%0 Journal Article
%T Study of supply chain optimization scheduling in mass customization based on ant colony algorithm<br>基于蚁群算法的MC供应链调度优化研究
%A SUN Jing
%A LIN Jie
%A <br>孙靖
%A 林杰
%J 计算机应用
%D 2006
%I 
%X 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.
%K mass customization(MC)
%K customer order decoupling point(CODP)
%K supply chain scheduling
%K optimization model
%K ant colony algorithm<br>大规模定制
%K 客户订单分离点
%K 供应链调度
%K 优化模型
%K 蚁群算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=8AFA360088B84EAC&yid=37904DC365DD7266&vid=96C778EE049EE47D&iid=708DD6B15D2464E8&sid=59CA4DC15FDFDB23&eid=AF4CA81659CBBE56&journal_id=1001-9081&journal_name=计算机应用&referenced_num=4&reference_num=12