基于粒子群的供应链认知图优化方法研究

Research on the Cognitive Map Optimization Algorithm of the Supply Chain Based on Particle Swarm

在现代社会,供应链逐渐全球化,供应链风险产生的影响也越来越大。该文就是以供应链风险为研究对象,结合认知图和粒子群优化算法的长处,提出以认知图模拟供应链网络、以粒子群算法优化认知图的方法来研究预测供应链风险的方法。该方法真实有效地模拟了供应链网络的运行状况,能有效地克服当前预警模型缺乏自我学习能力等优点,为供应链预警研究提供了一条可行的实现途径。

In the modern society,supply chain has been globalized,along with the risks brought by it.Focusing on the research on the supply chain risk, this paper integrates the advantages of the cognitive map and the particle swarm optimization,and finds a new way to pre-alert supply chain risk based on cognitive map simulating supply chain network and particle swarm optimizing cognitive map algorithm.This method simulates the work condition of supply chain net effectively,and adds the self-study attribute compared with previous models,which provides a new and practical way to study the supply chain pre-alert.