles and development of educational strategies.
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Beyond the Pandemic: How can Private Universities Transform with Online Education
The recent developments, due to the COVID-19 pandemic, resulted in an unexpectedly sudden and complete shift to online education all around the world. Web-based Learning Management Systems (LMS) (such as BlackBoard and Moodle) and broadcasting systems (such as Webex and GoToWebinar), have proven that the technological infrastructure is fundamentally there. This is especially true for higher education disciplines which do not require 3D physical interaction with humans, equipment, or materials. […} Online education has its advantages and disadvantages. The most major advantage of online education with respect to financials is that it digitally encapsulates some of the core functions of the instructor and can digitally amplify, multiply, and deliver these encapsulated functions at minimal costs. Furthermore, if effectively designed and delivered, online education can be as good as or better than face-to-face instruction?
Please cite this paper as follows (click the links to download in and ):
| Ertek, G. and Belghiti-Mahut, S. (2020). Beyond the Pandemic: How can Private Universities Transform with Online Education. Harvard Business Review Arabia. Available under (in Arabic) and (in English). |
Graph-Based Visualization of Stochastic Dominance in Statistical Comparisons
In this paper, a graph visualization scheme and methodology is proposed for representing, understanding, and interpreting the statistical comparison of means and the resulting stochastic dominance. The practicality and applicability of the visualization scheme and the methodology is illustrated through a case study, with data coming from higher education institutes in the United States of America (U.S.A.). The objective of the research is to make statistical results more accessible and readable, enabling the visual derivation of actionable insights.
Keywords: graph visualization; graph drawing; stochastic dominance; hypothesis testing; higher education.
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Mind the Perception Gap: An Integrative Performance Management Framework for Service Supply Chains
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Purpose – A perception gap refers to the differences in perception among the stakeholders regarding any aspect of the supply chain relationship. This paper investigates the perception gap among service supply chain partners relating to the relative importance of key performance indicators (KPIs) and the association of this gap with service performance.
Design/methodology/approach – This paper presents an integrative framework that combines statistical methods and data envelopment analysis (DEA) for computing perception and performance gaps, and for identifying the association between the gaps. The study follows a Middle-range theorizing (MRT) research approach where general inferences are induced from instances, and a theory can be developed from the observation of empirical reality.
Findings – Analysis of data from a leading global insurance service supply chain suggests that perception gap exists and can be recognized as a factor associated with performance gaps. The results suggest that the perception gap not only affects performance but can also be tracked as a meta-KPI to improve performance throughout the service supply chain.
Implications – The key implication of the presented research is that service companies can identify and resolve the differences in perceptions regarding the importance of the KPIs, by methodologically computing the gaps and tracking them as meta-KPIs.
Originality/value – The study extends the theoretical boundary of supply chain performance management by introducing the perception and performance gaps as novel meta-KPIs. These meta-KPIs can be computed through the integrative framework developed in the study.
Keywords Perception gap, Key performance indicators (KPI), Integrative performance management, Data envelopment analysis (DEA), Service supply chain, Middle-range theorizing (MRT).
Please cite this paper as follows (click to download from Emerald):
Download the full published paper from Emerald.
Download the abstract & developed framework as pdf.
Visit the website or the Research Gate page of the paper.
Location-Based Pricing and Channel Selection in a Supply Chain: A Case Study from the Food Retail Industry
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Many retailers nowadays operate in an Internet-enabled dual-channel supply chain setting, referred to as “click and mortar”. In such a structure, products and services are delivered through both online B2C (business-to-consumer e-tail) and offline B2C (traditional brick and mortar retail) channels. In this paper, we develop and present a unified modeling approach that reflects a real-world dual-channel supply chain in the food retail industry. Motivated by the actual business operations of a case study, we incorporate the spatial locations of customers, as well as other logistics and operational costs, into the service provider’s pricing and the customers’ channel choice decisions. We develop two models, namely the benchmark and proposed models, and conduct extensive numerical experiments with parameter values centered on actual values. The results reveal that ratio of online and offline profit to the total dual-channel profit vary significantly, depending on the locations of customers and the values of the logistics costs. In addition, our statistical and visual analysis suggest that by jointly optimizing the logistics and operational processes, the service provider can achieve a considerably high profit through both channels, without necessarily expanding the size of its geographical service areas.
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Analyzing the Solutions of DEA Through Information Visualization and Data Mining Techniques: SmartDEA Framework
Data envelopment analysis (DEA) has proven to be a useful tool for assessing e
fficiency or productivity of organizations, which is of vital practical importance in managerial decision making. DEA provides a significant amount of information from which analysts and managers derive insights and guidelines to promote their existing performances. Regarding to this fact, e
ffective and methodologic analysis and interpretation of DEA solutions are very critical. The main objective of this study is then to develop a general decision support system (DSS) framework to analyze the solutions of basic DEA models. The paper formally shows how the solutions of DEA models should be structured so that these solutions can be examined and interpreted by analysts through information visualization and data mining techniques e
ectively. An innovative and convenient DEA solver, SmartDEA, is designed and developed in accordance with the proposed analysis framework. The developed software provides a DEA solution which is consistent with the framework and is ready-to-analyze with data mining tools, through a table-based structure. The developed framework is tested and applied in a real world project for benchmarking the vendors of a leading Turkish automotive company. The results show the e
ectiveness and the effi
cacy of the proposed framework.
Akçay, A.E., Ertek, G., Büyüközkan, G. “Analyzing the solutions of DEA through information visualization and data mining techniques: SmartDEA framework”. “Expert Systems with Applications”. 39, pp. 7763–7775.
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Analyzing the solutions of DEA through information visualization and data mining techniques: SmartDEA framework
Dr. Gürdal Ertek recommends the following related books:
- Information Visualization: Design for Interaction (2nd Edition)
- Introduction to Data Envelopment Analysis and Its Uses: With DEA-Solver Software and References 2006th Edition
- Database Design for Mere Mortals: A Hands-On Guide to Relational Database Design (3rd Edition)
Cross-cultural training: a crucial approach to improve the success of expatriate assignment in the United Arab Emirates
Cross Cultural Training United Arab Emirates (UAE)
Expatriate training and development is progressively turning into a crucial human resource development issue for the multinational corporations (MNCs). The motivation for this study is to explore the impact of cross- cultural training (CCT) on the adjustment challenges of Western expatriate managers in the UAE. The findings indicate that the expatriate managers, who were provided with CCT, adjusted more rapidly in their international assignment in the UAE than the expatriates who were not provided with any CCT. This research has nevertheless demonstrated that not only are MNCs in the UAE failing to provide adequate CCT and support for their expatriates, but they are also providing inadequate CCT and support to the expatriate’s accompanying family members. The present study contributes to the discussion about whether MNCs routinely provide their expatriate managers with sufficient CCT. Furthermore, this study has substantial implications for managers and proposes areas for future research in this field.
Please cite the paper as follows:
Crossdocking Insights from a Third Party Logistics Firm in Turkey
In the book “The Silk Road: Two Thousand Years in the Heart of Asia,” Wood (2002) remarkably suggests that “the very name of ‘Silk Road’ is somewhat misleading.” Wood explains as follows: “It [the name ‘Silk Road’] suggests a continuous journey, whereas goods were in fact transported by a series of routes, a series of agents, passing through many hands before they reached their ultimate destination.”
It’s striking to realize that the Silk Road was a complete “crossdocking” operation, executed on a geographically dispersed collection of hubs and routes. Products neither traveled on a single route nor were they stored on the way. Rather, they were staged for short periods at the hubs, and then were passed on towards the next hub on the route, typically by a new caravan or transportation mode.
Today, crossdocking is still very important and popular. Crossdocking has a great potential to bring great financial and time savings in logistics. For example, most of the logistics success of Wal-Mart, the world’s leading retailer, is attributed to crossdocking.
In this chapter, different types of crossdocking are reviewed, and the crossdocking applications of a 3rd party logistics firm based in Istanbul, Turkey is presented. Istanbul was one of the two final destinations on the Silk Road, together with Rome. Today, it is home to best practices of crossdocking by a multitude of logistics companies, including the company described in this chapter.
Crossdocking is a supply chain strategy that can accomplish significant reductions in total costs and in lead times in a supply chain. In this strategy, crossdock facilities (CFs) act as transfer points where inbound product flow is synchronized with outbound product flow to essentially eliminate storage of inventory. Two other strategies applied in distribution of products are traditional distribution with warehouses and direct shipment (Simchi-Levi et al., 2003).
In traditional distribution with warehouses, the warehouse typically houses activities of receiving, putaway, storage, replenishment, order picking, and shipping. Storage is well known to contribute greatly to costs due to inventory holding. Order picking is well known to contribute greatly to costs, due to labor requirements or the investments in costly automated equipment (Frazelle, 2001). In pure crossdocking, the activites carried out are receiving, staging, and shipping. Staging of products should last for a very limited time span, such as 24 hours, for the facility to be considered a CF.
Increased competition in almost every industry, especially retail and grocery industries, has been pushing companies to search for ways of reducing costs throughout the supply chain. For example, grocery retailers and distributors operate under profit margins of approximately 1.5% (Modern Materials Handling, 2003). Cooperating with supply chain partners to reduce the system-wide costs throughout the supply chain and sharing the benefits is a strategy followed by many companies. The Internet allows companies to communicate among each other in real time at costs significantly lower than the past, when establishing Electronic Data Interchange (EDI) systems was required for real time communication (Brockmann, 1999). These listed factors have increased the applicability of crossdocking as a supply chain strategy.
Crossdocking in various forms has been in use for a long time, especially by package delivery companies. However, its recent popularity can be attributed to its extensive use by Wal-Mart, which implemented this strategy successfully and eventually became the world’s largest retailer with more than 5,000 stores throughout the world (Stalk et al., 1992).
Napolitano (2000) provides practical guidelines to planning, designing, and implementing a crossdock operation. This paper firstly provides a brief tutorial on crossdocking through a review of literature, covering Napolitano (2000) and other sources. Then a case study that describes the crossdocking operations of Ekol Logistics, a leading 3rd party logistics firm in Turkey, is presented. The challenges faced by this firm in implementing crossdocking are listed, and insights are summarized.
Ertek, G., (2012) “Crossdocking Insights from a Third Party Logistics Firm in Turkey”, in Managing Supply Chains on the Silk Road: Strategy, Performance, and Risk, Eds: Çağrı Haksöz, Sridhar Seshadri and Ananth V. Iyer.
