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Congestion Effects in Design of Factory Layouts

机译:工厂布局设计中的拥塞效果

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In this paper, we present a formulation of the layout design problem where the objective is to minimize work-inprocess(WIP). In contrast to some recent research, we show that layouts obtained using a queueing-basedformulation can be very different from those obtained using the conventional quadratic assignment problem (QAP)formulation. For example, we show that a QAP-optimal layout can be WIP-infeasible. Similarly, we show thattwo QAP-optimal layouts can have vastly different WIP values. In general, we show that WIP is not monotonic inmaterial handling travel distances. This leads to a number of surprising results. For instance, we show that it ispossible to reduce overall distances between departments but increase WIP. Because WIP is affected by both meanand variance of travel times, we find that reducing variance can be as important as reducing average travel time.Furthermore, we find that the relative desirability of a layout can be affected by changes in material handling capacityeven when travel distances remain the same. More importantly, we show that the relative desirability of a layout canbe affected by non-material handling factors, such as department utilization levels, variability in departmentprocessing times, and variability in product demands.
机译:在本文中,我们展示了一个制定的布局设计问题,目标是最小化工作过程(WIP)。与最近的一些研究相比,我们表明使用基于排队获得的布局配方可以与使用传统二次分配问题(QAP)获得的那些非常不同公式。例如,我们表明QAP最佳布局可以是不可行的。同样,我们展示了这一点两个QAP最佳布局可以具有很大不同的WIP值。一般来说,我们表明WIP没有单调物料搬运行程距离。这导致了一些令人惊讶的结果。例如,我们表明它是可以减少部门之间的整体距离,但增加效果。因为WIP受到平均值的影响和旅行时间的差异,我们发现减少方差可以是降低平均旅行时间的重要性。此外,我们发现布局的相对期望可能受到物质处理能力的变化的影响即使旅行距离保持不变。更重要的是,我们表明布局的相对可取性可以受非物质处理因素的影响,如部门利用水平,部门的变异性加工时间,产品需求的可变性。

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