Distribution Center Location Selection in Humanitarian Logistics Using Hybrid BWM–ARAS: A Case Study in Türkiye

Erden Caner (), Ateş Çağdaş () and Esen Sinan ()
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Erden Caner: Sakarya University of Applied Sciences, Faculty of Applied Sciences, International Trade and Finance, Sakarya, Türkiye
Ateş Çağdaş: Sakarya University of Applied Sciences, Faculty of Applied Sciences, International Trade and Logistics, Sakarya, Türkiye
Esen Sinan: Sakarya University of Applied Sciences, Faculty of Applied Sciences, International Trade and Logistics, Sakarya, Türkiye

Journal of Homeland Security and Emergency Management, 2024, vol. 21, issue 3, 383-415

Abstract: This study investigates the criteria affecting the location of humanitarian logistics distribution centers in the Sakarya province of Turkey, an area prone to natural disasters. The study identifies potential distribution center locations and uses the Best-Worst Method (BWM) to determine criteria such as population, distance to major highways and airports, public transportation availability, natural disaster risk, and suitable infrastructure. BWM is used to assign weights to each criterion and rank them based on their importance. The Additive Ratio Assessment (ARAS) method is then used to evaluate potential distribution center locations based on the established criteria. Disaster management experts and academicians provide their opinions through an online and face-to-face survey. Based on the results, Adapazarı is identified as the most suitable district for a humanitarian logistics distribution center. The study highlights the importance of considering multiple criteria when selecting distribution center locations and provides a framework for using multi-criteria decision-making methods in logistics planning. Disaster managers and policymakers can use the results to make informed decisions about the location of humanitarian logistics distribution centers.

Keywords: ARAS; Best Worst Method; distribution center location; humanitarian logistics (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1515/jhsem-2022-0052

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