title: Modeling relief demands in an emergency supply chain system under large-scale disasters based on a queuing network.
abstract: This paper presents a multiple-rescue model for an emergency supply chain system under uncertainties in large-scale affected area of disasters. The proposed methodology takes into consideration that the rescue demands caused by a large-scale disaster are scattered in several locations; the servers are arranged in multiple echelons (resource depots, distribution centers, and rescue center sites) located in different places but are coordinated within one emergency supply chain system; depending on the types of rescue demands, one or more distinct servers dispatch emergency resources in different vehicle routes, and emergency rescue services queue in multiple rescue-demand locations. This emergency system is modeled as a minimal queuing response time model of location and allocation. A solution to this complex mathematical problem is developed based on genetic algorithm. Finally, a case study of an emergency supply chain system operating in Shanghai is discussed. The results demonstrate the robustness and applicability of the proposed model.
authors.affiliation: School of Economics Management, Shanghai Maritime University, Shanghai 201306, China.
authors.forename: Xinhua
authors.initials: X
authors.lastname: He
authors.affiliation: School of Economics and Management, Tongji University, Shanghai 200092, China.
authors.forename: Wenfa
authors.identifier: 0000-0002-3270-1237
authors.initials: W
authors.lastname: Hu
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D003661:Decision Support Techniques; D004189:Disaster Planning / Q000379:methods*; D008962:Models, Theoretical; D040841:Resource Allocation / Q000379:methods*