Design of An Agent-Based Simulation Model of Service Supply Chain

The present research aimed to design an agent-based simulation model of the service supply chain. In this respect, library studies were first conducted, and then the research gap was found. Suppliers were divided into suppliers of fast-moving consumer goods and slow-moving consumer goods, repairmen, and medicine suppliers, while services were divided into general, emergency, specialized, and nursing services, and patients were divided into people with insurance and those without insurance. Also, conditions of the service supply chain in this hospital were investigated and analyzed from different aspects. Next, this supply chain was implemented using NetLogo software, and the amount of unfulfilled demand and other cases were checked, and various weaknesses and gaps were shown. In the following, it was tried to decrease the existing gaps by developing different scenarios. Although the results of all the scenarios showed improved conditions, apparently, fast-moving consumer goods are the least affected by the decreased demand gap compared to the developed scenarios. In the maintenance section, the cost of preventive and in fact its increase can have the greatest effect. Regarding the increase of people covered by health insurance, the increase of insured people is a better scenario than reducing the treatment costs, and in fact, the reduction in treatment costs increase the number of people covered by health care services as it should.