Using fuzzy multi criteria desicion making methods in suplier performance evulation and a study in the textile industry
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Abstract (EN)
Although textile industryis a labor- intensive industry where the competition is constantly increasing, it is also among the important industries for developing countries such as Turkey. In order to cope with the increasing competiton, measuring and developing the performance of the suppliers as well as as the performance of companies has become increasingly important.In this study, it is aimed to group the performance evaluations of the suppliers producing different products of a company serving in the textile sector by using fuzzy multi-criteria desicion making methods, whitin the scope of study Fuzzy AHP and Fuzzy TOPSIS methods, which are the most frequently used in the literatüre and have long processing steps, and Fuzzy ARAS and Fuzzy MOORA methods, which have relatively short processing steps , were used to evaluate the performance of suppliers from which a company serving in the textile industry purchased 15 different products. In this study conducted with 4 desicion makers who are experts in their fields, the results of each method were examined and supplier were divided into 5 groups using cluster analysis.
Author
Burçin Oral
Institution
How to Cite
Burçin Oral (Master Thesis). Using fuzzy multi criteria desicion making methods in suplier performance evulation and a study in the textile industry, 2022, Tekirdağ Namık Kemal University.
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