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Crossdocking Insights from a Third Party Logistics Firm in Turkey
Dr. Gürdal Ertek recommends the following related books:
- World-Class Warehousing and Material Handling 1st Edition
- Facility Logistics: Approaches and Solutions to Next Generation Challenges (Resource Management) 1st Edition
Evaluation of E-Learning Web Sites Using Fuzzy Axiomatic Design Based Approach
High quality web site has been generally recognized as a critical enabler to conduct online business. Numerous studies exist in the literature to measure the business performance in relation to web site quality. In this paper, an axiomatic design based approach for fuzzy group decision making is adopted to evaluate the quality of e-learning web sites. Another multi-criteria decision making technique, namely fuzzy TOPSIS, is applied in order to validate the outcome. The methodology proposed in this paper has the advantage of incorporating requirements and enabling reductions in the problem size, as compared to fuzzy TOPSIS. A case study focusing on Turkish e-learning websites is presented, and based on the empirical findings, managerial implications and recommendations for future research are offered.
Büyüközkan, G. and Arsenyan, J. and Ertek, G. (2010).“Evaluation of e-learning web sites using fuzzy axiomatic design based approach.” International Journal of Computational Intelligence Systems, 3 (1). pp. 28-42.
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Evaluation of E-Learning Web Sites Using Fuzzy Axiomatic Design Based Approach
Dr. Gürdal Ertek recommends the following related books:
The Hierarchon: A Dictionary of Hierarchies (Analytic Hierarchy Process, Vol 5)
Design requirements for a tendon rehabilitation robot: results from a survey of engineers and health professionals
Exoskeleton type finger rehabilitation robots are helpful in assisting the treatment of tendon injuries. A survey has been carried out with engineers and health professionals to further develop an existing finger exoskeleton prototype. The goal of the study is to better understand the relative importance of several design criteria through the analysis of survey results and to improve the finger exoskeleton accordingly. The survey questions with strong correlations are identifited and the preferences of the two respondent groups are statistically compared. The results of the statistical analysis are interpreted and insights obtained are used to guide the design process. The answers to the qualitative questions are also discussed together with their design implications. Finally, Quality Function Deployment (QFD) has been employed for visualizing these functional requirements in relation to the customer requirements.
Patoğlu, V., Ertek, G., Öz, O., Zoroğlu, D., and Kremer, G. (2010) “Design requirements for a tendon rehabilitation robot: results from a survey of engineers and health professionals.” In: ASME 2010 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE 2010), Montreal, Quebec, Canada
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Dr. Gürdal Ertek recommends the following related books:
Engineering Design 5th Edition
Engineering Design: A Practical Guide
Çapraz sevkiyat için temel bilgiler
Çapraz sevkiyatta, kamyonlarla gelen malzemeler çıkış kapısına yönlendirilerek bekletilmeden doğrudan doğruya ya da kısa bir süreliğine bekletilerek sevkiyatı gerçekleştirecek kamyonlara yüklenir. Çapraz sevkiyat, lojistik süreçlerinde tasarruf elde etmek ve rekabetçi avantaj kazanmak için uygulanabilecek önemli bir tedarik zinciri stratejisidir. Örneğin, dünyanın en büyük perakendecisi olan Wal-Mart’ın lojistik başarısının temelinde çapraz sevkiyat ve bu stratejiyi gerçekleştirebilmek ve sürdürebilmek için kurulan sistem yatmaktadır. Bu makalede çapraz sevkiyat konusunda giriş seviyesinde bir bilgilendirme yapılacaktır: Çapraz sevkiyatın çeşitleri, ön koşulları, uygulandığı sektörler, getirdiği avantajlar ve dezavantajlar, ve perakende sektöründeki tipik bir çapraz sevkiyat süreci bu makalenin içeriğini oluşturmaktadır.
Ertek, G. (2010) “Çapraz sevkiyat için temel bilgiler” Lojistik, Sayı: 13.
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Çapraz Sevkiyat İçin Temel Bilgiler
Dr. Gurdal Ertek’in onerdigi kitaplar:
World-Class Warehousing and Material Handling, Second Edition
Kimya Sanayinde Su Tasarrufu İçin Karar Destek Sistemi
Bu bildiride, Türkiye’nin sanayileşmiş bölgelerinden Gebze’de bulunan bir temizlik kimyasalları fabrikası için geliştirdiğimiz ve 7 ay boyunca kullanılarak test edilen bir Karar Destek Sistemi (KDS) tanıtılacak ve yapılan çalışma özetlenecektir. Üretim planlamadan sorumlu fabrika çalışanları bu yeni sistemi uygulamaya aldıktan sonra firma haftada 1 tona yaklaşan su tasarrufu sağlamıştır. Su tasarrufunun yanısıra maliyet, enerji ve işgücü kazançları da gözlemlenmiştir. Temizlik kimyasallarının üretiminin planlamasında faydası ve kullanılabilirliği kanıtlanan bu sistem, ürünlerarası geçişin ürün karakteristiklerine göre yıkama gerektirdiği boya, tekstil, gıda ve diğer kimya sanayilerinde de kullanılabilme potansiyeline sahiptir.
Ertek, G., Akçay, A.E. (2010) “Kimya Sanayinde Su Tasarrufu İçin Karar Destek Sistemi.” İ.T.Ü. 12. Endüstriyel Kirlenme Kontrolü Sempozyumu, 16-18 Haziran 2010, Istanbul, Türkiye
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Kimya Sanayinde Su Tasarrufu İçin Karar Destek Sistemi
Dr. Gurdal Ertek’in onerdigi kitaplar:
Artificial Intelligence: A Modern Approach (3rd Edition) 3rd Edition
Network Flows: Theory, Algorithms, and Applications 1st Edition
Innovation in product form and function: customer perception of their value
The goal of product design is to obtain the maximum effect with minimum cost in functionality and aesthetic beauty. Consumers are attracted to the designs that reflect their use behaviors and psychological responses more than they are to the simple visual representations. When product functions and qualities are similar across products, customers make their purchasing decision upon aesthetic form. Form presents a significant competitive factor that improves the value of a product. Overall, the purpose of this study is to examine the most important product design factors that affect the market share trends of mobile phone companies. Study uses product characteristics for 1,028 mobile phones released between 2003 and 2008 as a case study. The multiple linear regression analysis is used to select highly correlated variables that influence the market share, and Mallow’s Cp method is used to determine the best-fitting model. The Partial Regression Coefficients are used to evaluate the relative importance of design criteria. The nine mobile phone design features that affect the market share were identified, and the block form style is determined as the most important design factor. Using these approaches, this study demonstrates how investments should be directed in the next mobile phone design process.
Kim, T., Okudan, G. and Ertek, G. (2009) “Innovation in product form and function: customer perception of their value.” In: ASME 2009 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE 2009), San Diego, CA, USA
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Innovation In Product Form And Function: Customer Perception Of Their Value
Dr. Gürdal Ertek recommends the following related books:
Engineering Design 5th Edition
Engineering Design: A Practical Guide
Visual Data Mining for Developing Competitive Strategies in Higher Education
Information visualization is the growing field of computer science that aims at visually mining data for knowledge discovery. In this paper, a data mining framework and a novel information visualization scheme is developed and applied to the domain of higher education. The presented framework consists of three main types of visual data analysis: Discovering general insights, carrying out competitive bench marking, and planning for High School Relationship Management (HSRM). In this paper the framework and the square tiles visualization scheme are described and an application at a private university in Turkey with the goal of attracting brightest students is demonstrated.
Ertek, G. (2009). “Visual Data Mining for Developing Competitive Strategies in Higher Education,” in Data Mining for Business Applications. Editors: Longbing Cao, Philip S. Yu, Chengqi Zhang and Huaifeng Zhang. Springer.
Note: This is the final draft version of this paper. Please cite this paper (or this final draft) as above.
IMPORTANT: Even though this draft erroneously shows the header “Chapter 1”, the final version appeared as “Chapter 18 – Visual Data Mining for Developing Competitive Strategies in Higher Education” in the book “Data Mining for Business Applications” edited by Longbing Cao, Philip S. Yu, Chengqi Zhang and Huaifeng Zhang, and published by Springer in 2009.
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Developing Competitive Strategies in Higher Education through Visual Data Mining
Dr. Gürdal Ertek recommends the following related books:
Data Mining for Business Applications 2009th Edition
An Open Source Java Code For Visualizing Supply Chain Problems
In this paper, we describe an open source Java class library for visualizing supply chain problems within a geographical context. The highly competitive markets and recent technological advances make the use of such supply chain network visualizations critical in both strategic and tactical levels. The most important characteristic of our work is its easy integration with any Java application. Our software differs from any other commercial and open source supply chain visualization tool by its simple structure, easy adoption and implementation and high compatibility. The main motivation of our study was to develop a simple – yet effective – library that would not require to learn and apply complicated visualization tools and data structures such as Geographical Information Systems (GIS). In this study, we illustrate the use of our visualization tool through maps of Turkey, Europe, North and South America, the United States and the NAFTA. We believe that ease of visualization offered by our open source tool will contribute to a multitude of projects in supply chain design, as well as increasing productive communication among practitioners, especially involved in strategic level decision making processes. We foresee that our supply chain visualization tool will fill a gap in this area with its simple but effective structure.
Yamaner, Y., Yamaner, Y., Akçay, A. E., Ertek, G. (2008) “An open source Java code for visualizing supply chain problems” . CELS 2008, Jönköping, Sweeden. (presented by Yekta Yamaner, Yalçın Yamaner and Alp Eren Akçay).
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An Open Source Java Code For Visualizing Supply Chain Problems
Dr. Gürdal Ertek recommends the following related books:
An Introduction to Geographical Information Systems (4th Edition)
The bullwhip effect in supply chain: Reflections after a decade
A decade has passed since the publication of the two seminal papers by Lee, Padmanabhan and Whang (1997) that describes the “bullwhip effect” in supply chains and characterizes its underlying causes. The bullwhip phenomenon is observed in supply chains where the decisions at the subsequent stages of the supply chain are made greedily based on local information, rather than through coordination based on global information on the state of the whole chain. The first consequence of this information distortion is higher variance in purchasing quantities compared to sales quantities at a particular supply chain stage. The second consequence is increasingly higher variance in order quantities and inventory levels in the upstream stages compared to their downstream stages (buyers). In this paper, we survey a decade of literature on the bullwhip effect and present the key insights reported by researchers and practitioners. We also present our reflections and share our vision of possible future.
Ertek, G., Eryılmaz, E. (2008) “The bullwhip effect in supply chain: Reflections after a decade” . CELS 2008, Jönköping, Sweeden. (presented by EmreEryılmaz).
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The Bullwhip Effect In Supply Chain Reflections After A Decade
Dr. Gürdal Ertek recommends the following related books:
Designing and Managing the Supply Chain 3e with Student CD 3rd Edition
Supply Chain Management (5th Edition)
Handbook of Experimental Economics
A taxonomy of logistics innovations
In this paper we present a taxonomy of supply chain and logistics innovations, which is based on an extensive literature survey. Our primary goal is to provide guidelines for choosing the most appropriate innovations for a company, such that the company can outrun its competitors. We investigate the factors, both internal and external to the company, that determine the applicability and effectiveness of the listed innovations. We support our suggestions with real world cases reported in literature.
