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

 

 

 

 

 

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.

Ertek, G., Chi, X., Zhang, A. N., & Asian, S. (2017, December). Text mining analysis of wind turbine accidents: An ontology-based framework. In Big Data (Big Data), 2017 IEEE International Conference on (pp. 3233-3241). IEEE.

The published paper can be accessed from the following url:
http://ieeexplore.ieee.org/document/8258305/

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Dr. Gürdal Ertek recommends the following related books:

Essentials of Business Analytics

Information Visualization: An Introduction by Robert Spence (2014-11-04) 

Wind Energy Explained: Theory, Design and Application

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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:

Ertek, G., Chi, X., & Zhang, A. N. (2017). A Framework for Mining RFID Data From Schedule-Based Systems. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 47(11), 2967-2984. DOI: 10.1109/TSMC.2016.2557762

Dr. Gürdal Ertek recommends the following related books:

Essentials of Business Analytics

Information Visualization: An Introduction by Robert Spence (2014-11-04) 

 

 

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

 

 

 

 

 

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)

 

 

 

 

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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.

Lu, D., Ertek, G., (2015) “Perception gap and its impact on supply chain performance”, Int. J. Business Performance and Supply Chain Modelling, Vol. 7, No. 2, 122-140.

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) 

 

 

 

 

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.

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Competitiveness of Top 100 U.S. Universities: A Benchmark Study Using Data Envelopment Analysis (DEA) and Information Visualization

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

 

 

 

 

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.

Lu, D., Ertek, G., Betts, A. (2014) “Modelling the supply chain perception gaps”. The International Journal of Advanced Manufacturing Technology, 71(1-4), 731-751.

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

 

 

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.

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Industrial Benchmarking through Information Visualization and Data Envelopment Analysis: A New Framework

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

 

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)