An integrated relief pre-positioning, procurement planning, and casualty type’s allocation in a humanitarian supply chain
International Journal of Systems Science: Operations and Logistics, cilt.11, sa.1, ss.1-27, 2024 (SCI-Expanded)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 11 Sayı: 1
- Basım Tarihi: 2024
- Doi Numarası: 10.1080/23302674.2024.2436193
- Dergi Adı: International Journal of Systems Science: Operations and Logistics
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED)
- Sayfa Sayıları: ss.1-27
- Ankara Yıldırım Beyazıt Üniversitesi Adresli: Evet
Özet
Natural disasters are accidental and unpredictable occurrences requiring particular procedure developments to minimize their impairment. Adequate capacity with appropriate location of medical centers, effective distribution of reliefs, and auxiliary equipment play an influential role in post-disaster relief and rescue operations. Pre-disaster efforts can be practical not only for Humanitarian Supply Chains (HSCs) but also supportive of Humanitarian Organizations (HOs) in the post-disaster phase. This study presents a two-stage stochastic programming model in which (1) the site and numeral of Temporary Medical Centers (TMCs) given the number of existing hospitals, the probability of damage to roads/hospitals besides categorizing casualties (triage) are analyzed, and (2) the influence of a Quantity Flexibility (QF) contract is investigated for pre-positioning and procurement planning. After selecting reliable supplier(s), the model determines a suitable level for pre-positioning and ordering each relief item. Also, the model identifies the optimal TMCs positioning solution considering casualty types, demand, span between the affected regions, medical centers with available capacity, and multi-transportation modes. A case study is conducted in the earthquake-prone area of Tehran. Extensive sensitivity analyses are accomplished to gain valuable managerial insights. The results prove the proposed model can trade off strategic, tactical, and operational decisions in the pre-and-post-disaster phases.