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Analysis of Local Decision Rules in a Dual-Kanban Flow Shop

机译：双看板流水车间中的局部决策规则分析

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A recent article reported the results of a study on the effects of two kanban policy variables—the length of withdrawal cycle and the type of priority rule—on average customer wait time and total inventory. This study extends that work by adding two kanban policy variables and two performance criteria. It reports the results of simulation experiments that were conducted to determine how four policy variables—withdrawal cycle, priority rule, status of waiting withdrawal kanbans, and number of kanbans influence four performance criteria—average customer wait-time, total inventory, and average number of full containers in the input and output stock points of stations. It was found that the information about waiting withdrawal kanbans in sequencing decisions results in the simultaneous improvement in two conflicting objectives—customer wait time and total inventory. Also, the effects of including the information regarding the status of waiting withdrawal kanbans on system performance are larger than the effects associated with the type of priority rule. The results provide insights into determining the level of each policy variable while fully considering the possible interactions among the variables and the levels of other policy variables to improve system performance. These insights allow for setting the levels of policy variables to make the improvement process smooth.
机译：最近的一篇文章报道了一项关于两个看板策略变量（提款周期的长度和优先级规则的类型）对平均客户等待时间和总库存量的影响的研究结果。这项研究通过添加两个看板策略变量和两个性能标准来扩展该工作。它报告了为确定四个策略变量（提款周期，优先级规则，等待提款看板的状态以及看板的数量）如何影响四个性能标准（平均客户等待时间，总库存和平均数量）而进行的模拟实验的结果站点的输入和输出存货点中的完整容器数量。已发现，在排序决策中有关等待提货看板的信息可同时改善两个相互矛盾的目标：客户等待时间和总库存。而且，包括有关等待退出看板状态的信息对系统性能的影响要大于与优先级规则类型相关的影响。结果为确定每个策略变量的级别提供了见解，同时充分考虑了变量之间的可能相互作用以及其他策略变量的级别以提高系统性能。这些见解可用于设置策略变量的级别，以使改进过程顺利进行。

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