Başar, A., Özşamlı, N., Akçay, A. E., Ertek, G. (2008) “A taxonomy of logistics innovations.” CELS 2008, Jönköping, Sweeden. (presented by Ayfer Başar and Nihan Özşamlı)
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A Taxonomy Of Logistics Innovations
Dr. Gürdal Ertek recommends the following related books:
Supply Chain Management (5th Edition)
World-Class Warehousing and Material Handling 1st Edition
Benchmarking the Turkish Apparel Retail Industry Through Data Envelopment Analysis (DEA) and Data Visualization
This paper presents a bench marking study of the Turkish apparel retailing industry. We have applied the Data Envelopment Analysis (DEA) methodology to determine the efficiencies of the companies in the industry. In the DEA model the number of stores, number of corners, total sales area and number of employees were included as inputs and annual sales revenue was included as the output. The efficiency scores obtained through DEA were visualized for gaining insights about the industry and revealing guidelines that can aid in strategic decision making.
Ertek, G., Can, M. A., and Ulus, F. (2007). “Bench marking the Turkish apparel retail industry through data envelopment analysis (DEA) and data visualization.” EUROMA 2007, Ankara, Turkey.
Note: This is the final draft version of this paper. Please cite this paper (or this final draft) as above.
Dr. Gürdal Ertek recommends the following related books:
Information Visualization: Design for Interaction (2nd Edition)
Teaching Warehousing Concepts through Interactive Animations and 3-D Models
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Teaching Warehousing Concepts through Interactive Animations and 3-D Models
Dr. Gürdal Ertek recommends the following related books:
World-Class Warehousing and Material Handling 1st Edition
Impact of Cross Aisles in a Rectangular Warehouse: A Computational Study
Order picking is typically the most costly operation in a warehouse and traveling is typically the most time consuming task within order picking. In this study we focus on the layout design for a rectangular warehouse, a warehouse with parallel storage blocks with main aisles separating them. We specifically analyze the impact of adding cross aisles that cut storage blocks perpendicularly, which can reduce travel times during order picking by introducing flexibility in going from one main aisle to the next. We consider two types of cross aisles, those that are equally spaced (Case 1) and those that are unequally spaced, which respectively have equal and unequal distances among them. For Case 2, we extend an earlier model and present a heuristic algorithm for finding the best distances among cross aisles. We carry out extensive computational experiments for a variety of warehouse designs. Our findings suggest that warehouse planners can obtain great travel time savings through establishing equally spaced cross aisles, but little additional savings in unequally-spaced cross isles. We present a look-up table that provides the best number of equally spaced cross aisles when the number of cross aisles (N) and the length of the warehouse (T) are given. Finally, when the values of N and T are not known, we suggest establishing three cross aisles in a warehouse.
Ertek, G., Incel, B. and Arslan, M. C. (2007). “Impact of Crossaisles in a rectangular warehouse: A computational study,” in Facility Logistics: Approaches and Solutions to Next Generation Challenges, Editor: Maher Lahmar. Auerbach.
Note: This is the final draft version of this paper. Please cite this paper (or this final draft) as above.
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Teaching Warehousing Concepts through Interactive Animations and 3-D Models
Dr. Gürdal Ertek recommends the following related books:
World-Class Warehousing and Material Handling 1st Edition
Visual Mining of Science Citation Data for Benchmarking Scientific and Technological Competitiveness of World Countries
In this paper we present a study where we visually analyzed science citation data to investigate the competitiveness of world countries in selected categories of science. The data set that we worked on in our study includes the number of papers published and the number of citations made in the ESI (Essential Science Indicators) database in 2004. The data set lists these values for practically every country in the world. In analyzing the data, we employ methods and software tools developed and used in the data mining and information visualization fields of the Computer Science. Some of the questions for which we look for answers in this study are the following: (a) Which countries are most competitive in the selected categories of science? (i.e. Engineering, Computer Science, Economics & Business) (b) What type of correlations exist between different categories of science? For example, do countries with many published papers in the field of Engineering science also have many papers published on Computer Science or Economics & Business? (c) Which countries produce the most influential papers? This analysis is needed since a country may have many papers published but these papers may be cited very rarely. (d) Can we gain useful and actionable insights by combining science citation data with socioeconomic and geographical data?
Arslan, M. C. and Ertek, G. (2007). “Visual mining of science citation data for benchmarking scientific and technological competitiveness of world countries.” 2. International Conference on Technology and Economic Development, Izmir, Turkey.
Note: This is the final draft version of this paper. Please cite this paper (or this final draft) as above.
Dr. Gürdal Ertek recommends the following related books:
Information Visualization: Design for Interaction (2nd Edition)
A Data Mining Framework for the Analysis of Patient Arrivals into Healthcare Centers
We present a data mining framework that can be applied for analyzing patient arrivals into healthcare centers. The sequentially applied methods are association mining, text cloud analysis, Pareto analysis, cross-tabular analysis, and regression analysis. We applied our framework using real-world data from a one of the largest public hospitals in the U.A.E., demonstrating its applicability and possible benefits. The dataset used was eventually 110,608 rows in total for the regression models, covering the most utilized 14 hospital units. The dataset is at least 10-fold larger than datasets used in closely-related research. The developed data mining framework can provide the input for a subsequent optimization model, which can be used to optimally assign appointments for patients, based on their arrival patterns.
The published paper can be accessed from the following URL:
https://dl.acm.org/citation.cfm?id=3176740
The presentation for this paper received the Best Presentation Award from among 11 presentations in its session at ICIT 2017.
Dr. Gürdal Ertek recommends the following related books:
Essentials of Business Analytics
Information Visualization: An Introduction by Robert Spence (2014-11-04)
Wind Turbine Accidents: A Data Mining Study
While the global production of wind energy is increasing, there exists a significant gap in the academic and practice literature regarding the analysis of wind turbine accidents. Our paper presents the results obtained from the analysis of 240 wind turbine accidents from around the world. The main focus of our paper is revealing the associations between several factors and deaths & injuries in wind turbine accidents. Specifically, the associations of death and injuries with the stage of the wind turbine’s life cycle (transportation, construction, operation, and maintenance) and the main cause factor categories (human, system/equipment, and nature) were investigated. To this end, we conducted a detailed investigation that integrates exploratory and statistical data analysis methods with data mining methods. The paper presents a multitude of insights regarding the accidents and discusses implications for wind turbine manufacturers, engineering and insurance companies, and government organizations.
Please cite this paper as follows:
Dr. Gürdal Ertek recommends the following related books:
Essentials of Business Analytics
Information Visualization: An Introduction by Robert Spence (2014-11-04)
Data Mining of Project Management Data: An Analysis of Applied Research Studies
Data collected and generated through and posterior to projects, such as data residing in project management software and post-project review documents, can be a major source of actionable insights and competitive advantage. This paper presents a rigorous methodological analysis of the applied research published in academic literature, on the application of data mining (DM) for project management (PM). The objective of the paper is to provide a comprehensive analysis and discussion of where and how data mining is applied for project management data and to provide practical insights for future research in the field.
The published paper can be accessed from the following url:
https://dl.acm.org/citation.cfm?id=3176714
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Dr. Gürdal Ertek recommends the following related books:
Essentials of Business Analytics
New knowledge in strategic management through visually mining semantic networks
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Today’s highly competitive business world requires that managers be able to make fast and accurate strategic decisions, as well as learn to adapt to new strategic challenges. This necessity calls for a deep experience and a dynamic understanding of strategic management. The trait of dynamic understanding is mainly the skill of generating additional knowledge and innovative solutions under the new environmental conditions. Building on the concepts of information processing, this paper aims to support managers in constructing new strategic management knowledge, through representing and mining existing knowledge through graph visualization. To this end, a three-stage framework is proposed and described. The framework can enable managers to develop a deeper understanding of the strategic management domain, and expand on existing knowledge through visual analysis. The model further supports a case study that involves unstructured knowledge of profit patterns and the related strategies to succeed using these patterns. The applicability of the framework is shown in the case study, where the unstructured knowledge in a strategic management book is first represented as a semantic network, and then visually mined for revealing new knowledge.
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New Knowledge in Strategic Management through Visually Mining Semantic Networks
Dr. Gürdal Ertek recommends the following related books:
Information Visualization: An Introduction by Robert Spence (2014-11-04)
Strategic Management: Concepts 3rd Edition
Depolama Sistemleri
Depolar, ürünlerin dağıtımı sırasında kullanılan geçici stok noktalarıdır. Depolar, tedarik zincirlerinin hedeflenen amaçlar doğrultusunda çalışmasına ve lojistik faaliyetlerinin etkin yürütülmesine önemli katkıda bulunurlar. Depolar, üretim tesislerinin içinde veya yanında bulunabileceği gibi, ayrı, özel olarak inşa edilmiş yapılar halinde de kurulabilirler. Şekil 4.1’de, tipik bir deponun genel görünüşü sunulmaktadır. Malzeme/ürünler, bu tipik depoda raflarda depolanmakta, malzeme giriş çıkışları depo rampaları üzerinden gerçekleşmekte, yükleme/boşaltma işlemleri forklift olarak adlandırılan araçlar kullanılarak gerçekleştirilmektedir. Deponun yönetimi, Depo Yöneticisi (Warehouse Manager) ya da Depo Müdürüunvanını taşıyan bir lojistik uzmanı tarafından yürütülmektedir.
Ertek, G., (2012) “Depolama Sistemleri (Warehousing Systems)”, Uluslararası Lojistik, Anadolu Üniversitesi Yayınları, Açıköğretim Fakültesi Yayını No: 1593. Eds. Bülent Çatay and Gürkan Öztürk.
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Depolama Sistemleri
Dr. Gurdal Ertek’in onerdigi kitaplar:
World-Class Warehousing and Material Handling, Second Edition
Text Mining Analysis of Wind Turbine Accidents: An Ontology-Based Framework
As the global energy demand is increasing, the share of renewable energy and specifically wind energy in the supply is growing. While vast literature exists on the design and operation of wind turbines, there exists a gap in the literature with regards to the investigation and analysis of wind turbine accidents. This paper describes the application of text mining and machine learning techniques for discovering actionable insights and knowledge from news articles on wind turbine accidents. The applied analysis methods are text processing, clustering, and multidimensional scaling (MDS). These methods have been combined under a single analysis framework, and new insights have been discovered for the domain. The results of our research can be used by wind turbine manufacturers, engineering companies, insurance companies, and government institutions to address problem areas and enhance systems and processes throughout the wind energy value chain.
