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akaturk Akademik ölçüm

Makale detayı · 2026

Emergency Logistics Distribution Center Selection Using Fuzzy AHP and Fuzzy VIKOR Methods

YÖKSİS OpenAlex Açık erişim · hybrid SJR Q3 JCR Q3 Atıf 0 Yüzdelik 49.9% FWCI 0.0
Yıl
2026
Tür
article

Veri kaynağı ayrımı

  • YÖKSİS YÖKSİS makale kaydı
  • YÖKSİS dergi adı Journal of Homeland Security and Emergency Management
  • Katalog eşleşmesi (ISSN) Journal of Homeland Security and Emergency Management
  • OpenAlex OpenAlex zenginleştirmesi (özet, atıf, konular)

Özet

OpenAlex · İngilizce

Abstract Disasters that directly affect human health negatively affect the supply chain. The construction of emergency centres is critical so that aid can quickly reach people in the region where disasters occur. By choosing the most appropriate location, transportation and logistics costs can be effectively reduced, emergency aid can be delivered faster, and the negative effects of disasters can be minimised. Thus, location selection research is popular in many different fields. Multi-Criteria Decision-Making (MCDM) methods are widely used in location selection problems. This study aims to determine the best distribution centre for emergency logistics (EL) using hybrid MCDM methods. The study used seven criteria and 11 alternative locations in Kahramanmaraş province of Turkey. In the research, the criteria used to determine the potential locations of distribution centres were weighted with the fuzzy Analytic Hierarchy Process (AHP) method. The alternative locations were ranked using weighted criteria using the fuzzy Vlsekriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method. The research emphasises the importance of considering different criteria and using MCDM methods for the location selection of distribution centres. The research results help disaster managers and policymakers decide to place humanitarian logistics distribution centres strategically.

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Yazarlar

  1. YUSUF ERSOY MUŞ ALPARSLAN ÜNİVERSİTESİ
  2. ALİ TEHCİ
  3. EBRUCAN İSLAMOĞLU NEVŞEHİR HACI BEKTAŞ VELİ ÜNİVERSİTESİ
  4. AYCAN KAMA