平顺移动模式下考虑加工时间与调整时间可分离的多目标流水车间批量调度

发布时间：2018-06-16 03:03

本文选题：平行顺序移动模式 + 调整时间　；参考：《系统工程理论与实践》2017年11期

【摘要】：对平行顺序移动模式下考虑加工时间与调整时间可分离的多目标流水车间批量调度问题展开研究.构建以加工制造设备总停机次数、批量工件生产周期以及搬运批量工件的总次数为决策目标的基于分层序列法的多目标决策模型,利用该模型可确定批量工件的最优加工排序方案.建立平行顺序移动模式的加工与调整时间模型,该模型是求解生产周期的基础,也是为批量工件的最优调度方案制定生产作业计划的依据.提出并设计平行顺序移动模式下考虑加工时间与调整时间可分离的禁忌搜索算法对问题进行求解.研究结果表明:本研究可为平顺移动模式下考虑加工时间与调整时间可分离的批量生产流水车间选出批量工件的最优调度方案,同时可为批量工件的加工和加工制造设备的调整制定精确的生产作业计划.
[Abstract]:The multi-objective flow-shop batch scheduling problem considering the separation of processing time and adjusting time in parallel sequential moving mode is studied. A multi-objective decision-making model based on hierarchical sequence method is constructed, which takes the total downtime of manufacturing equipment, the production cycle of batch workpiece and the total number of moving batch workpieces as the decision objectives. The model can be used to determine the optimal processing scheduling scheme for batch jobs. The processing and adjusting time model of parallel sequential moving mode is established. The model is the basis of solving production cycle and the basis of making production plan for the optimal scheduling scheme of batch jobs. A Tabu search algorithm considering the separation of processing time and adjusting time is proposed and designed to solve the problem in parallel sequential moving mode. The results show that this study can select the optimal scheduling scheme for batch production workshop considering the separation of processing time and adjusting time in smooth moving mode. At the same time, we can make accurate production plan for batch workpiece processing and manufacturing equipment adjustment.
【作者单位】：北京邮电大学自动化学院;北京邮电大学经济管理学院;北京航空航天大学经济管理学院;
【基金】：国家自然科学基金(71372007,71772010) 航空科学基金项目(2015ZG41003) 北京邮电大学青年科研创新计划专项-人才项目(2017RC26)~~
【分类号】：F273

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