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Using of Fuzzy SWARA and Fuzzy ARAS Methods to Solve Supplier Selection Problem

Using of Fuzzy SWARA and Fuzzy ARAS Methods to Solve Supplier Selection Problem
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Author(s): Alptekin Ulutas (Cumhuriyet University, Turkey)
Copyright: 2020
Pages: 13
Source title: Theoretical and Applied Mathematics in International Business
Source Author(s)/Editor(s): Bryan Christiansen (Global Research Society, USA)and Fatima Shuwaikh (Université Paris Saclay, France)
DOI: 10.4018/978-1-5225-8458-2.ch008

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Abstract

As the performance of suppliers directly or indirectly affects the performance of the companies with which they engage, working with the most suitable supplier has become the key to success for companies. When solving the supplier selection problem, many different criteria involving qualitative and quantitative criteria are considered. Therefore, the supplier selection problem is considered an MCDM problem. These criteria can include uncertain and imprecise data. Additionally, the judgments of many managers are considered in supplier selection problems. Thus, in this chapter, a fuzzy group integrated model including Fuzzy SWARA (step-wise weight assessment ratio analysis) and Fuzzy ARAS (additive ratio assessment) is proposed to select the best supplier. This study contributes to the extant literature since these two methods were not used in the past to solve any problems together. The proposed model is applied to a Turkish textile company.

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