DefinePK

Abstract

Lives of many people around the world can be under the threat of unpredictable incidents and diseases. Sudden incidents and diseases are often in need of quick relief as they influence directly on people’s lives, and the final result of relief delivery1 is reflected by the aiding time span. Also, financial and therapeutic constraints result in finding a suitable solution. Recognition of the aiding space and understanding it are necessary for adoption of a decent response approach. The process of planning, managing and controlling the flow of aiding resources for injured and sick people are called the relief logistics. When using the available resources, best relief services are delivered to those in need, the relief logistics become apparent (1). Creating more suitable conditions for decision making relies on the integrated investigation of relief logistics. On the other hand, considering the unpredictable volume of relief inquiries, in order to have a better planning, the problem space should be reviewed in an uncertain condition which increases the complexity of the problem. In this article, we have attempted to conduct an emergency multiphase location, allocation and routing integrated study in uncertain conditions that is always of a robust response, so that minimum changes occur in various conditions. In the presented model, inquiries from emergency stations are defined as different scenarios with different ranges of occurrence probability, so that real conditions are indicated from them. On the other hand, the emergency inquiry provision supply is assumed to be uncertain which can satisfy the inquiry in an uncertain way. Considering the result analyses, we come to this conclusion that first, the problem space should be identified for decision making. In this article, in order to increase the inquiry satisfaction levels, more ambulances should be allocated to the emergency centers which results in cost elevation and sometimes it is out of resource provision capacities.