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首页> 外文会议>Annual Conference and Expo of the Institute of Industrial Engineers >A Comparative Study to Investigate the Effect of the Number of Sub-Lots in a Multi-Stage Multi-Product Flowshop Lot-Streaming Problem with Consistent Sub-lot sizes: A Case Study
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A Comparative Study to Investigate the Effect of the Number of Sub-Lots in a Multi-Stage Multi-Product Flowshop Lot-Streaming Problem with Consistent Sub-lot sizes: A Case Study

机译：比较研究研究具有一致子批次大小的多阶段多产品Flowshop批量流问题中子批次数量的影响：一个案例研究

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摘要

Lot-streaming in flowshop models is intensely studied and numerous results are obtained and reported in the literature;. The maximum number of sub-lots is relaxed in many of these published research works. However, in real-life situations, limitation on the number and capacity of material handling facilities or technical considerations may constrain decision makers to plan for moving too many of sub-lots between machines on the shop floor. To tackle this problem, some researchers have put an upper bound on the number of sub-lots and/or on their size. In this paper, we aim at investigating the impact of a maximum number of sub-lots on makespan. To this goal, a comparative study is conducted to find out if with the assumption of consistent-sized sub-lots, equal and unequal sub-lot sizes affect makespan. Then using discrete-event simulation and a generic MIP model, a relatively good policy is obtained and applied to a case study to minimize the makespan.
机译：大量研究了Flowshop模型中的批量流，并获得了大量结果并在文献中进行了报道。在许多这些已发表的研究工作中，放宽了子批次的最大数量。但是，在现实生活中，对物料搬运设施的数量和容量的限制或技术考虑因素可能会限制决策者计划在车间的机器之间移动过多的子批次。为了解决这个问题，一些研究人员对子批次的数量和/或规模设定了上限。在本文中，我们旨在调查最大数量的子批对制造期的影响。为了达到这个目标，进行了一项比较研究，以发现在假设子批次大小一致的情况下，相等和不相等的子批次大小是否会影响生产期。然后，使用离散事件模拟和通用MIP模型，获得了一个相对较好的策略，并将其应用于案例研究以最小化制造周期。

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