International Journal of Business and Social Science Vol. 5, No. 9(1); August 2014 12 Integrated Usage of Fuzzy Multi Criteria Decision Making Techniques for Machine Selection Problems and an Application Kemal Vatansever Asst. Prof. Dr. Pamukkale University Department of Capital Markets Applied Science School Turkey Yiğit Kazançoğlu Assoc. Prof. Dr. Izmir University of Economics Dept. of Business Administration Turkey 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. Keywords: Multicriteria Decision Making, Fuzzy-AHP, Fuzzy-MOORA, Machine Selection 1- Introduction For all enterprises, market conditions have significantly changed with the globalization process. Shorter product life cycles, increased competition, changed customer expectations, increased technological developments, increased product diversification and differentiation, changed political conditions affect markets and put pressure on enterprises. The manufacturing industry is presently being affected by the structural changes caused by factors both internal and external to enterprises. The market conditions are becoming more dynamic, more global and more customer driven and manufacturing performance is no longer driven by the product price; instead other competitive factors, such as flexibility, quality, delivery and customer service have become equally important (Chan and Swarnkar, 2006). Success is related with efficient and effective resource usage, in this change and transformation process. One of the most frequent problems facing companies is the selection of the most appropriate machine tool for the product in question, and the individual characteristics of the enterprise (Alberti et. al., 2011). The machine selection process has become very important issue for companies, because improper selection of a machine tool can negatively affect productivity, precision, flexibility and company’s responsive manufacturing capabilities. These problems can negatively affect the overall performance of a production system. The speed, quality and cost of manufacturing largely depend on the type of the machine tool used (Arslan et. al. 2004; Ayağ and Özdemir, 2006).