The published paper can be accessed from the following url:
http://ieeexplore.ieee.org/document/8258305/
Dr. Gürdal Ertek recommends the following related books:
Essentials of Business Analytics
Information Visualization: An Introduction by Robert Spence (2014-11-04)
A Framework for Mining RFID Data From Schedule-Based Systems
A schedule-based system is a system that operates on or contains within a schedule of events and breaks at particular time intervals. Given RFID data from a schedule-based system, what set of actions and computations, and what type of data mining methods can be applied so that one can obtain actionable insights regarding the system and domain? The research goal of this paper is to answer this posed research question through the development of a framework that systematically produces actionable insights for a given schedule-based system. We show that through integrating appropriate data analysis methodologies as a unified framework, one can obtain many insights from even a very simple RFID dataset, which contains only very few fields. The developed framework is general, and is applicable to any schedule-based system, as long as it operates under a few basic assumptions. The types of insights are also general, and are formulated in the most abstract possible way. The applicability of the developed framework is illustrated through a case study, where real world data from a schedule-based system is analyzed using the introduced framework. Insights obtained include the profiling of entities and events, the interactions between entity and events, and the relations between events.
Please cite this paper as follows:
Dr. Gürdal Ertek recommends the following related books:
Essentials of Business Analytics
Information Visualization: An Introduction by Robert Spence (2014-11-04)
Graph-based analysis of resource dependencies in project networks
It is a challenge to visualize high dimensional data such as project data to yield new and interesting types of insights. To address this, we augment the traditional PERT network diagram with additional nodes that represent resources, and with arcs from the resource nodes to the activities that use those resources. Subsequently, we apply various graph layout algorithms that can reveal the hidden patterns in the graph data. Finally, we also map various attributes of the activities to the features of activity nodes. We illustrate the applicability and usefulness of our methodology through two case studies, where we visualize data from a benchmark data library and from the real world.
Ertek, G., Choi, B.-G., Chi, X., Yang, D., Yong, O. B., “Graph-based analysis of resource dependencies in project networks”. In Proceedings of 2015 IEEE International Conference on Big Data (Big Data). (2015) 2143 – 2149.
Note: This is the final draft version of this paper. Please cite this paper (or this final draft) as above.
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Graph-Based Analysis of Resource Dependencies in Project Networks
Dr. Gürdal Ertek recommends the following related books:
Information Visualization: An Introduction, 3rd Ed. 2014 Edition
Network Flows: Theory, Algorithms, and Applications 1st Edition
Project Management: A Systems Approach to Planning, Scheduling, and Controlling
Profit Estimation Error Analysis in Recommender Systems
It is a challenge to estimate expected benefits from recommender systems based on association rule mining. This paper aims to address this challenge and presents a study of buying preferences of a sample of retail customers. It reveals a monotonic, non-linear relationship between the expected profits (as a function of information loss) and minimum support threshold levels, when considering transactions for a recommender system based on association rules. This finding is significant for recommender systems that utilize potential profits as a decision-making criterion.
Ertek, G., Chi, X., Yee, G., Yong, O. B., Choi, B.-G., “Profit Estimation Error Analysis in Recommender Systems based on Association Rules”. In Proceedings of 2015 IEEE International Conference on Big Data (Big Data). (2015) 2138 – 2142.
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Profit Estimation Error Analysis in Recommender Systems based on Association Rules
Dr. Gürdal Ertek recommends the following related books:
Information Visualization: An Introduction by Robert Spence (2014-11-04)
Perception Gap and its Impact on Supply Chain Performance
The main purpose of this paper is to frame the perception differences between the buyer and supplier on the supply chain’s operational delivery, and to investigate their causal relation to the overall supply chain performance. A conceptual three-level model is developed to theorise the structural existence of the perception gaps in primarily a dyadic buyer-supplier setting. Using the primary data gathered through a major survey exercise, confirmative factor analysis and structural equation modelling were conducted to test the hypotheses on the significance and relevance of the perception gaps in supply chain management. This study provides a better conceptual understanding of the perception differences on the required as well as achieved operational deliveries within the supplier-buyer dyad, and reveals their significant and negative causal impact on the overall supply chain performance.
Dr. Gürdal Ertek recommends the following related books:
Operations and Supply Chain Management (Mcgraw-hill Education)
Information Visualization: An Introduction by Robert Spence (2014-11-04)
Competitiveness of Top 100 U.S. Universities: A Benchmark Study Using Data Envelopment Analysis (DEA) and Information Visualization
This study presents a comprehensive benchmarking study of the top 100 U.S. Universities. The methodologies used to come up with insights into the domain are Data Envelopment Analysis (DEA) and information visualization. Various approaches to evaluating academic institutions have appeared in the literature, including a DEA literature dealing with the ranking of universities. Our study contributes to this literature by the extensive incorporation of information visualization and subsequently the discovery of new insights. The main purpose of the study is creating an objective basis of assessment for the candidate students to use for university preferences. Meanwhile, the actionable insights obtained for the domain can guide university managers, as well as candidate students.
Ertek G., Tokdil, B., Günaydın, İ., Göğüş, A. (2014) Competitiveness of Top 100 U.S. Universities: A Benchmark Study Using Data Envelopment Analysis (DEA) and Information Visualization, in I. Osman, A.L. Anouze and A. Emrouznejad (eds.) Strategic Performance Management and Measurement Using Data Envelopment Analysis, DOI: 10.4018/978-1-4666-4474-8, ISBN13: 9781466644748, IGI_Global (In Press).
Note: This is the final draft version of this paper. Please cite this paper (or this final draft) as above.
Dr. Gürdal Ertek recommends the following related books:
- Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software
- Introduction to Data Envelopment Analysis and Its Uses: With DEA-Solver Software and References 2006th Edition
Modelling the Supply Chain Perception Gaps
This study applies the research of perception gap analysis to supply chain integration and develops a generic model, the 3-Level Gaps Model, with the goal of contributing to harmonization and integration in the supply chain. The model suggests that significant perception gaps may exist among supply chain members with regards to the importance of different performance criteria. The concept of the model is conceived through an empirical and inductive approach, combining the research discipline of supply chain relationship and perception gap analysis. First hand data has been collected through a survey across a key buyer in the motor insurance industry and its eight suppliers. Rigorous statistical analysis testified the research hypotheses, which in turn verified the validity and relevance of the developed 3-Level Gaps Model. The research reveals the significant existence of supply chain perception gaps at all three levels as defined, which could be the root-causes to underperformed supply chain.
Note: This is the final draft version of this paper. Please cite this paper (or this final draft) as above.
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Modelling the supply chain perception gaps
Industrial Benchmarking through Information Visualization and Data Envelopment Analysis: A New Framework
We present a benchmarking study on the companies in the Turkish food industry based on their financial data. Our aim is to develop a comprehensive benchmarking framework using Data Envelopment Analysis (DEA) and information visualization. Besides DEA, a traditional tool for financial benchmarking based on financial ratios is also incorporated. The consistency/inconsistency between the two methodologies is investigated using information visualization tools. In addition, k-means clustering, a fundamental method from machine learning, is applied to understand the relationship between k-means clustering and DEA.
Ertek G., Sevinç, M., Ulus, F., Köse, Ö., Şahin, G. (2014) “Industrial Benchmarking through Information Visualization and Data Envelopment Analysis: A New Framework”, in I. Osman, A.L. Anouze and A. Emrouznejad (eds.) Strategic Performance Management and Measurement Using Data Envelopment Analysis, DOI: 10.4018/978-1-4666-4474-8, ISBN13: 9781466644748, IGI_Global (In Press).
Note: This is the final draft version of this paper. Please cite this paper (or this final draft) as above.
Dr. Gürdal Ertek recommends the following related books:
- Introduction to Data Envelopment Analysis and Its Uses: With DEA-Solver Software and References 2006th Edition
- Information Visualization: Design for Interaction (2nd Edition) 2nd Edition
Rule Based Expert Systems for Supporting University Students
There are more than 15 million college students in the US alone. Academic advising for courses and scholarships is typically performed by human advisors, bringing an immense managerial workload to faculty members, as well as other staff at universities. This paper reports and discusses the development of two educational expert systems at a private international university. The first expert system is a course advising system which recommends courses to undergraduate students. The second system suggests scholarships to undergraduate students based on their eligibility. While there have been reported systems for course advising, the literature does not seem to contain any references to expert systems for scholarship recommendation and eligibility checking. Therefore the scholarship recommender that we developed is first of its kind. Both systems have been implemented and tested using Oracle Policy Automation (OPA) software.
Engin, G., Aksoyer, B., Avdagic, M., Bozanlı, D., Hanay, U., Maden, M., Ertek, G. (2014) Rule-based expert systems for supporting university students. In Proceedings of 2nd International Conference on Information Technology and Quantitative Management, ITQM 2014. Procedia Computer Science 31 ( 2014 ) 22 – 31.
Note: This is the final draft version of this paper. Please cite this paper (or this final draft) as above.
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Rule-based expert systems for supporting university students
Dr. Gürdal Ertek recommends the following related books:
- Expert Systems: Principles and Programming, Fourth Edition 4th Edition
- Jess in Action: Java Rule-Based Systems (In Action series)
Optimizing the electric charge station network of ESARJ
In this study, we adopt the classic capacitated p-median location model for the solution of a network design problem, in the domain of electric charge station network design, for a leading company in Turkey. Our model encompasses the location preferences of the company managers as preference scores incorporated into the objective function. Our model also incorporates the capacity concerns of the managers through constraints on maximum number of districts and maximum population that can be served from a location. The model optimally selects the new station locations and the visualization of model results provides additional insights.
Gavranović, H., Barut, A., Ertek, E., Yüzbaşıoğlu, O.B., Pekpostalcı, O., Tombuş, O., Optimizing the electric charge station network of EŞARJ. In Proceedings of 2nd International Conference on Information Technology and Quantitative Management, ITQM 2014. Procedia Computer Science 31 ( 2014 ) 15 – 21.
Note: This is the final draft version of this paper. Please cite this paper (or this final draft) as above.
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Optimizing the electric charge station network of EŞARJ
Dr. Gürdal Ertek recommends the following related books:
- Network Flows: Theory, Algorithms, and Applications 1st Edition
- Operations Research: An Introduction (9th Edition)
- Operations Research: Applications and Algorithms 3rd Revised & enlarged Edition
- Designing and Managing the Supply Chain 3e with Student CD 3rd Edition
Risk Factors and Identifiers for Alzheimer’s Disease: A Data Mining Analysis
The topic of this paper is the Alzheimer’s Disease (AD), with the goal being the analysis of risk factors and identifying tests that can help diagnose AD. While there exists multiple studies that analyze the factors that can help diagnose or predict AD, this is the first study that considers only non-image data, while using a multitude of techniques from machine learning and data mining. The applied methods include classification tree analysis, cluster analysis, data visualization, and classification analysis. All the analysis, except classification analysis, resulted in insights that eventually lead to the construction of a risk table for AD. The study contributes to the literature not only with new insights, but also by demonstrating a framework for analysis of such data. The insights obtained in this study can be used by individuals and health professionals to assess possible risks, and take preventive measures.
