摘要
通过粒子群最优化算法解决多供应商参与协同产品开发时的任务指派问题。以依赖结构矩阵为基础构建了协同产品开发总体时间模型,设计了任务优化分配的粒子群优化算法,并通过模拟分析验证了算法的实用性。通过算法设计,实现了开发子任务在各组织间的优化分配,从而保证制造商能够在预定时间内完成产品开发项目,以应对市场的快速变化。
The Particle Swarm Optimization（PSO） algorithm was used to deal with task assignment problem in multi- suppliers＇ participation in collaborative product development. Based on the Dependence Structure Matrix （DSM） ,the total time model for collaborative produce development was constructed, the PSO algorithm to realize task optimization assignment was designed, and through simulation analysis, practicality of the algorithm was verified. By algorithm design, assignment optimization of subtasks cross organizations was realized, so as to ensure manufacturers to finish product development in due date and respond to rapid changes of markets.
出处
《计算机集成制造系统》
EI
CSCD
北大核心
2009年第6期1231-1236,共6页
Computer Integrated Manufacturing Systems
基金
国家自然科学基金资助项目(70472016)~~
关键词
供应商参与
协同开发
任务指派
粒子群优化算法
supplier involvement
collaborative development
task assignment
particle swarm optimization algorithm
