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

A. Ulutaş
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引用次数: 5

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.
应用模糊SWARA和模糊ARAS方法求解供应商选择问题
由于供应商的绩效直接或间接地影响到与之合作的公司的绩效,因此与最合适的供应商合作已成为公司成功的关键。在解决供应商选择问题时,需要考虑许多不同的标准,包括定性标准和定量标准。因此,供应商选择问题被认为是一个MCDM问题。这些标准可能包括不确定和不精确的数据。此外,在供应商选择问题中考虑了许多管理者的判断。因此,在本章中,提出了一种包含fuzzy SWARA(逐步权重评价比率分析)和fuzzy ARAS(加性比率评价)的模糊群集成模型来选择最佳供应商。这一研究有助于现有的文献,因为这两种方法在过去没有被用来共同解决任何问题。该模型应用于一家土耳其纺织企业。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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