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基于蚁群算法的大规模定制供应链调度优化研究
Study of supply chain optimization scheduling in mass customization based on ant colony algorithm
【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。
【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.
【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;
【Key words】 mass customization(MC); customer order decoupling point(CODP); supply chain scheduling; optimization model; ant colony algorithm;
【Key words】 mass customization(MC); customer order decoupling point(CODP); supply chain scheduling; optimization model; ant colony algorithm;
【基金】 上海市科委重点资助项目(04JC14073)
- 【文献出处】 计算机应用 ,Journal of Computer Applications , 编辑部邮箱 ,2006年11期
- 【分类号】F274;F224
- 【被引频次】32
- 【下载频次】666