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GROUP SCHEDULING PROBLEMS IN FLEXIBLEFLOW SHOPS

机译:灵活流程商店中的小组调度问题

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Flexible flow shops are becoming increasingly common in industry practice because of higher workloads imposedrnby jobs on one or more stages, thus requiring two or more units of the same machine type. We present arnmethodology for solving this important problem, namely group scheduling, within the context of cellularrnmanufacturing systems in order to minimize the total completion time of all groups of jobs considered in thernplanning horizon. Two different setup options, namely single setup and multiple-setups, are investigated for jobsrnwithin the same group. A combined heuristic solution algorithm, comprised of single- and multiple-pass heuristics,rnis used for solving the problem. An example problem, consisting of three different problem instances of the samernstructure, is used to not only demonstrate the applicability of the solution algorithm, but also to identify the setup tornaverage job run time ratios that should simultaneously prevail across all stages represented by two or more identicalrnunits in order to select multiple-setups over single setup or vice versa.
机译:柔性流水车间在工业实践中变得越来越普遍,这是因为在一个或多个阶段上作业增加了工作量,因此需要两个或多个相同机器类型的单元。我们提出了用于解决这一重要问题的方法学,即在蜂窝制造系统的背景下进行小组调度,以最大程度地减少计划规划范围内考虑的所有工作组的总完成时间。对于同一组中的作业,研究了两种不同的设置选项,即单项设置和多项设置。一种组合的启发式求解算法,由单次和多次遍历启发式算法组成,用于解决该问题。一个示例问题,由三个相同结构的不同问题实例组成,不仅用于说明解决方案算法的适用性,还用于标识在两个或两个以上代表的所有阶段中同时应占主导的设置平均工作运行时间比率相同的单位,以便在单个设置上选择多个设置,反之亦然。

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