Fuzzy best–worst method–based approach for warehouse location selection and a case study in Izmir
Kybernetes, vol.54, no.8, pp.4138-4161, 2025 (SCI-Expanded, Scopus)
- Publication Type: Article / Article
- Volume: 54 Issue: 8
- Publication Date: 2025
- Doi Number: 10.1108/k-06-2023-0941
- Journal Name: Kybernetes
- Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Aerospace Database, Applied Science & Technology Source, BIOSIS, Communication Abstracts, Compendex, Computer & Applied Sciences, INSPEC, Metadex, zbMATH, Civil Engineering Abstracts
- Page Numbers: pp.4138-4161
- Keywords: Decision-making, Supply chain management, Optimization techniques, Fuzzy logic, Warehouse location selection
- Dokuz Eylül University Affiliated: Yes
Abstract
Purpose: The study aims to propose a decision-support system to determine the location of a regional disaster logistics warehouse. Emphasizing the importance of disaster logistics, it considers the criteria to be evaluated for warehouse location selection. It is aimed to determine a warehouse location that will serve the disaster victims most efficiently in case of a disaster by making an application for the province of Izmir, where a massive earthquake hit in 2020. Design/methodology/approach: The paper proposes a fuzzy best–worst method to evaluate the alternative locations for the warehouse. The method considers the linguistic evaluations of the decision-makers and provides an advantage in terms of comparison consistency. The alternatives were identified through interviews and discussions with a group of experts in the fields of humanitarian aid and disaster relief operations. The group consists of academics and a vice-governor, who had worked in Izmir. The results of a previously conducted questionnaire were also used in determining these locations. Findings: It is shown how the method will be applied to this problem, and the most effective location for the disaster logistics warehouse in Izmir has been determined. Originality/value: This study contributes to disaster preparedness and brings a solution to the organization of the logistics services in Izmir.