摘要
对考虑机器调整时间和物料运送时间的Job-Shop调度问题进行了研究。优化计算时考虑了物料运送时间的作用及其对车间调度的影响,并给出了其求解方法;利用GA、SA与PSO相结合的混合PSO算法解决了Job-Shop调度问题。仿真实例模拟实际工况,对工件的运送、加工和机器调整时间及其相互间的影响进行了分析和计算,并与传统的忽略机器调整时间、物料运送时间以及直接计入工件加工时间的调度方案进行了对比,结果表明提出的方法可行,更加符合实际生产工况。
The Job-Shop problems considering material transit time and machine set-up time were studied. During the optimization and calculation, the material transit time and the influences on the Job-Shop scheduling were taken into account. Subsequently, the solution method was provided and the Job-Shop scheduling problem was solved using hybrid PSO algorithm combining GA and SA. Finally, the analysis and calculation of interaction between material transit time, machining time and machine setup time was carried out by the simulation based on real conditions. The results show that the proposed method considering the machine set-up time and material transit time is more feasible and realistic than the scheduling which appends the material machining time directly.
出处
《农业机械学报》
EI
CAS
CSCD
北大核心
2008年第11期127-131,共5页
Transactions of the Chinese Society for Agricultural Machinery
基金
合肥市制造业信息化专项(项目编号:070205D2)
关键词
车间调度
混合PSO算法
物料运送时间
机器调整时间
Job-Shop scheduling, Hybrid particle swarm optimization algorithm, Material transittime, Machine set-up time