Application of Fuzzy Multi-Criteria Decision Making Methods on Six Sigma Projects Selection

Engin Çakir ()
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Engin Çakir: Department of Business Administration, Adnan Menderes University, Aydýn, Turkey.

Journal of Social and Administrative Sciences, 2017, vol. 4, issue 1, 132-138

Abstract: Six sigma method widely applied in production and service businesses is known as a project-oriented method. In six sigma method, selection of the prior project among others can be considered as a multi -criteria decision making problem. The conducted literature review has revealed that there is a large number of methods to select six sigma projects. It is more appropriate to use fuzzy multi-criteria decision making methods in project selection since evaluation criteria of six sigma projects include uncertainties. The aim of this study is to select the most appropriate project as a result of evaluating the projects by Fuzzy VIKOR, Fuzzy TOPSIS and Fuzzy COPRAS as methods of fuzzy multicriteria decision-making and integrating the ranking scores obtained from each method by Copeland method. The proposed method has been implemented in a large scale production company, operating in Aydýn ASTÝM Organized Industrial Zone.

Keywords: Six Sigma Projects; Fuzzy VIKOR; Fuzzy TOPSIS; Fuzzy COPRAS; Fuzzy AHP; Copeland Method. (search for similar items in EconPapers)
JEL-codes: C02 C44 D70 L20 M11 O22 (search for similar items in EconPapers)
Date: 2017
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