Bi-objective robust optimisation on relief collaborative distribution considering secondary disasters
Author:
Affiliation:
1. School of Traffic & Transportation Engineering, Central South University, Changsha, People’s Republic of China
2. School of Transportation and Logistics, Central South University of Forestry and Technology, Changsha, People’s Republic of China
Funder
National Natural Science Foundation of China
the High-end Think Tank Project of Central South University
the Natural Science Foundation of Hunan Province, China
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management
Link
https://www.tandfonline.com/doi/pdf/10.1080/00207543.2023.2217306
Reference83 articles.
1. A decision support model for robust allocation and routing of search and rescue resources after earthquake: a case study
2. Designing an integrated pharmaceutical relief chain network under demand uncertainty
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4. Costs of resilience and disruptions in supply chain network design models: A review and future research directions
5. A new robust optimization model for relief logistics planning under uncertainty: a real-case study
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