• 论文 •    

基于粒子群优化算法的制造单元聚类研究

王雷,唐敦兵,许美健,万敏,袁伟东   

  1. 南京航空航天大学 机电学院,江苏南京210016
  • 出版日期:2009-02-15 发布日期:2009-02-25

Clustering of manufacturing cells based on particle swarm optimization

WANG Lei,TANG Dun-bing,XU Mei-jian,WAN Min,YUAN Wei-dong   

  1. College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
  • Online:2009-02-15 Published:2009-02-25

摘要: 为实现敏捷制造环境下资源的优化重组,降低生产过程的复杂性,提高效益,提出了敏捷制造系统资源自组织多级主协调控制结构和制造单元自组织模型,并在满足约束的前提下,建立了以总加工成本最小为目标函数的制造单元重构数学模型。采用具有计算简单、鲁棒性好、并行计算等优点的粒子群优化算法,对制造资源进行聚类研究。通过具体实例,验证了该方法的有效性,为解决此类问题提供了一种新的思路。

关键词: 粒子群优化, 制造单元, 自组织, 资源聚类, 敏捷制造

Abstract: The main-harmony control structure of self-organization of resource clustering under agile manufacturing system was proposed in order to optimize resources and reduce production complexity and increase economic benefits. A self-organization model of manufacturing cell was proposed, and the corresponding mathematic reconfiguration model of manufacturing cell aiming to minimize overall cost was constructed under the condition of constraints satisfaction. The particle swarm algorithm which was characterized by its simple calculation, good robustness, and parallel calculation was adopted to conduct research on manufacturing cells clustering. Finally, an example was used to validate the model. The research result provided a new prospective method to solve the reconfigurable problems in manufacturing systems.

Key words: particle swarm optimization, manufacturing cell, self-organization, resource clustering, agile manufacturing

中图分类号: