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

Engin Çakır () and Muhsin Özdemir ()
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Engin Çakır: Adnan Menderes University
Muhsin Özdemir: Adnan Menderes University

Business and Economics Research Journal, 2016, vol. 7, issue 2, 167-201

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 multi-criteria 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 Aydın ASTİM 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: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:ris:buecrj:0230

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