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基于蚁群算法的MC供应链调度优化研究
引用本文:孙靖,林杰.基于蚁群算法的MC供应链调度优化研究[J].计算机应用,2006,26(11):2631-2634.
作者姓名:孙靖  林杰
作者单位:同济大学,经济与管理学院,上海,200092
摘    要:为解决大规模定制模式下客户订单分离点后的动态供应链调度问题,提出了包括供应商选择及企业合作时序安排的优化调度模型,设计了基于蚁群算法的求解过程。通过多组数据实验及结果比较分析,对模型算法的有效性、稳定性进行了验证。

关 键 词:大规模定制  客户订单分离点  供应链调度  优化模型  蚁群算法
文章编号:1001-9081(2006)11-2631-04
收稿时间:2006-05-15
修稿时间:2006-05-152006-07-24

Study of supply chain optimization scheduling in mass customization based on ant colony algorithm
SUN Jing,LIN Jie.Study of supply chain optimization scheduling in mass customization based on ant colony algorithm[J].journal of Computer Applications,2006,26(11):2631-2634.
Authors:SUN Jing  LIN Jie
Affiliation:School of Economics and Management, Tongji University, Shanghai 200092, China
Abstract:To solve the problem of the dynamic supply chain optimization scheduling after customer order decoupling point in mass customization, an optimization scheduling model including supplier selection and inter-enterprise scheduling was proposed. Then an ant colony algorithm based solution was designed. Finally by practical manufacture data and methods comparison, the validity and stability of this algorithm were verified.
Keywords:mass customization(MC)  customer order decoupling point(CODP)  supply chain scheduling  optimization model  ant colony algorithm
本文献已被 CNKI 维普 万方数据 等数据库收录!
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