For most companies that aim at delivering the best possible quality product from the right place to the right place, choosing the right warehouse location is very important for operational success. It is of great importance to make a right and future-oriented decision about a new warehouse location, as companies' decision to make the right position is becoming more and more ambiguous in the global business environment. Therefore, choosing the right warehouse location is one of the main problems in the development of a successful supply chain system. In this study, it is aimed to present the multi-criteria decision making (MCDM) method, which is expanded by the interval type-2 fuzzy sets to select the appropriate warehouse location. The proposed approach includes the AHP and TOPSIS methods under the interval type-2 fuzzy environment to overcome the uncertainty in the judgment and statements of the experts in decision-making. Fuzzy AHP is used to determine the weight of criteria determined by experts in the selection of warehouses; then the TOPSIS method is used to obtain the ranking of alternative depots with spacing type-2 trapezoidal fuzzy numbers. To show the proposed application of the methodology, a study is carried out using real data for companies wishing to open a new store in Turkey.
For most companies that aim to deliver the best possible quality product from the right place to the right place, choosing the right warehouse location is very important for operational success. It is of great importance to make a right and future-oriented decision about a new warehouse location, as companies’ decision to make the right position is becoming more and more ambiguous in the global business environment. Therefore, choosing the right warehouse location is one of the main problems in the development of a successful supply chain system. In this study, it is aimed to present the multi-criteria decision making (MCDM) method, which is expanded by the interval type-2 fuzzy sets to select the appropriate warehouse location. The proposed approach includes the AHP and TOPSIS methods under the interval type-2 fuzzy environment to overcome the uncertainty in the judgment and statements of the experts in decision-making. Fuzzy AHP is used to determine the weight of criteria determined by experts in the selection of warehouses; then the TOPSIS method is used to obtain the ranking of alternative warehouses with spacing type-2 trapezoidal fuzzy numbers. To show the proposed application of the methodology, a study is carried out using real data for companies wishing to open a new store in Turkey.
Alan : Sosyal, Beşeri ve İdari Bilimler
Dergi Türü : Uluslararası
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