基于agent行为的供应链低碳化建模与仿真

从供应链低碳化出发,分析了企业碳配额、碳交易市场中的碳价格以及消费者主观购买行为等因素对企业利润的影响。采用Repast Simphony实验仿真平台和Groovy开发语言,在复杂的不确定市场环境下,对供应链参与方行为进行仿真,建立了引入碳交易因素以后的供应链模型。模型中包含消费者对产品的选择、低碳化运输和采购、供应商选择等市场行为。仿真结果表明,企业碳配额和消费者主观购买行为对企业利润的影响较大,对碳交易市场中的碳价格影响较小,初步验证了模型的有效性。

Agents behavior based modeling and simulation for low-carbon supply chain

This paper established a simulation model after the introduction of carbon trading factors in supply chain with consideration of the uncertainty in a complex market environment and the behavior of participants, and analyzed the impact on corporate profits of company carbon credits, carbon price in carbon trading market and subjective behavior of consumers. The model used Repast Simphony platform and Groovy programming language. Agents behavior included the choice of consumers, low carbon transport and procurement and vendor selection. Simulation results show that the impact on corporate profits of company carbon credits and subjective behavior of consumers is high, carbon price in carbon trading market is low, and validated the feasibility of the model.