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基于遗传算法的供应链需求预测优化模型研究
Optimal Model of Multi-Agent Supply Chain Demand Forecasting Based on Genetic Algorithm
【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。
【Abstract】 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.
【关键词】 供应链管理;
需求预测;
多级代理;
遗传算法;
【Key words】 supply chain management; demand forecast; multi-agent; genetic algorithm;
【Key words】 supply chain management; demand forecast; multi-agent; genetic algorithm;
【基金】 国家自然科学基金资助项目(70572073)
- 【文献出处】 工业工程 ,Industrial Engineering Journal , 编辑部邮箱 ,2006年05期
- 【分类号】F274;F224
- 【被引频次】15
- 【下载频次】709