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机构地区:[1]北京邮电大学,北京100876 [2]北京航空航天大学经济管理学院,北京100191
出 处:《系统工程理论与实践》2014年第11期2801-2807,共7页Systems Engineering-Theory & Practice
基 金:国家自然科学基金(71372007);教育部博士点基金(20111102110025)
摘 要:对带搬运时间的混流制造系统批量加工模式的优化与资源调度问题进行研究.建立批量工件的加工与搬运时间模型,用于求解生产周期和优化搬运次数.在此基础上,分析工件排序方案的决策准则,用于确定工件最优投产顺序.设计互助组优化算法,其可对最优作业排序方案所需的搬运设备进行调度.研究结果表明:本文的研究方法可有效求解带搬运时间的批量工件的生产周期,能优化批量工件的搬运时间和次数,可获得工件的最优排序方案,并能合理调度搬运设备资源.This paper, based on the consideration of the handling time, aimed to conduct a study on the optimization of the batches processing modes and resource scheduling for the mixed-model manufacturing system. The time models of the processing and handling for batch parts were established in order to obtain the solutions to the makespan and optimize the handling frequency. In this foundation, a principle was analyzed for determining the optimum processing sequencing. Besides, an optimization algorithm of the mutual-aid teams was also designed to schedule the handling equipments needed by the optimum processing sequencing. The results show that the study in this thesis can provide effective solutions to the makespan of batch parts, optimize the handling time and frequency, acquire the optimum processing sequencing, and schedule the resources of the handling equipments sensibly.
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