Distributionally robust multi-period humanitarian relief network design integrating facility location, supply inventory and allocation, and evacuation planning.
In: International Journal of Production Research, Jg. 62 (2024), Heft 1/2, S. 45-70
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Zugriff:
Facility location, supply inventory and distribution, and evacuation planning are key operational functions in a humanitarian relief network, it is critical to integrate these three functions and schedule their activities jointly in a coordinated manner. Considering uncertain demands and evacuation rates of injured people, we develop a distributionally robust model for the multi-period humanitarian relief network design with multiple types of relief supplies. To solve the problem, we reformulate the proposed model into a mixed integer linear programme, and develop an enhanced branch-and-Benders-cut algorithm that incorporates some algorithm enhancements to solve the resulting model. Extensive numerical experiments show that: (i) the distributionally robust model provides more reliable and flexible solutions that perform the best when faced uncertainty over the deterministic and stochastic models; (ii) the algorithm enhancements are very effective to enhance the performance of the proposed algorithm, which can reduce the CPU time by up to 9.75%∼41.64% on average; (iii) the integrated solution approach is more beneficial to solve the problem when comparing with a sequential solution approach; and (iv) some model parameters have significant impact on the solution structure, which can help decision maker set proper parameters to achieve the desired trade-off among the considered metrics. [ABSTRACT FROM AUTHOR]
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Titel: |
Distributionally robust multi-period humanitarian relief network design integrating facility location, supply inventory and allocation, and evacuation planning.
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Autor/in / Beteiligte Person: | Yin, Yunqiang ; Wang, Jie ; Chu, Feng ; Wang, Dujuan |
Zeitschrift: | International Journal of Production Research, Jg. 62 (2024), Heft 1/2, S. 45-70 |
Veröffentlichung: | 2024 |
Medientyp: | academicJournal |
ISSN: | 0020-7543 (print) |
DOI: | 10.1080/00207543.2023.2230324 |
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