Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/9767
Title: UTA method for the consulting firm selection problem
Authors: Tuş Işık, Ayşegül
Aytaç Adalı, Esra
Keywords: Consulting firm selection problem
Multi Criteria Decision Making (MCDM)
UTility Additive (UTA) method
Life cycle
Linear programming
Competitive environment
Demand fluctuations
Linear programming models
Multi-criteria decision making
Operational decisions
Selection criteria
Selection problems
Utility additive (UTA) method
Decision making
Publisher: Eastern Macedonia and Thrace Institute of Technology
Abstract: The market conditions change due to the introduction of new products, unforseen demand fluctuations, rapid change of the life cycle of products and profit margins. Therefore, companies try to survive in a competitive environment by making their operational decisions strategically and systematically. Selection problems play an important role among these decisions. In the literature there are many robust MCDM (Multi Criteria Decision Making) methods that consider the conflicting selection criteria and alternatives. In this paper the consulting firm selection problem is solved with UTA (UTility Additive) method which is one of the MCDM methods. This method considers preference of the decision makers on alternatives and uses linear programming model to obtain a utility function having a minimum deviation from the preferences. In order to illustrate the efficiency and effectiveness of the method, a real case study is presented.
URI: https://hdl.handle.net/11499/9767
ISSN: 1791-9320
Appears in Collections:İktisadi ve İdari Bilimler Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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