AI Summary & Key Takeaways
AI InsightAccording 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.
📌 3 Key Takeaways
Abstract
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.