Digital supply chain twins (DSCTs) are attracting attention as a new management system that can be used in an environment in which the market changes rapidly due to sudden risks. To realize DSCTs, an SCM simulator that can accurately reproduce information flow in addition to the conventional physical objects and cash flow and fast, high-precision key performance indicator (KPI) evaluation are required. In this study, the information controller is defined as an agent, the agent has a dynamic decision-making function called a behavior, and a modeling method is proposed in which the behavior is composed of three elements: start condition, execution logic selection condition, and execution logic. As a result of applying this simulator to the information equipment business, the SC was confirmed to be reproduced with a deviation rate of 5% or less, a model was constructed in 3 hours, and a KPI evaluation was performed in 12 seconds at most.
Development of an Agent-based Simulator for Digital Supply Chain Twin
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