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供应链协同生产作业调度优化研究
引用本文:郑子钊,胡燕海.供应链协同生产作业调度优化研究[J].宁波大学学报(理工版),2011,24(1):71-74.
作者姓名:郑子钊  胡燕海
作者单位:宁波大学机械工程与力学学院,浙江宁波,315211
基金项目:国家自然科学基金,浙江省自然科学基金
摘    要:提出工序制造单元的概念,以供应商最小化加工流程时间为目标,建立了供应链协同生产作业调度模型,并运用双层编码遗传算法对模型进行了求解,最后通过算例仿真计算表明:提出的模型和算法可以获得满意解.通过对供应商生产作业调度的分析,调度结果既可以指导供应商合理的安排生产,同时可以作为核心制造商分配订单的参考依据.

关 键 词:供应链  协同  生产作业调度  遗传算法

Optimization of Collaborative Scheduling in Supply Chain
ZHENG Zi-zhao,HU Yan-hai.Optimization of Collaborative Scheduling in Supply Chain[J].Journal of Ningbo University(Natural Science and Engineering Edition),2011,24(1):71-74.
Authors:ZHENG Zi-zhao  HU Yan-hai
Institution:(Faculty of Mechanical Engineering and Mechanics,Ningbo University,Ningbo 315211,China)
Abstract:The concept of operating manufacture cell is proposed. Aiming at minimizing processing time, the model of collaborative scheduling in supply chain is established. The genetic algorithm of hybrid double-coding is applied to the solution of the model, and the simulation shows that the model and algorithm is able to obtain satisfactory solution. It suggests that the scheduling results can direct suppliers to handle the production tasks more reasonably as well as efficiently.
Keywords:supply chain  collaboration  scheduling  genetic algorithm
本文献已被 CNKI 维普 万方数据 等数据库收录!
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