Abstract:

In today's business world, where the competition is intense, companies have to keep their supply chain performance strong by focusing on the optimization of logistics systems in order to survive and develop. Warehouses have a great strategic importance for a supply chain network in the local or global market. Supply chains compete with each other over product delivery time and overall product costs. Warehouse location is the most important factor determining the efficiency and speed of the supply chain network. For this reason, warehouse location selection is an important investment decision for a company. This selection can also be considered as a multi-criteria decision problem that includes both quantitative and qualitative criteria. As the expressions used by the decision makers in the selection of a strategic warehouse location to evaluate the criteria may contain uncertainty, the problem can be considered in the fuzzy environment and a decision support model can be proposed to find the best alternative. In our study, as a novel approach, the fuzzy WASPAS method which is a fuzzy multi-criteria decision making method frequently used, is extended to intuitionistic fuzzy sets and applied to the selection of the most appropriate warehouse location among five options for a textile company, considering five criteria determined by decision-makers' suggestions and the literature review.

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