Ertek, G., Tokdil, B., Günaydın, İ. “Risk Factors and Identifiers for Alzheimer’s Disease: A Data Mining Analysis”. In Proceedings of Industrial Conference on Data Mining (ICDM 2014), Springer. Ed: Petra Perner (2014)
Note: This is the final draft version of this paper. Please cite this paper (or this final draft) as above.
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Risk Factors and Identifiers for Alzheimer’s Disease: A Data Mining Analysis
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Dr. Gürdal Ertek recommends the following related books:
- Data Mining: Concepts and Techniques, Third Edition (The Morgan Kaufmann Series in Data Management Systems) 3rd Edition
- Data Mining and Analysis: Fundamental Concepts and Algorithms
Fuzzy Bi-Objective Preventive Health Care Network Design
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Preventive health care is unlike health care for acute ailments, as people are less alert to their unknown medical problems. In order to motivate public and to attain desired participation levels for preventive programs, the attractiveness of the health care facility is a major concern. Health economics literature indicates that attractiveness to a facility is significantly influenced by proximity of the clients to it. Hence attractiveness is generally modelled as a function of distance. However, abundant empirical evidence suggests that other qualitative factors such as perceived quality, attractions nearby, amenities, etc. also influence attractiveness. Therefore, a realistic measure should incorporate the vagueness in the concept of attractiveness to the model. The public policy makers should also maintain the equity among various neighborhoods, which should be considered as a second objective. Finally, even though general tendency in the literature is to focus on health benefits, the cost effectiveness is still a factor that should be considered. In this paper, a fuzzy bi-objective model with budget constraints of the problem is developed. Later, by modelling the attractiveness by means of fuzzy triangular numbers and treating the budget constraint as a soft constraint, a modified (and more realistic) version of the model is introduced. Two solution methodologies, namely fuzzy goal programming and fuzzy chance constrained optimization are proposed as solutions. Both the original and the modified models are solved within the framework of a case study in Istanbul, Turkey. In the case study, the Microsoft Bing Map is utilized in order to determine more accurate distance measures among the nodes.
Please cite the paper as follows:
Dr. Gürdal Ertek recommends the following related books:
Network Flows: Theory, Algorithms, and Applications 1st Edition
Essentials of Business Analytics 2nd Edition
Information Visualization: An Introduction, 3rd Ed. 2014 Edition
Competitive Pattern-Based Strategies under Complexity: The Case of Turkish Managers
This paper aims to augment current Enterprise Architecture (EA) frameworks to become pattern-based. The main motivation behind pattern-based EA is the support for strategic decisions based on the patterns prioritized in a country or industry. Thus, to validate the need for pattern-based EA, it is essential to show how different patterns gain priority under different contexts, such as industries. To this end, this chapter also reveals the value of alternative managerial strategies across different industries and business functions in a specific market, namely Turkey. Value perceptions for alternative managerial strategies were collected via survey, and the values for strategies were analyzed through the rigorous application of statistical techniques. Then, evidence was searched and obtained from business literature that support or refute the statistically-supported hypothesis. The results obtained through statistical analysis are typically confirmed with reports of real world cases in the business literature. Results suggest that Turkish firms differ significantly in the way they value different managerial strategies. There also exist differences based on industries and business functions. Our study provides guidelines to managers in Turkey, an emerging country, on which strategies are valued most in their industries. This way, managers can have a better understanding of their competitors and business environment, and can develop the appropriate pattern-based EA to cope with complexity and succeed in the market.
Ertek, G., Kasap, N., Tokman, S., Bilgin, Ö., İnanoğlu, M. (2013) “Competitive Pattern-Based Strategies under Complexity: The Case of Turkish Managers”, In P. Saha (ed.) A Systemic Perspective to Managing Complexity with Enterprise Architecture. ISBN-10: 1466645180.
Note: This is the final draft version of this paper. Please cite this paper (or this final draft) as above.
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Competitive Pattern-Based Strategies under Complexity: The Case of Turkish Managers
- Dr. Gürdal Ertek recommends the following related books:
Profit Patterns: 30 Ways to Anticipate and Profit from Strategic Forces Reshaping Your Business - Practical Nonparametric Statistics, 3rd Edition
Text Mining with RapidMiner
The goal of this chapter is to introduce the text mining capabilities of RAPIDMINER through a use case. The use case involves mining reviews for hotels at TripAdvisor.com, a popular web portal. We will be demonstrating basic text mining in RAPIDMINER using the text mining extension. We will present two different RAPIDMINER processes, namely Process01 andProcess02, which respectively describe how text mining can be combined with association mining and cluster modeling. While it is possible to construct each of these processes from scratch by inserting the appropriate operators into the process view, we will instead import these two processes readily from existing model files. Throughout the chapter, we will at times deliberately instruct the reader to take erroneous steps that result in undesired outcomes. We believe that this is a very realistic way of learning to use RAPIDMINER, since in practice, the modeling process frequently involves such steps that are later corrected.
Ertek, G., Tapucu, D., and Arın, I., 2013. Text Mining with RapidMiner. In: Markus Hofmann, Ralf Klinkenberg (Eds.) RapidMiner: Data Mining Use Cases and Business Analytics Applications. Chapman & Hall/CRC Data Mining and Knowledge Discovery Series. Chapman and Hall/CRC.
Note: This is the final draft version of this paper. Please cite this paper (or this final draft) as above.
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Text Mining With Rapidminer
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TripAdvisor Dataset
Dr. Gürdal Ertek recommends the following related books:
Linking Behavioral Patterns to Personal Attributes through Data Re-Mining
A fundamental challenge in behavioral informatics is the development of methodologies and systems that can achieve its goals and tasks, including behavior pattern analysis. This study presents such a methodology, that can be converted into a decision support system, by the appropriate integration of existing tools for association mining and graph visualization. The methodology enables the linking of behavioral patterns to personal attributes, through the re-mining of colored association graphs that represent item associations. The methodology is described and mathematically formalized and is demonstrated in a case study related with the retail industry.
Ertek, G., Demiriz, A., Çakmak, F. (2012) “Linking Behavioral Patterns to Personal Attributes through Data Re-Mining” in Behavior Computing: Modeling, Analysis, Mining, and Decision. Eds: Longbing Cao, Philip S. Yu. Springer.
Note: This is the final draft version of this paper. Please cite this paper (or this final draft) as above.
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Linking Behavioral Patterns to Personal Attributes through Data Re-Mining
Dr. Gürdal Ertek recommends the following related books:
- Behavior Computing: Modeling, Analysis, Mining and Decision 2012th Edition
- Analyzing Social Media Networks with NodeXL: Insights from a Connected World 1st Edition
- The Craft of Information Visualization: Readings and Reflections (Interactive Technologies) 1st Edition
Statistical Scoring Algorithm for Learning and Study Skills
This study examines the study skills and the learning styles of university students by using scoring method. The study investigates whether the study skills can be summarized in a single universal score that measures how hard a student works. The sample consists of 418 undergraduate students of an international university. The presented scoring was method adapted from the domain of risk management. The proposed method computes an overall score that represents the study skills, using a linear weighted summation scheme. From among 50 questions regarding to learning and study skills, the 30 highest weighted questions are suggested to be used in the future studies as a learning and study skills inventor. The proposed scoring method and study yield results and insights that can guide educators regarding how they can improve their students’ study skills. The main point drawn from this study is that the students greatly value opportunities for interaction with instructors and peers, cooperative learning and active engagement in lectures.
Gogus, A. & Ertek, G. (2012). “Statistical Scoring Algorithm for Study Skills and Kolb’s Learning Styles”. Presented at the International Conference of New Horizons in Education-2012 (INTE-2012), Prague, CZECH REPUBLIC, June 6, 2012.
Note: This is the final draft version of this paper. Please cite this paper (or this final draft) as above.
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Statistical Scoring Algorithm for Learning and Study Skills
Dr. Gürdal Ertek recommends the following related books:
Essentials of Business Analytics 2nd Edition
Scoring and Predicting Risk Preferences
This study presents a methodology to determine risk scores of individuals, for a given financial risk preference survey. To this end, we use a regression-based iterative algorithm to determine the weights for survey questions in the scoring process. Next, we generate classification models to classify individuals into risk-averse and risk-seeking categories, using a subset of survey questions. We illustrate the methodology through a sample survey with 656 respondents. We find that the demographic (indirect) questions can be almost as successful as risk-related (direct) questions in predicting risk preference classes of respondents. Using a decision-tree based classification model, we discuss how one can generate actionable business rules based on the findings.
Ertek, G., Kaya, M., Kefeli, C., Onur, Ö., Uzer, K. (2012) “Scoring and predicting risk preferences” in Behavior Computing: Modeling, Analysis, Mining and Decision. Eds: Longbing Cao, Philip S. Yu. Springer.
Note: This is the final draft version of this paper. Please cite this paper (or this final draft) as above.
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Scoring and Predicting Risk Preferences
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Supplementary Document for “Scoring and Predicting Risk Preferences”
Dr. Gürdal Ertek recommends the following related books:
- Behavior Computing: Modeling, Analysis, Mining and Decision 2012th Edition
- Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management Paperback – April 12, 2011
Learning and Personal Attributes of University Students in Predicting and Classifying the Learning Styles
Developing effective study skills and learning habits is very important for university students, not only for getting a university degree but also for preparing themselves for their career. Students and their instructors should be aware of what attributes related to students’ perceptions and habits influence their learning styles. Studies in literature have mainly used Kolb’s four-region styles, and this study is one of the few that investigate Kolb’s nine-region styles and the only study that compares the two with data from the field. This is the first study in literature that investigates the research question of how important the various learning and personal attributes of university students are in predicting and classifying the learning styles. The main contribution of this study is showing that the Kolb’s four-region and the nine-region learning style can be explained through different attributes. This study is also valuable for discovering the relations of the students’ personal attributes, the students’ learning styles and perceptions about studying and learning. Study planning, active participation, and group studies are listed as the most desired learning activities. Making learners aware of their learning styles and how to accommodate this in the learning environment obtains significant benefits to learning outcomes.
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Dr. Gürdal Ertek recommends the following related books
Lojistik Bilişim Sistemleri
Bilişim Sistemleri, verinin toplanması, işlenmesi, depolanması ve bilgisayar ağları üzerinden istenen bir uca güvenli bir şekilde iletilerek kullanıcıların hizmetine sunulmasında kullanılan,ve donanım, yazılım ve iletişim teknolojilerini bütünleştiren sistemlerdir. Bu tümleşik yapılar, yazılım uygulamaları ve bilgisayar donanımının tasarlanması, geliştirilmesi, işletimi, yönetimi ve desteğini içeren hizmetler ile oluşturulur ve sürdürülürler.
