Modeling Relief Demands in an Emergency Supply Chain System under Large-Scale Disasters Based on a Queuing Network

Abstract EN

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.