Multi-objective robust-stochastic optimisation of relief goods distribution under uncertainty: a real-life case study
- Publisher:
- Taylor and Francis
- Publication Type:
- Journal Article
- Citation:
- International Journal of Systems Science: Operations and Logistics, 2022, 9, (2), pp. 241-262
- Issue Date:
- 2022-06
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| Filename | Description | Size | |||
|---|---|---|---|---|---|
| Multi objective robust stochastic optimisation of relief goods distribution under uncertainty a real life case study.pdf | Published version | 3.25 MB |
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This paper proposes a multi-objective robust-stochastic humanitarian logistics model to assist disaster management officials in making optimal pre- and post-disaster decisions. This model identifies the location of temporary facilities, determines the amount of commodity to be pre-positioned, and provides a detailed schedule for the distribution of commodities and the dispatch of vehicles. Uncertainties in demand, node reachability by a particular mode of transportation, and condition of pre-positioned supplies after a disaster are considered. Another supposition of this paper is the equity in the distribution of commodities. This paper contributes to the existing literature by adding vehicle flow and multi-periodicity into a robust-stochastic optimisation model. A real-life case study of a flood in Bangladesh shows the applicability of our model. Finally, the findings show that the proposed model can aid decision-makers in allocating resources optimally.
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