Bilişim Sistemleri, bilginin işlendiği ve paylaşıldığı tüm yapılarda kullanılmaktadır. Her bilim dalı ve iş kolu,bilişim sistemlerini kendi ihtiyaçları doğrultusunda yapılandırır. Bilginin işlendiği bilgisayar sistemleri genel olarak tüm yapılarda benzer olmakla birlikte özellikle yazılım her alanda farklılık gösterir. Benzer şekilde her iş kolunda bilgiyi toplama ve erişim için farklı çevre birimleri ve yöntemler kullanılır. Bu bölümde lojistik faaliyetlerine dönükLojistik Bilişim Sistemleri incelenecektir.
Ertek, G. Aba, B., (2012) “Lojistik Bilişim Sistemleri (Logistics Information Systems)”, Uluslararası Lojistik, Anadolu Üniversitesi Yayınları, Açıköğretim Fakültesi Yayını No: 1593. Eds. Bülent Çatay and Gürkan Öztürk.
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Lojistik Bilişim Sistemleri
Insights into the Efficiencies of On-Shore Wind Turbines: A Data-Centric Analysis
Literature on renewable energy alternative of wind turbines does not include a multidimensional benchmarking studythat can help investment decisions as well as design processes. This paper presents a data-centric analysis of commercial on-shore wind turbines and provides actionable insights through analytical benchmarking through Data Envelopment Analysis (DEA), visual data analysis, and statistical hypothesis testing. The paper also introduces a novel visualization approach for the understanding and the interpretation of reference sets, the set of efficient wind turbines that should be taken as benchmark by inefficient ones.
Ertek, G., Tunç, M.M., Kurtaraner, E., Kebude, D., 2012, ‘Insights into the Efficiencies of On-Shore Wind Turbines: A Data-Centric Analysis’, INISTA 2012 Conference. July 2-4, 2012, Trabzon, Turkey. (indexed in IEEE Electronic Library)
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Insights into the Efficiencies of On-Shore Wind Turbines: A Data-Centric Analysis
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- Information Visualization: Design for Interaction (2nd Edition)
- Wind Turbine Technology (Go Green with Renewable Energy Resources) 1st Edition
Lojistik Bilisim Sistemleri Için Bir Sınıflandırma (Taksonomi)
Lojistik Bilisim Sistemleri – Bilişim Sistemleri, donanım, yazılım ve iletişim teknolojilerini bütünleştiren ve verinin toplanması, işlenmesi, depolanması ve bilgisayar ağları üzerinden istenen bir uca güvenli bir şekilde iletilerek kullanıcıların hizmetine sunulmasında kullanılan sistemlerdir. Bilişim sistemleri temel olarak belirtilen bu amaçlara hizmet eden bilgisayar donanımı ve yazılım uygulamalarını içerir. Bu donanım ve yazılımların geliştirilmesi, işletimi, yönetimi ve desteğini içeren hizmet süreçleri ilebilişim sistemleri oluşturulur ve sürdürülürler.
Günümüzde bilişim sistemlerinin yaygınlaşması ile çok fazla miktarda yeni kavram gündeme gelmektedir. Lojistik konusunda temel ilgi alanı olarak çalışan profesyonellerin kayda değer bir kısmı da dahil olmak üzere lojistikle ilgili pek çok kişi, Lojistik Bilişim Sistemleri’yle ilgili tüm resmi görebilecekleri bir kaynağa sahip değildir. Sınıflandırma (taksonomi), belli bir konudaki (örneğin bir bilim dalı konusundaki) bilgi birikiminin sınıflandırılmasını, bu konuyla ilgili gerçeklerin bütünsel bir çerçevede yapılandırılmasını konu alır (McCarthy and Keith, 2000). Bu makalede, Lojistik Bilişim Sistemleri kavramlarıyla ilgili büyük resmi bütünsel bir biçimde görebilmeyi sağlayacak bir sınıflandırma (taksonomi) sunulacaktır.
Ertek, G., Aba, B. (2012) “Lojistik Bilişim Sistemleri İçin Bir Sınıflandırma (Taksonomi)” Lojistik, Sayı: 25, Sayfa: 27-31.
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Lojistik Bilişim Sistemleri İçin Bir Siniflandirma (taksonomi)
Dr. Gurdal Ertek’in onerdigi kitaplar:
World-Class Warehousing and Material Handling, Second Edition
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Encapsulating And Representing The Knowledge On The Evolution Of An Engineering System
This paper proposes a cross-disciplinary methodology for a fundamental question in product development: How can the innovation patterns during the evolution of an engineering system (ES) be encapsulated, so that it can later be mined through data analysis methods? Reverse engineering answers the question of which components a developed engineering system consists of, and how the components interact to make the working product. TRIZ answers the question of which problem-solving principles can be, or have been employed in developing that system, in comparison to its earlier versions, or with respect to similar systems. While these two methodologies have been very popular, to the best of our knowledge, there does not yet exist a methodology that reverse-engineers, encapsulates and represents the information regarding the application of TRIZ through the complete product development process. This paper suggests such a methodology that consists of mathematical formalism, graph visualization, and database representation. The proposed approach is demonstrated by analyzing the design and development process for a prototype wrist-rehabilitation robot and representing the process as a graph that consists of TRIZ principles.
Ertek, G., Erdogan, A., Patoglu, V., Tunç, M.M., Citak, C., Vanli, T., 2012, ‘Encapsulating And Representing The Knowledge On The Evolution Of An Engineering System’, Asme Idetc/Cie 2012. August 12-15, Chicago, Il, Usa.
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Encapsulating And Representing The Knowledge On The Evolution Of An Engineering System
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- TRIZ Matrix
- And Suddenly the Inventor Appeared: TRIZ, the Theory of Inventive Problem Solving 2nd Edition
- Engineering Design: A Practical Guide
Re-Mining Association Mining Results through Visualization, Data Envelopment Analysis, and Decision Trees
Re-mining is a general framework which suggests the execution of additional data mining steps based on the results of an original data mining process. This study investigates the multi-faceted re-mining of association mining results, develops and presents a practical methodology, and shows the applicability of the developed methodology through real world data. The methodology suggests re-mining using data visualization, data envelopment analysis, and decision trees. Six hypotheses, regarding how re-mining can be carried out on association mining results, are answered in the case study through empirical analysis.
Ertek, G., Tunç, M.M., (2012) “Re-Mining Association Mining Results through Visualization, Data Envelopment Analysis, and Decision Trees”, in Computational Intelligence Applications in Industrial Engineering, Ed: C. Kahraman, Springer.
Note: This is the final draft version of this paper. Please cite this paper (or this final draft) as above.
Dr. Gürdal Ertek recommends the following related books:
- Information Visualization: Design for Interaction (2nd Edition)
- Introduction to Data Envelopment Analysis and Its Uses: With DEA-Solver Software and References 2006th Edition
- Data Mining: Concepts and Techniques, Third Edition (The Morgan Kaufmann Series in Data Management Systems) 3rd Edition
- Post-mining of Association Rules: Techniques for Effective Knowledge Extraction 1st Edition
A taxonomy of supply chain innovations
In this paper, a taxonomy of supply chain and logistics innovations was developed and presented. The taxonomy was based on an extensive literature survey of both theoretical research and case studies. The primary goals are to provide guidelines for choosing the most appropriate innovations for a company and helping companies in positioning themselves in the supply chain innovations landscape. To this end, the three dimensions of supply chain innovations, namely the goals, supply chain attributes, and innovation attributes were identified and classified. The taxonomy allows for the efficient representation of critical supply chain innovations information, and serves the mentioned goals, which are fundamental to companies in a multitude of industries.
Başar, A., Özsamlı, N., A. E. Akçay, G. Kahvecioğlu, Ertek., G. (2011). “A taxonomy of supply chain innovations”. African Journal of Business Management. 5(30), pp. 11968-11977, 30 November, 2011.
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A taxonomy of supply chain innovations
Dr. Gürdal Ertek recommends the following related books:
Re-Mining Item Associations: Methodology and A Case Study in Apparel Retailing
Association mining is the conventional data mining technique for analyzing market basket data and it reveals the positive and negative associations between items. While being an integral part of transaction data, pricing and time information have not been integrated into market basket analysis in earlier studies. This paper proposes a new approach to mine price, time and domain related attributes through re-mining of association mining results. The underlying factors behind positive and negative relationships can be characterized and described through this second data mining stage. The applicability of the methodology is demonstrated through the analysis of data coming from a large apparel retail chain, and its algorithmic complexity is analyzed in comparison to the existing techniques.
Demiriz, A., Ertek, G., Kula, U., Atan, T. (2011). “Re-Mining Item Associations: Methodology and a Case Study in Apparel Retailing”. Decision Support Systems, 52,pp. 284–293.
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Re-mining item associations: Methodology and a case study in apparel retailing
Dr. Gürdal Ertek recommends the following related books:
- Analyzing Social Media Networks with NodeXL: Insights from a Connected World 1st Edition
- Data Mining: Concepts and Techniques, Third Edition (The Morgan Kaufmann Series in Data Management Systems) 3rd Edition
Actionable Insights Through Association Mining of Exchange Rates: A Case Study
Association mining is the methodology within data mining that researches associations among the elements of a given set, based on how they appear together in multiple subsets of that set. Extensive literature exists on the development of efficient algorithms for association mining computations, and the fundamental motivation for this literature is that association mining reveals actionable insights and enables better policies. This motivation is proven valid for domains such as retailing, healthcare and software engineering, where elements of the analyzed set are physical or virtual items that appear in transactions. However, the literature does not prove this motivation for databases where items are “derived items”, rather than actual items. This study investigates the association patterns in changes of exchange rates of US Dollar, Euro and Gold in the Turkish economy, by representing the percentage changes as “derived items” that appear in “derived market baskets”, the day on which the observations are made. The study is one of the few in literature that applies such a mapping and applies association mining in exchange rate analysis, and the first one that considers the Turkish case. Actionable insights, along with their policy implications, demonstrate the usability of the developed analysis approach.
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Dr. Gürdal Ertek recommends the following related books:
Essentials of Business Analytics 2nd Edition
Information Visualization: An Introduction, 3rd Ed. 2014 Edition
A Framework for Automated Association Mining Over Multiple Databases
Literature on association mining, the data mining methodology that investigates associations between items, has primarily focused on efficiently mining larger databases. The motivation for association mining is to use the rules obtained from historical data to influence future transactions. However, associations in transactional processes change significantly over time, implying that rules extracted for a given time interval may not be applicable for a later time interval. Hence, an analysis framework is necessary to identify how associations change over time. This paper presents such a framework, reports the implementation of the framework as a tool, and demonstrates the applicability of and the necessity for the framework through a case study in the domain of finance.
