摘要
为中小制造型企业生产模式下的"虚拟工序库"作业系统中的工人指派制定合理的方案,以生产成本最小化为目标,构建满足订单交货期的工人指派模型,采用种群的精英保留的遗传算法对此问题进行优化,并通过实例仿真验证了该方法增强了全局的寻优能力,提高全局的收敛速度,研究表明该方法对解决工人指派问题是行之有效的。
In order to obtain a reasonable worker-assignment plan for small and medium-sized manufac- turing enterprises under "virtual process database" (VPDs) operating system, and to minimize production cost, a worker-assignment model is constructed, through using the improved genetic algorithm of elitism preservation, optimizing the workers' assignment and scheduling in VPDs. Repeated simulation experi- ments and comparison show that the improved genetic algorithm has the faster speed of convergence, which indicates that it is effective.
出处
《工业工程》
2015年第2期9-14,共6页
Industrial Engineering Journal
基金
国家自然科学基金资助项目(71271060)
广东省自然科学基金资助项目(S2012010009278)
关键词
虚拟工序库
工人指派
改进的遗传算法
virtual processes databases
workers-assignment
improved genetic algorithm