关键词: 多层分布式制造系统, 目标级联法, 分层调度, 遗传算法

Abstract: Aiming at the workshop distributed manufacturing system scheduling optimization problems, combined with the actual production situation, a hierarchical scheduling model based on analytical target cascading and genetic algorithms is proposed. The model divides the scheduling process into  three parts: the planning layer, the workshop scheduling layer and the job planning layer, the whole  time minimal  as its target is divided into various levels, to achieve the overall optimal scheduling time. Taking a three job-shop system as an example to verify the proposed model could be used in jobs allocation and program the path of each job.

Key words: multi distributed manufacturing system, analytical target cascading, hierarchical scheduling, genetic algorithm