An Agent-Based Simulation of Insurance Supply chain Risk Detection and Assessment

One of the approaches used by companies to gain competitive advantage in today's uncertain and competitive environment is supply chain management. The strategic aspect of the supply chain has made it more important to identify and evaluate the risks of the chain. Despite the increasing attention paid to supply chain risk management by users and academics, little research has been done on assessing supply chain risks in the field of service. Given the substantial differences in product and service supply chain models, this study, while introducing the role of the insurance industry's supply chain players, seeks to identify and evaluate the risks of the chain with a basic agent simulation approach.In this study, based on the Service Lens Based Factor Survey method, according to insurance experts, factors and risks of the insurance industry supply chain were identified using parameters extracted from statistical reports and financial statements and The probability and magnitude of the effects of each of the identified risks in both normal and critical situations, two performance indicators of the insurance companies, namely profit and loss ratio for the three selected companies, during 1393-1408 Simulated on Netlogo software environment. By testing, executing and analyzing the results of multiple simulation times, he results of the study, show the extent of change in the profit and loss parameters in relation to the insurance industry's supply chain risks, under normal and critical conditions over different years