A Decision-Making System for emergency service design and management during pandemic COVID-19

Abstract

The emergency response system has a record for being a shaky production system. The emergency response system is a dynamic environment due to the variability of the public’s needs, which has an influence on the required people and available resources.When a pandemic like COVID-19 occurs, emergency services will be faced with exponential growth in activities and an overpopulation of departments.In this paper, the study focused on the coupling of simulation and optimization, With the goal of lowering total trip expenses and rearrangement costs, we proposed a novel approach employing a Multi-Agent (MA) Decision Making System (DMS).