To select the
right supplier in supply chain is of great importance in terms of firms. Because,
when the supplier is a piece of a well-organized supply chain, this
relationship may affect the competition power across the entire supply chain. Supplier
selection is so difficult and critical process that it requires to evaluate
many factors such as quality, delivery
time, cost, technology, payment due, flexibility and corporate reputation.
Decision makers must consider these factors to select ideal suppliers. At this
point, multi-criteria decision making (MCDM) methods help decision makers to
solve supplier selection problems. In this paper, considering the fuzziness in
group decision making process, fuzzy set theory is used to deal with supplier
selection problem of a textile manufacturing firm in Denizli. The ratings and
weights of the criteria are expressed by linguistic variables. According to the
proposed method fuzzy Technique for Order Preference by Similarity to Ideal
Solution (TOPSIS), a closeness coefficient is calculated for obtaining
supplier performance rankings.
Supplier Selection Supply Chain Fuzzy TOPSIS Method Linguistic Variables Multi-Criteria Decision Making Methods
Primary Language | English |
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Subjects | Wearable Materials |
Journal Section | Articles |
Authors | |
Publication Date | December 31, 2019 |
Submission Date | April 10, 2019 |
Acceptance Date | August 2, 2019 |
Published in Issue | Year 2019 Volume: 29 Issue: 4 |