Performance evaluation of small-batch container delivery systems used in lean manufacturing – Part 1: system stability and distribution of container starts
Performance evaluation of small-batch container delivery systems used in lean manufacturing – Part 1: system stability and distribution of container starts
复制标题
精益制造中小批量集装箱输送系统的性能评估第1部分：系统稳定性和集装箱开工分布
DOI：
10.1080/00207543.2012.656330
复制
发表时间：
2013
影响因子：
9.2
通讯作者：
D. D. Ciemnoczolowski
中科院分区：
文献类型：
--
作者：
Y. Bozer;D. D. Ciemnoczolowski
在精益制造中，牛奶运行 (MR) 系统代表基于路线的循环材料处理系统，该系统广泛用于根据需要将集装箱零件从中央存储区域（“超市”）频繁且一致地交付到工厂车间的多个生产线侧存放点。 MR 系统通常会缩短交货时间、降低可变性并降低生产线库存水平。在这篇由两部分组成的论文的第一部分中，描述了一个基本的单拖轮 MR 系统。稳定性条件是根据拖车的“物理能力”和驾驶员/物料搬运工的“时间利用率”得出的，这两者都是关键标准，因为每个 MR 期间可以交付的集装箱数量是有限的，并且每个 MR 的目标是规定的周期时间，以确保及时和一致的交付。我们还推导出每个 MR 请求的集装箱数量的分布，这使得模型能够估计超出拖车物理容量或规定周期时间的概率，前提是假设 MR 系统交付的每种零件类型都有足够的看板。研究结果有助于工业中使用的 MR 系统的设计和分析。
In lean manufacturing, milk run (MR) systems represent route-based, cyclic material-handling systems that are used widely to enable frequent and consistent deliveries of containerised parts on an as-needed basis from a central storage area (the ‘supermarket’) to multiple line-side deposit points on the factory floor. MR systems generally result in short lead times, low variability, and low line-side inventory levels. In the first part of this two-part paper, a basic, single-tugger MR system is described. Stability conditions are derived with respect to the ‘physical capacity’ of the tugger, and the ‘time utilisation’ of the driver/material handler, both of which are key criteria since the number of containers that can be delivered during each MR is limited, and each MR targets a prescribed cycle time to ensure timely and consistent deliveries. We also derive the distribution of the number of containers requested per MR, which allows the model to estimate the probability of exceeding the physical capacity of the tugger or the prescribed cycle time, under the assumption that sufficient kanban are available for each part type delivered by the MR system. The results of the study facilitate the design and analysis of MR systems used in industry.