Applying Adaptive Multi-Agent Modeling in Agile Supply Chain Simulation

An agile supply chain focuses on responding to unpredictable market changes and capitalizing on them through fast delivery and lead-time flexibility. It deploys new technologies, methods, tools, and techniques to solve unexpected problems. Recently, multi-agent technology is increasingly regarded as a good solution for supply chain management. This paper attempts to apply adaptive multi-agent modeling method to agile supply chain simulation, and illustrates the concrete modeling process with task allocation problem. A two-leveled reinforcement learning mechanism to improve the model is designed, and some related topics are also discussed in this paper