Çinicioğlu, E. N., Ertek, G., Demirer, D., Yörük, E., (2011) “A Framework for Automated Association Mining Over Multiple Databases”. Proceedings of International Symposium on Innovations in Intelligent Systems and Applications 2011. (IEEE). June 15-17, 2011, Istanbul, Turkey.
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A Framework for Automated Association Mining Over Multiple Databases
Dr. Gürdal Ertek recommends the following related books:
- Data Mining: Concepts and Techniques, Third Edition (The Morgan Kaufmann Series in Data Management Systems) 3rd Edition
- Analyzing Social Media Networks with NodeXL: Insights from a Connected World 1st Edition
- Post-mining of Association Rules: Techniques for Effective Knowledge Extraction 1st Edition
Assessing the Adverse Effects of Interbank Funds on Bank Efficiency Through Using Semiparametric and Nonparametric Methods
This chapter investigates the relationship between interbank funds and efficiencies for the commercial banks operating in Turkey between 2001 and 2006. Data Envelopment Analysis (DEA) is executed to find the efficiency scores of the banks for each year, and fixed effects panel data regression is carried out, with the efficiency scores being the response variable. It is observed that interbank funds (ratio) has negative effects on bank efficiency, while bank capitalization and loan ratio have positive, and profitability has insignificant effects. This chapter serves as novel evidence that interbank funds can have adverse effects in an emerging market.
Aysan, A. F., Ertek, G., Öztürk, S. (2011) “Assessing the Adverse Effects of Interbank Funds on Bank Efficiency Through Using Semiparametric and Nonparametric Methods” in , Financial Services: Efficiency and Risk Management (Studies in Financial Optimization and Risk Management). Eds: Meryem Duygun Fethi, Chrysovalantis Gaganis, Fotios Pasiouras, Constantin Zopounidis. Nova Science Pub Inc.
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Dr. Gürdal Ertek recommends the following related books:
- Financial Services:: Efficiency and Risk Management (Studies in Financial Optimization and Risk Management)
- Introduction to Data Envelopment Analysis and Its Uses: With DEA-Solver Software and References 2006th Edition
Re-mining Positive and Negative Association Mining Results
Positive and negative association mining are well-known and
extensively studied data mining techniques to analyze market basket
data. Efficient algorithms exist to find both types of association, separately or simultaneously. Association mining is performed by operating on the transaction data. Despite being an integral part of the transaction data, the pricing and time information has not been incorporated into market basket analysis so far, and additional attributes have been handled using quantitative association mining. In this paper, a new approach is proposed to incorporate price, time and domain related attributes into data mining by re-mining the association mining results. The underlying factors behind positive and negative relationships, as indicated by the association rules, are characterized and described through the second data mining stage re-mining. The applicability of the methodology is demonstrated by analyzing data coming from apparel retailing industry, where price markdown is an essential tool for promoting sales and generating increased revenue.
Demiriz, A., Ertek, G., Atan, T., and Kula, U. (2010) “Re-mining Positive and Negative AssociationMining Results” P. Perner (Ed.): Advances in Data Mining. Applications and Theoretical Aspects, 10th Industrial Conference, ICDM 2010, Berlin, Germany, July 12-14, 2010. Proceedings. LNAI 6171, pp. 101–114.
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Re-mining Positive and Negative Association Mining Results
Dr. Gürdal Ertek recommends the following related books:
- Data Mining and Analysis: Fundamental Concepts and Algorithms 1st Edition
- Post-mining of Association Rules: Techniques for Effective Knowledge Extraction 1st Edition
A New Network Flow Model for Determining the Assortment of Roll Types in Packaging Industry
This paper reports work motivated by a real world assortment problem in packaging industry. A novel network flow model has been developed to solve the problem of selecting the optimal set of roll types for use in production. The model can incorporate fixed costs that depend on the number of elements in the assortment as well as the selected roll types. While the trade-off between inventory cost and cost of waste is resolved optimally through the model, graphical
understanding of the trade-off can bring insights into the decision making process. This graphical analysis has been demonstrated on a computational example.
Tombuş, O., Ertek, G., Atay, C., Kökten, G., and Tombuş, A.C. (2010) “A New Network Flow Model for Determining the Assortment of Roll Types in Packaging Industry.” IEEE International Conference on Systems, Man, Cybernetics. October 10-13, 2010, Istanbul, Turkey.
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A New Network Flow Model for Determining the Assortment of Roll Types in Packaging Industry
Dr. Gürdal Ertek recommends the following related books:
Network Flows: Theory, Algorithms, and Applications 1st Edition
Linear Programming and Network Flows, 4th Edition
Financial Benchmarking of Transportation Companies in the New York Stock Exchange (NYSE) Through Data Envelopment Analysis (DEA) and Visualization
In this paper, we present a benchmarking study of industrial transportation companies traded in the New York Stock Exchange (NYSE). There are two distinguishing aspects of our study: First, instead of using operational data for the input and the output items of the developed Data Envelopment Analysis (DEA) model, we use financial data of the companies that are readily available on the Internet. Secondly, we visualize the efficiency scores of the companies in relation to the subsectors and the number of employees. These visualizations enable us to discover interesting insights about the companies within each subsector, and about subsectors in comparison to each other. The visualization approach that we employ can be used in any DEA study that contains subgroups within a group. Thus, our paper also contains a methodological contribution.
Ulus, F., Kose, O, Ertek, G. and Sen, S. (2006). “Financial benchmarking of transportation companies in the New York Stock Exchange (NYSE) through data envelopment analysis (DEA) and visualization.” 4th International Logistics and Supply Chain Congress, İzmir, Turkey.
Note: This is the final draft version of this paper. Please cite this paper (or this final draft) as above.
Dr. Gürdal Ertek recommends the following related books:
Business Ratios and Formulas: A Comprehensive Guide Hardcover – April 3, 2012
DEA-Based Benchmarking Models in Supply Chain Management: An Application-Oriented Literature Review
Data Envelopment Analysis (DEA) is a mathematical methodology for benchmarking a group of entities in a group. The inputs of a DEA model are the resources that the entity consumes, and the outputs of the outputs are the desired outcomes generated by the entity, by using the inputs. DEA returns important benchmarking metrics, including efficiency score, reference set, and projections. While DEA has been extensively applied in supply chain management (SCM) as well as a diverse range of other fields, it is not clear what has been done in the literature in the past, especially given the domain, the model details, and the country of application. Also, it is not clear what would be an acceptable number of DMUs in comparison to existing research. This paper follows a recipe-based approach, listing the main characteristics of the DEA models for supply chain management. This way, practitioners in the field can build their own models without having to perform the detailed literature search. Further guidelines are also provided in the paper for practitioners, regarding the application of DEA in SCM benchmarking.
Ertek, G., Akyurt, N., Tillem, G., 2012, “Dea-based benchmarking models in supply chain management: an application-oriented literature review”, X. International Logistics and Supply Chain Congress 2012, November 8-9, Istanbul, Turkey.
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Dea-based Benchmarking Models In Supply Chain Management: An Application-oriented Literature Review
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Dr. Gürdal Ertek recommends the following related books:
- Introduction to Data Envelopment Analysis and Its Uses: With DEA-Solver Software and References 2006th Edition
- Supply Chain Management (5th Edition) 5th Edition
Optimizing Waste Collection in an Organized Industrial Region: A Case Study
In this paper we present a case study which involves the design of a supply chain network for industrial waste collection. The problem is to transport metal waste from 17 factories to containers and from containers to a disposal center (DC) at an organized region of automobile parts suppliers. We applied the classic mixed-integer programming (MIP) model for the two-stage supply chain to the solution of this problem. The visualization of the optimal solution provided us with several interesting insights that would not be easily discovered otherwise.
Martagan, T. G., Ertek, G., Birbil, S. I., Yasar, M., Cakır, A., Okur, N., Gullu, G., Hacıoglu, A. and Sevim, O. (2006). “Optimizing waste collection in an organized industrial region: A case study.” 4th International Logistics and Supply Chain Congress, İzmir, Turkey.
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Optimizing Waste Collection in an Organized Industrial Region: A Case Study
Dr. Gürdal Ertek recommends the following related books:
Facility Layout and Location: An Analytical Approach (2nd Edition) 2nd Edition
Designing and Managing the Supply Chain 3e with Student CD 3rd Edition
A Framework for Visualizing Association Mining Results
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Association mining is one of the most used data mining techniques due to interpretable and actionable results. In this study we propose a framework to visualize the association mining results, specifically frequent item sets and association rules, as graphs. We demonstrate the applicability and usefulness of our approach through a Market Basket Analysis (MBA) case study where we visually explore the data mining results for a supermarket data set. In this case study we derive several interesting insights regarding the relationships among the items and suggest how they can be used as basis for decision making in retailing.
Ertek, G. and Demiriz, A. (2006). “A framework for visualizing association mining results.” Lecture Notes in Computer Science, vol: 4263, pp. 593-602.
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Dr. Gürdal Ertek recommends the following related books:
Analyzing Social Media Networks with NodeXL
Data Mining Concepts and Techniques
Post-Mining of Association Rules
Application of the Analytic Hierarchy Process (AHP) for Selection of Forecasting Software
In this paper, we described an application of the Analytic Hierarchy Process (AHP) for the ranking and selection of forecasting software. AHP is a multi-criteria decision making (MCDM) approach, which is based on the pair-wise comparison of elements of a given set with respect to multiple criteria. Even though there are applications of the AHP to software selection problems, we have not encountered a study that involves forecasting software. We started our analysis by filtering among forecasting software that were found on the Internet by undergraduate students as a part of a course project. Then we processed a second filtering step, where we reduced the number of software to be examined even further. Finally we constructed the comparison matrices based upon the evaluations of three “semi-experts”, and obtained a ranking of forecasting software of the selected software using the Expert Choice software. We report our findings and our insights, together with the results of a sensitivity analysis.
Pekin, A., Ozkan, G., Eski, O., Karaarslan, U., Ertek, G. and Kilic, K. (2006). “Application of the analytic hierarchy process (AHP) for selection of forecasting software.” 5th International Symposium on Intelligent Manufacturing Systems, Sakarya, Turkey.
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Application of the Analytic Hierarchy Process (AHP) for Selection of Forecasting Software
Dr. Gürdal Ertek recommends the following related books:
The Hierarchon: A Dictionary of Hierarchies (Analytic Hierarchy Process, Vol 5)
Decision Support For Packing In Warehouses
Packing problems deal with loading of a set of items (objects) into a set of boxes (containers) in order to optimize a performance criterion under various constraints. With the advance of RFID technologies and investments in IT infrastructures companies now have access to the necessary data that can be utilized in cost reduction of packing processes. Therefore bin packing and container loading problems are becoming more popular in recent years. In this research we propose a beam search algorithm to solve a packing problem that we encountered in a real world project. The 3D-MBSBPP (Multiple Bin Sized Bin Packing Problem) that we present and solve has not been analyzed in literature before, to the best of our knowledge. We present the performance of our proposed beam search algorithm in terms of both cost and computational time in comparison to a greedy algorithm and a tree search enumeration algorithm.
