Department of Industrial Engineering, Book / Book chapter

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Publication (18)

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Tural, Mustafa Kemal (3)
Batun, Sakine (2)
Dinler, Derya (2)
İyigün, Cem (2)

Anatolian region (1)
Climate zone (1)
Discrete‐time Markov chain (1)
Discrete‐time process (1)
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1990 - 1999 (1)
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2010 - 2019 (14)

Recent Submissions

Vision and strategic planning of university governance: the case of Middle East Technical University
Köksal, Gülser; İlkuçan, Altan (IGI Global, 2019-01-01)
This chapter describes the participative and iterative strategic planning process that was used in Middle East Technical University (METU), as a “good practice” for other institutions of higher education in twomajor stages...
Performing Turkish design in products, collections and exhibitions: expanding the archive, seeking depth
Kaygan, Harun (Bloomsbury Visual Arts, 2019-01-01)
Featuring a great range of international case studies, looking at everything from the function of a Danish clothing company, to the evolution of New Zealand's resource-based economy, Design Culture interrogates what this e...
Assigning Regions to Sales Representatives at Pfizer Turkey
Batun, Sakine (Springer, London/Berlin , 2019-01-01)
Maritime Search and Rescue (MSAR) Operations: An Analysis of Optimal Asset Allocation
Akbayrak, Erhan; Tural, Mustafa Kemal (null, 2017-01-01)
Managing sea rescue assets and their distribution in the various search and rescue (SAR) locations should be carried out according to some well-defined criteria in order to cover SAR areas of the world properly. In this ch...
Managing the Chemicals and Substances in Products and Supply Chains
Kraft, Tim; Karaer, Özgen; Sharpe, Kathryn (2016-07-01)
This chapter explores the challenges that companies face in managing the chemicals and substances found in their products and supply chains. The topic is presented from both a practice and an academic perspective. Based on...
A Survey of Constrained Clustering
Dinler, Derya; Tural, Mustafa Kemal (Springer-Verlag, 2016-04-01)
Traditional data mining methods for clustering only use unlabeled data objects as input. The aim of such methods is to find a partition of these unlabeled data objects in order to discover the underlying structure of the d...
A Survey of constrained clustering
Dinler, Derya; Tural, Mustafa Kemal (Springer International Publishing, 2016-01-01)
Location Problems with Demand Regions
Humanitarian Logistics: Advanced Purchasing and Pre-Positioning of Relief Items
Duran, Serhan; Ergun, Özlem; Keskinocak, Pınar; Swann, Julie L (Springer, 2013-01-01)
Optimization in Healthcare Delivery Modeling: Methods and Applications
Batun, Sakine (Springer, London/Berlin , 2013-01-01)
Determining the Climate Zones of Turkey by Center-Based Clustering Methods
Fahmi, Fidan ; Kartal, Elçin ; İyigün, Cem ; Türkeş, Murat; Batmaz, İnci ; Yozgatlıgil, Ceylan; Purutçuoğlu Gazi, Vilda ; Köksal, Gülser (Springer, 2011-01-01)
There is a growing evidence that the climate change has already had significant impacts on the world’s physical, biological, and human systems, and it is expected that these impacts will become more severe in the near futu...
Markov Regenerative Processes
Markov regenerative processes are continuous‐time stochastic processes with more general conditions of regeneration than regenerative processes. The limiting behavior of some queues with general distributions can be obtain...
Basis Reduction Methods
Pataki, Gábor ; Tural, Mustafa Kemal (John Wiley and Sons, 2011-01-01)
We review lattice based methods to solve integer programming feasibility problems, in particular, the algorithms of Lenstra, and Kannan, and the reformulation methods of Aardal, et al. and of Krishnamoorthy and Pataki. The...
Semi‐Markov Processes
SERİN, YAŞAR YASEMİN (null, 2010-01-01)
A semi‐Markov process is a generalization of continuous‐time Markov chain, so that the sojourn times come from general distributions. In this article, after some basic definitions, some results related to the transient and...
Probabilistic Distance Clustering: Algorithm and Applications
İyigün, Cem; Ben-Israel, Adi (World Scientific , 2009-02-01)
The probabilistic distance clustering method of the authors [2, 8], assumes the cluster membership probabilities given in terms of the distances of the data points from the cluster centers, and the cluster sizes. A resulti...
Recent Advances in Optimization Models for Data Mining: Clustering, Feature Selection and Classification
Fan, Y-J; İyigün, Cem; Chaovalitwongse , W. A. (American Mathematical Society, 2008-09-01)
Data mining aims at finding interesting, useful or profitable information in very large databases. The enormous increase in the size of available scientific and commercial databases (data avalanche) as well as the continui...
Capacitated Two-Echelon Inventory Models for Repairable Item Systems
AVŞAR, ZEYNEP MÜGE; ZIJM, HENK (Springer US, 2003-05-01)
ERKIP, N (1990-01-05)
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