Integrated Usage of Fuzzy Multi Criteria Decision Making Techniques for Machine Selection Problems and an Application
Kemal Vatansever, Yiğit Kazançoğlu

Abstract
Enterprises struggled with fluctuations in market conditions and increased uncertainty due to the globalization process. Shorter product life cycles, changing and increased customer expectations and technological developments in particular have affected manufacturing firms. Correspondingly, technological development and machine and equipment selection are major issues that affects firms’ performance and efficiency. In this study, a manufacturing firm’s cutting-machine selection problem is solved using combined fuzzy Analytic Hierarchy Process (AHP) and fuzzy MOORA techniques. The aim of this study is to provide decision support for managers regarding the selection problem. The cutting-machine selection criteria were determined by considering the related literature, and also by consulting the company managers. After that, selected criteria weights were determined by fuzzy AHP and ranking cutting machine alternatives by fuzzy MOORA method. The study makes a recommendation for the most suitable cutting machine for the firm.

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