东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2005, Vol. 26 ›› Issue (5): 474-477.DOI: -

• 论著 • 上一篇    下一篇

基于遗传算法的网络化制造伙伴选择与优化

董文辉;巩亚东;王宛山   

  1. 东北大学机械工程与自动化学院;东北大学机械工程与自动化学院;东北大学机械工程与自动化学院 辽宁沈阳　110004
  • 收稿日期:2013-06-24 修回日期:2013-06-24 出版日期:2005-05-15 发布日期:2013-06-24
  • 通讯作者: Dong, W.-H.
  • 作者简介:-
  • 基金资助:
    教育部高等学校博士学科点专项科研基金资助项目(0145015);;山东省优秀中青年科学家奖励基金资助项目(2004BS05012)

Partner selection and optimization model in global manufacturing

Dong, Wen-Hui (1); Gong, Ya-Dong (1); Wang, Wan-Shan (1)   

  1. (1) School of Mechanical Engineering and Automation, Northeastern University, Shenyang 110004, China
  • Received:2013-06-24 Revised:2013-06-24 Online:2005-05-15 Published:2013-06-24
  • Contact: Dong, W.-H.
  • About author:-
  • Supported by:
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摘要： 在分析制造业面临的动态多变的竞争环境基础上,着重考虑了时间、成本、风险作为伙伴选择过程中的重要评价因素,结合项目本身存在的约束关系以及决策者的偏好,提出了基于遗传算法的合作伙伴选择的多目标优化模型·实例仿真结果验证了算法模型与求解过程的有效性与实用性,实现了网络化制造伙伴选择的定量分析,为开发网络联盟企业合作伙伴选择决策支持系统奠定了基础·

关键词: 网络化制造, 动态联盟, 伙伴选择, 遗传算法, 多目标优化

Abstract: Dynamic alliance and virtual enterprise (VE) are the main components of global manufacturing, of which the partner selection is a key problem in VE to the success of a project. A partner selection method or multi-objective optimization model is proposed including time, cost and risk as factors to evaluate and constraints on the project. A genetic algorithm is further developed to solve the problem. The performance of this algorithm is demonstrated by an example showing the R&D activities of a smoke detector, and the results reveal the effectiveness and efficiency of this algorithm.

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