Ertek, G. and Kilic, P. (2006). “Decision support for packing in warehouses.” Lecture Notes in Computer Science, vol: 4263, pp. 115-124.
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Decision Support For Packing In Warehouses
Dr. Gürdal Ertek recommends the following related books:
Introduction to Algorithms, 3rd Edition (MIT Press) 3rd Edition
World-Class Warehousing and Material Handling 1st Edition
How to Solve It: Modern Heuristics Enlarged 2nd Edition
Spreadsheet Optimization of Flow for WIP Goods at a Yarn and Tire Cord Manufacturer: A Case Study
We developed a spreadsheet optimization model to find the optimal material handling policy at a leading yarn and tire cord manufacturer’s facility. The focus of the study is to optimize the movement of looms of yarn and tire cord between two major manufacturing steps. The considered flow network within the manufacturing facility is a miniature two-stage supply chain, including the middle layer of depots. Movement of material takes place through forklift trucks and cranes, which impose electricity, labor, maintenance, and depreciation costs. After introducing the company, the facility, and the project goals, we present the underlying linear programming (LP) model and our spreadsheet implementation. The results of our model suggest an annual saving of approximately $22,000 for the facility.
Mataraci, B. and Ertek, G. (2006). “Spreadsheet optimization of flow for WIP goods at a yarn and tire cord manfacturer: A case study.” 5th International Symposium on Intelligent Manufacturing Systems, Sakarya, Turkey.
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Spreadsheet Optimization of Flow for WIP Goods at a Yarn and Tire Cord Manufacturer: A Case Study
Dr. Gürdal Ertek recommends the following related books:
Network Flows: Theory, Algorithms, and Applications 1st Edition
Development of an Interactive Simulation of Steel Cord Manufacturing for Industrial Engineering Education
We developed an interactive simulation program to be used in industrial engineering education, based on an earlier simulation study of a steel cord manufacturing plant. In the class project, the students are asked to design strategies/algorithms for finding the optimal values of operational decision variables by using the program.
Saka, B., Ertek, G. and Turkseven, C. H. (2006). “Development of an interactive simulation of steel cord manufacturing for industrial engineering education.” 5th International Symposium on Intelligent Manufacturing Systems, Sakarya, Turkey.
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Dr. Gürdal Ertek recommends the following related books:
Discrete-Event System Simulation (5th Edition)
Application of the Cutting Stock Problem to a Construction Company: A Case Study
This paper presents an application of the well-known cutting stock problem to a construction firm. The goal of the 1Dimensional (1D) cutting stock problem is to cut the bars of desired lengths in required quantities from longer bars of given length. The company for which we carried out this study encounters 1D cutting stock problem in cutting steel bars (reinforcement bars) for its construction projects. We have developed several solution approaches to solving the company’s problem: Building and solving an integer programming (IP) model in a modeling environment, developing our own software that uses a mixed integer programming (MIP) software library, and testing some of the commercial software packages available on the internet. In this paper, we summarize our experiences with all the three approaches. We also present a benchmark of existing commercial software packages, and some critical insights. Finally, we suggest a visual approach for increasing performance in solving the cutting stock problem and demonstrate the applicability of this approach using the company’s data on two construction projects.
Alp, S., Ertek, G. and Birbil, S. I. (2006). “Application of the cutting stock problem to a construction company: A case study.” 5th International Symposium on Intelligent Manufacturing Systems, Sakarya, Turkey.
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Application of the Cutting Stock Problem to a Construction Company: A Case Study
Dr. Gürdal Ertek recommends the following related books:
Operations Research: An Introduction (9th Edition) 9th Edition
Optimization in Operations Research 1st Edition
Application of Local Search Methods for Solving a Quadratic Assignment Problem: A Case Study
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This paper discusses the design and application of local search methods to a real-life application at a steel cord manufacturing plant. The case study involves a layout problem that can be represented as a Quadratic Assignment Problem (QAP). Due to the nature of the manufacturing process, certain machinery need to be allocated in close proximity to each other. This issue is incorporated into the objective function through assigning high penalty costs to the unfavorable allocations. QAP belongs to one of the most difficult class of combinatorial optimization problems, and is not solvable to optimality as the number of facilities increases. We implement the well-known local search methods, 2-opt, 3-opt and tabu search. We compare the solution performances of the methods to the results obtained from the NEOS server, which provides free access to many optimization solvers on the internet.
Ertek, G., Aksu, B., Birbil, S. E., İkikat, M. C., Yıldırmaz, C (2005). “Application of local search methods for solving a quadratic assignment problem: A case study”, Proceedings of Computers and Industrial Engineering Conference, 2005
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Dr. Gürdal Ertek recommends the following related books:
Optimization in Operations Research
A Tutorial on Crossdocking
In crossdocking, the inbound materials coming in trucks to the crossdock facility are directed to outbound doors and are directly loaded into trucks that will perform shipment, or are staged for a very brief time period before loading. Crossdocking has a great potential to bring savings in logistics: For example, most of the logistics success of Wal-Mart, the world’s leading retailer, is attributed to crossdocking.In this paper,the types of crossdocking are identified, the situations and industries where crossdocking is applicable are explained, prerequisites, advantages and drawbacks are listed, and implementation issues are discussed. Finally a case study that describes the crossdocking applications of a 3rd party logistics firm is presented.
Ertek, G. (2005). “A tutorial on crossdocking”, Proceedings of 3rd International Logistics & Supply Chain Congress, Istanbul, Turkey.
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ertek_logistics2005
Dr. Gürdal Ertek recommends the following related books:
World-class Warehousing and Material Handling
Visual and Analytical Mining of Sales Transaction Data for Production Planning and Marketing
Recent developments in information technology paved the way for the collection of large amounts of data pertaining to various aspects of an enterprise. The greatest challenge faced in processing these massive amounts of raw data gathered turns out to be the effective management of data with the ultimate purpose of deriving necessary and meaningful information out of it. The following paper presents an attempt to illustrate the combination of visual and analytical data mining techniques for planning of marketing and production activities. The primary phases of the proposed framework consist of filtering, clustering and comparison steps implemented using interactive pie charts, K-Means algorithm and parallel coordinate plots respectively. A prototype decision support system is developed and a sample analysis session is conducted to demonstrate the applicability of the framework.
Ertek, G., Kuruca, C., Aydin, C., Erel, B.F., Dogan, H., Duman, M., Ocal, M., and Ok, Z.D. (2004). “Visual and analytical mining of sales transaction data for production planning and marketing.” 4th International Symposium on Intelligent Manufacturing Systems, Sakarya, Turkey.
Note: This is the final draft version of this paper. Please cite this paper (or this final draft) as above.
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Visual and analytical mining of sales transaction data for production planning and marketing
Dr. Gürdal Ertek recommends the following related books:
Information Visualization: Design for Interaction (2nd Edition) 2nd Edition
Simulation Modeling for Quality and Productivity in Steel Cord Manufacturing
We describe the application of simulation modeling to estimate and improve quality and productivity performance of a steel cord manufacturing system. We describe the typical steel cord manufacturing plant, emphasize its distinguishing characteristics, identify various production settings and discuss applicability of simulation as a management decision support tool. Besides presenting the general structure of the developed simulation model, we focus on wire fractures, which can be an important source of system disruption.
Turkseven, C.H., and Ertek, G. (2003). “Simulation modeling for quality and productivity in steel cord manufacturing,” in Chick, S., Sánchez, P., Ferrin,D., and Morrice, D.J. (eds.). Proceedings of 2003 Winter Simulation Conference. Institute of Electrical and Electronics Engineers (IEEE), Piscataway, New Jersey.
Note: This is the final draft version of this paper. Please cite this paper (or this final draft) as above.
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Simulation Modeling For Quality And Productivity In Steel Cord Manufacturing
Dr. Gürdal Ertek recommends the following related books:
Discrete-Event System Simulation (5th Edition) 5th Edition
Supplier and Buyer Driven Channels in a Two-Stage Supply Chain
We explore the impact of power structure on price, sensitivity of market price, and profits in a two-stage supply chain with single product, supplier and buyer, and a price sensitive market. We develop and analyze the case where the supplier has dominant bargaining power and the case where the buyer has dominant bargaining power. We consider a pricing scheme for the buyer that involves both a multiplier and a markup. We show that it is optimal for the buyer to set the markup to zero and use only a multiplier. We also show that the market price and its sensitivity are higher when operational costs (namely distribution and inventory) exist. We observe that the sensitivity of the market price increases non-linearly as the wholesale price increases, and derive a lower bound for it. Through experimental analysis, we show that marginal impact of increasing shipment cost and carrying charge (interest rate) on prices and profits are decreasing in both cases. Finally, we show that there exist problem instances where the buyer may prefer supplier-driven case to markup-only buyer-driven and similarly problem instances where the supplier may prefer markup-only buyer-driven case to supplier-driven.
Ertek, G., and Griffin, P. (2002). “Supplier and buyer driven channels in a two-stage supply chain.” IIE Transactions, 34, 691-700.
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Supplier and Buyer Driven Channels in a Two-Stage Supply Chain
Dr. Gürdal Ertek recommends the following related books:
Game Theory: An Introduction Hardcover – January 6, 2013
Designing and Managing the Supply Chain 3e with Student CD 3rd Edition
Demonstrating Warehousing Concepts Through Interactive Animations
In this paper, we report development of interactive computer animations to demonstrate warehousing concepts, providing a virtual environment for learning. Almost every company, regardless of its industry, holds inventory of goods in its warehouse(s) to respond to customer demand promptly, to coordinate supply and demand, to realize economies of scale in manufacturing or processing, to add value to its products and to reduce response time. Design, analysis, and improvement of warehouse operations can yield significant savings for a company. Warehousing science can be considered as an important field within the industrial engineering discipline. However, there is very little educational material (including web based media), and only a handful of books available in this field. We believe that the animations that we developed will significantly contribute to the understanding of warehousing concepts, and enable tomorrow’s practitioners to grasp the fundamentals of managing warehouses.
Gurarslan, O., Guler, Y. H., Sahin, H., Ertek, G., Ozguven, K., Cacina, S. and Akkas, A. C. (2006). “Demonstrating warehousing concepts through interactive animations.” 5th International Symposium on Intelligent Manufacturing Systems, Sakarya, Turkey.
Note: This is the final draft version of this paper. Please cite this paper (or this final draft) as above.
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Demonstrating Warehousing Concepts Through Interactive Animations
Dr. Gürdal Ertek recommends the following related books:
World-Class Warehousing and Material Handling 1st Edition