基于Agent的供应链演化及Repast S仿真

摘要

针对具有复杂自适应性的供应链系统,提出基于Agent的供应链演化及Repast仿真模型.模型中把供应链内部成员的进化模型归纳为四个子模型:学习子模型、创新子模型、反馈子模型以及战略子模型.通过Re-past S仿真实验表明,该模型中内部成员的进化模型可以使得供应链系统更优,具有更强的鲁棒性,很好地反映了供应链复杂系统的演化规律.%Supply chain, as an effective way to upgrade the competitiveness of enterprises, is researched in -depth by more and more scholars.In this paper, the model of agent - based supply chain evolution and repast S simulation is proposed according to the supply chain system that possesses complexity and adaptability.We divide the evolutionary model of supply chain members into four sub - models: learning sub - model, innovation sub - model, feedback sub - model and strategy sub model.By the results of repast S simulation, it shows that the evolutionary model of supply chain members can make better supply chain system with more robustness, and it can well reflect the regular patterns of complex systems in the supply chain.