A globalized robust optimization method for sustainable humanitarian relief network design with uncertain scenario probabilities
Disorganized treatment of casualties and irrational distribution of medical supplies pose significant challenges to relief activities, and recent disasters have brought attention to the need for optimizing emergency humanitarian relief networks. This paper proposes a scenario-based multi-objective globalized robust optimization (GRO) model to provide casualty transport schemes and medical supplies distribution strategies. Three optimization objectives in the proposed model are to minimize costs, carbon emissions, and inventory. A case study is based on the earthquake in Kermanshah, Iran. First, the authors investigate the sensitivity of the proposed model regarding the safe parameter and budget. Second, some comparative experimental results demonstrate that the GRO model exhibits great robustness in terms of obtain optimal solution. Compared with the nominal model, it can withstand some fluctuations caused by uncertainty and significantly reduce the conservatism of the robust model. Furthermore, simulation testing verifies the reliability of the GRO method though inspecting the probability that the simulated samples make the optimized strategies invalid. Finally, some management implications are obtained. This study highlights the importance of the effective relief activities that can balance life, social, economic, and environmental aspects to enable rational responses to emergencies.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/22106707
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Supplemental Notes:
- © 2023 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
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Authors:
- Wang, Zhifei
- Liu, Yankui
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0000-0002-3106-6761
- Li, Wenfei
- Publication Date: 2023-10
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: 104729
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Serial:
- Sustainable Cities and Society
- Volume: 97
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 2210-6707
- Serial URL: http://www.sciencedirect.com/science/journal/22106707?sdc=2
Subject/Index Terms
- TRT Terms: Disaster relief; Earthquakes; Forecasting; Networks; Optimization; Uncertainty
- Geographic Terms: Iran
- Subject Areas: Environment; Geotechnology; Highways; Planning and Forecasting; Safety and Human Factors; Security and Emergencies;
Filing Info
- Accession Number: 01888603
- Record Type: Publication
- Files: TRIS
- Created Date: Jul 24 2023 4:38PM