Abstract: In recent years, the research and application of the agent-based modeling and simulation method in supply chain risk management have become increasingly deeper. By adopting the agent-based modeling (ABM), scholars in the field of supply chain risk management can simulate the agent behavior in the supply chain in response to different risk events, establish simulation models to demonstrate the dynamics of supply chain operations, and thus deduce the impact of risk events on the supply chain, evaluate the effectiveness of risk management strategies, identify potential sources of risk, and predict the consequences of different risk events. This paper reviews the development of ABM and the current status of supply chain risk management research based on three significant types of supply chain risks (environmental, network, and organizational risks). The main research content and problems of combining ABM with different risks are elaborated. Finally, this paper proposes to pay attention to the internalization of risk factors in ABM, explore the combination of ABM with other methods, and strengthen the resilience simulation research of industrial-chain-and-supply-chains.

Key words: agent-based modeling and simulation, supply chain risk management, supply chain simulation