Relief commodities distribution planning considering the features of demand areas: a robust multi-objective approach

Abstract

Abstract. Logistics planning plays an important role in providing services to disasterstricken areas. In this study, a scenario-based multi-objective model is presented to locate distribution and evacuation centers and distribute relief commodities with appropriate allocation. It aims to serve the earthquake-stricken areas that are classi ed according to their construction qualities. The objective functions of cost, responsiveness, and demand coverage are considered in the proposed optimization model. Moreover, due to the uncertain nature of a disaster and uncertainty in some parameters of the model, a robust optimization approach is utilized. A revised multi-choice goal programming method is applied to solve the multi-objective model. The proposed model is validated through a case study conducted in the city of Amol. The computational results show the e ciency of the proposed model in a real-world disaster situation.

Multi-Objective Modeling of Relief Items Distribution Network Design Problem in Disaster Relief Logistics Considering Transportation System and CO2 Emission

“… An important issue that has rarely been addressed in previous research such as Paydar et al [38], Eshghi et al [43], Jamali et al [30], Cao et al [3] and Zhang and Cui [45] is that during a disaster, distribution centers may face disruptions and fail to provide services because they are disrupted after the disaster. These centers are called unreliable centers.…”