PurposeThe 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/approachThe 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.FindingsIt 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/valueThis study contributes to disaster preparedness and brings a solution to the organization of the logistics services in Izmir.
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Duy Tan Univ, Inst Res & Dev, Da Nang 550000, Vietnam
Duy Tan Univ, Fac Civil Engn, Da Nang 550000, Vietnam
Yazd Univ, Ind Engn Dept, Yazd, IranDuy Tan Univ, Inst Res & Dev, Da Nang 550000, Vietnam
Mostafaeipour, Ali
Alvandimanesh, Marzieh
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Yazd Univ, Ind Engn Dept, Yazd, IranDuy Tan Univ, Inst Res & Dev, Da Nang 550000, Vietnam
Alvandimanesh, Marzieh
Naja, Fatemeh
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Ferdowsi Univ Mashhad, Dept Ind Management, Mashhad, Razavi Khorasan, IranDuy Tan Univ, Inst Res & Dev, Da Nang 550000, Vietnam
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Univ Gothenburg, Dept Business Adm, Gothenburg, SwedenLa Salle Univ, Distinguished Chair Business Analyt, Business Syst & Analyt Dept, Philadelphia, PA 19141 USA
Sorooshian, Shahryar
Sarvarizadehkouhpaye, Meysam
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Shahid Beheshti Univ, Management & Accounting Fac, Dept Ind Management & Informat Technol, Tehran, IranLa Salle Univ, Distinguished Chair Business Analyt, Business Syst & Analyt Dept, Philadelphia, PA 19141 USA
Sarvarizadehkouhpaye, Meysam
Mina, Hassan
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Saito Univ Coll, Prime Sch Logist, Selangor, MalaysiaLa Salle Univ, Distinguished Chair Business Analyt, Business Syst & Analyt Dept, Philadelphia, PA 19141 USA
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Nanning Normal Univ, Sch Logist Management & Engn, Nanning 530001, Peoples R ChinaNanning Normal Univ, Sch Logist Management & Engn, Nanning 530001, Peoples R China
Li, Jian
Niu, Li-li
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Guangxi Univ, Xingjian Coll Sci & Liberal Arts, Nanning 530005, Peoples R ChinaNanning Normal Univ, Sch Logist Management & Engn, Nanning 530001, Peoples R China
Niu, Li-li
Chen, Qiongxia
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Nanning Normal Univ, Sch Logist Management & Engn, Nanning 530001, Peoples R ChinaNanning Normal Univ, Sch Logist Management & Engn, Nanning 530001, Peoples R China
Chen, Qiongxia
Wang, Zhong-xing
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Guangxi Univ, Sch Math & Informat Sci, Nanning 530004, Peoples R ChinaNanning Normal Univ, Sch Logist Management & Engn, Nanning 530001, Peoples R China