Prepositioning of Emergency Supplies for Predictable Disasters Using Distributionally Robust Optimization

Jing Li (1) , Ada Che (2) , Feng Chu (3)

1 School of Management
2 NPU - Northwestern Polytechnical University [Xi'an]
3 IBISC - Informatique, BioInformatique, Systèmes Complexes

This paper examines the prepositioning of emergency supplies problem, which integrates the decisions of facility location, emergency supplies prepositioning, and distribution under predictable disasters. We scrutinize three stages of relief management in the context of predictable disasters. After that, this paper introduces a novel three-stage distributionally robust optimization (3DRO) model. To make the 3DRO model computationally tractable, we further develop a deterministic equivalent model. A real case study in China demonstrates the superiority of our proposed model.

Keywords: Facility planning and materials handling; Robustness analysis; Operations Research

Domains: Operations Research [math.OC]

Jing Li, Ada Che, Feng Chu. Prepositioning of Emergency Supplies for Predictable Disasters Using Distributionally Robust Optimization. 10th IFAC Conference on Manufacturing Modelling, Management and Control (MIM 2022), Jun 2022, Nantes, France. pp.3100 --3105, ⟨10.1016/j.ifacol.2022.10.205⟩. ⟨hal-03723266⟩