Author : Parand khani
Keyword : Keywords: routing-location, emergency conditions, ambulance routing, genetic algorithm, neural network
Subject : Transplantation
Article Type : Original article (research)
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Abstract : Natural or man-made floods can cause serious damage to human life. (Vahdani et al. 8112), in In such a catastrophic situation, efficient logistics operations reduce the severity of the damage to a great extent. defined is that most of the victims die due to untimely medical assistance; Therefore, devise a plan that It is very important to allocate logistics and emergency relief vehicles as quickly and efficiently as possible The main purpose of this research is to investigate location-routing problems in emergency conditions, which is optimal ambulance routing Has been studied. The current research is an applied type of research in terms of its purpose, because The results of the research can be used in medical centers and ambulance bases, and in terms of the method, a description of It is a survey type. Explanation of a mathematical model under uncertainty conditions for optimal ambulance routing using The neural network method is one of the main goals of this research. This thesis examines the optimal location of emergency centers Medicine deals with the overall goal of improving the quantity and quality of demand coverage. Finally, we study the potential of using Neural network approaches and optimization algorithms to optimize ambulance routing in poor conditions It shows certainty. By integrating these techniques into emergency response systems, we can improve efficiency and the effectiveness of emergency services. However, continued research in this area is needed
Article by : Parand
Article add date : 2024-03-14
How to cite : Parand khani. (2024-March-14). Investigating location-routing issues in emergency situations. retrieved from https://www.openacessjournal.com/abstract/1587