摘要
整体优化是供应链管理的核心问题之一。为降低供应链的整体运作成本,减小“长鞭效应”的影响,建立了多级供应链的Mu lti-agent模型,并运用遗传算法(GA)对其需求预测进行优化研究。最后利用算例进行分析,表明提出的方法能有效减小“长鞭效应”,有效降低供应链的整体运作成本。
The global optimization is one of the Critical problems in supply chain management. In order to minimize total operation cost and reduce bullwhip effect, multi-agent model of multi-level supply chain is suggested and genetic algorithm is used to forecast the demand. The final example showed that this method could reduce the bullwhip effect and the total cost of the supply chain as well.
出处
《工业工程》
2006年第5期81-85,共5页
Industrial Engineering Journal
基金
国家自然科学基金资助项目(70572073)
关键词
供应链管理
需求预测
多级代理
遗传算法
supply chain management
demand forecast
multi-agent
genetic algorithm
