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1623. Multi-period facility location problem with resource allocation in humanitarian logistics
Invited abstract in session MD-21: Site selection and aid allocation in humanitarian operations, stream OR in Humanitarian Operations (HOpe).
Monday, 14:30-16:00Room: 49 (building: 116)
Authors (first author is the speaker)
| 1. | Yufeng Guo
|
| Graduate School of Maritime Sciences, Kobe University | |
| 2. | Etsuko Nishimura
|
| Graduate School of Maritime Sciences, Kobe University |
Abstract
Large-scale natural disasters have caused significant casualties and enormous economic losses. Effectively responding to disasters has become primary challenge for logistics authorities. After a disaster, shortages or over-supply may occur in the resource supply chain. one of the challenges that must be addressed is how to make up for shortages. To rationalise the use of limited resources, decision-makers have to decide facilities’ operations and resources allocation based on changes in disaster phases. With this issue in mind, we propose a mathematical model addressing the facility location problem within the context of post-disaster phases across multiple periods, integrating equity, transshipment, and capacity limitations. To validate the mathematical formulation and assess the effect of individual and combined concepts on the foundational model. We conducted a series of numerical experiments using python and commercial solver, Gurobi. The results indicate that the equity primarily influences the maximum unsatisfaction rate on the demand side, while the transshipment predominantly impacts emergency logistics’ operations and resources allocation. The limitation of capacity mainly affects transfer ability between emergency logistics centers. Furthermore, we gleaned additional managerial insights through sensitivity analysis of critical parameters, and delineated practical application for integrating our model into disaster management system.
Keywords
- Logistics
- Location
- Humanitarian Applications
Status: accepted
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