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Öğe Democratization of University Management for Quality Higher Education(Elsevier Science Bv, 2012) Sen, Asim; Kabak, Kamil Erkan; Tuysuz, Fatih; Kuzalic, DilekThe objective of this paper is to provide some insights for developing a high quality university through democratizing the contemporary university management practices. The high quality university has often the quality academic programs, quality teaching faculty members, and quality students for establishing high educational standards. The faculty of high quality universities engages in high quality research and produce high quality and quantity of new knowledge and publications. The graduates of high quality universities usually obtain high quality professional positions. They also generate the necessary physical and financial resources and endowments for supporting themselves. Those universities that develop these quality characteristics offer a high quality education. Democratization of the university management practices plays a key role for a university to develop a high quality education and become a high quality university. In this study, democratization process includes the ownership, the practice of sharing the authority and responsibility, group decision-making, horizontal network organizational structure and long term employment practices of university management. Those universities utilizing these practices together and acting collectively as a team are able to achieve a high quality education and become a high quality university. Democratization process will also help stakeholders of the university to establish close cooperation and relations with public and private institutions for financing the university. (C) 2012 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of the 8th International Strategic Management ConferenceÖğe Fuzzy Location Selection Techniques(Springer-Verlag Berlin, 2010) Kahraman, Cengiz; Cebi, Selcuk; Tuysuz, FatihFacility location has an important role in terms of firms' strategic planning in the management science and operational research. One of the most common facility location problems is the location selection problem which is the most ancient but has been still a current problem for organizations. Plants, warehouses, retail outlets, terminals, storage yards, distribution centers etc. are typical facilities that must be located strategically since the location selection problem influences organizations' strategic competitive position in terms of operating cost, transportation cost, delivery speed performance, and organization's flexibility to compete in the marketplace. In this chapter, different approaches and techniques used in location selection problems are presented. In the scope of this chapter, we focus on the fuzzy multi-criteria decision making methods. Especially, in the literature, fuzzy AHP and fuzzy TOPSIS are presented since they are the most widely used ones. Furthermore, it is the first time a framework based on the fuzzy information axiom is proposed for facility location selection.Öğe Fuzzy Real Option Value Integrated Fuzzy ANP Method for Location Selection Problems(IEEE, 2010) Tolga, A. Cagri; Tuysuz, Fatih; Kahraman, CengizLocation selection decisions are irreversible for any type of enterprise. Making the right choice is vital. In this work, at the beginning, criteria for location selection in retail sector are determined. Then because of the dependency among criteria we choose ANP method as multi-criteria decision aid. The data are ambiguous and the nature of the problem is dynamic, hence fuzzy ANP is preferred. As the measurement technique of the financial criterion, we used the fuzzy real option value that calculates the risky side of the problem. Fuzzy trinomial lattice method without any future competitor is offered as the solution procedure for fuzzy real option value through its impact on efficiency and accuracy.Öğe Modeling a flexible manufacturing cell using stochastic Petri nets with fuzzy parameters(Pergamon-Elsevier Science Ltd, 2010) Tuysuz, Fatih; Kahraman, CengizIn this paper, an approach for modeling and analysis of time critical, dynamic and complex systems using stochastic Petri nets together with fuzzy sets is presented. The presented method consists of two stages. The first stage is same as the conventional stochastic Petri nets with the difference that the steady-state probabilities are obtained parametrically in terms of transition firing rates. In the second stage, the transition firing rates are described by triangular fuzzy numbers and then by applying fuzzy mathematics, the fuzzy steady-state probabilities are calculated. A numerical example for modeling and analysis of a flexible manufacturing cell is given to show the applicability of proposed method. The importance of the proposed approach is that it can take into consideration both dimensions of uncertainty in system modeling, stochastic variability and imprecision. (C) 2009 Elsevier Ltd. All rights reserved.Öğe Service Location Selection after Natural Disasters Using a Possibilistic Approach(Atlantis Press, 2011) Tuysuz, Fatih; Tolga, A. CagriPlanning service facility locations before sudden happening of any disaster is vital for public organizations. Selection decision for cookhouse or infirmaries is very important because of agitated situation of disaster times. In this paper, through the resemblance of selection decision for service facility locations to retailing sector, a gravity based model is offered. Attractiveness of service location and distance between demand points and the service facility are key factors in location selection of service facilities. Due to the lack of data and imprecision of estimated parameters which cause uncertainty, fuzzy logic is utilized. Instead of probabilistic value, possibilistic values as a result of using fuzzy parameters are obtained in the proposed gravity model.
