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Analysis and improvement of lead time for job shop under mixed production system

机译:混合生产系统下作业车间交货时间的分析与改进

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摘要

Firstly an overview of the potential impact on work-in-process (WIP) and lead time is provided when transfer lot sizes are undifferentiated from processing lot sizes. Simple performance examples are compared to those from a shop with one-piece transfer lots. Next, a mathematical programming model for minimizing lead time in the mixed-model job shop is presented, in which one-piece transfer lots are used. Key factors affecting lead time are found by analyzing the sum of the longest setup time of individual items among the shared processes (SLST) and the longest processing time of individual items among processes (LPT). And lead time can be minimized by cutting down the SLST and LPT. Reduction of the SLST is described as a traveling salesman problem (TSP), and the minimum of the SLST is solved through job shop scheduling. Removing the bottleneck and leveling the production line optimize the LPT. If the number of items produced is small, the routings are relatively short, and items and facilities are changed infrequently, the optimal schedule will remain valid. Finally a brief example serves to illustrate the method.
机译:首先,提供了当未将转储批次大小与处理批次大小区分开时对在制品(WIP)和提前期的潜在影响的概述。将简单的性能示例与一手转移批次的商店中的示例进行比较。接下来,提出了一种用于最小化混合模型车间中的交货时间的数学编程模型,其中使用了一件式转移批。通过分析共享流程中单个项目的最长设置时间(SLST)和流程中单个项目的最长处理时间(LPT)的总和,可以找到影响交货时间的关键因素。而且,通过减少SLST和LPT,可以最大程度地缩短交货时间。 SLST的减少被描述为旅行商问题(TSP),并且SLST的最小值通过车间调度来解决。消除瓶颈并拉平生产线可优化LPT。如果生产的物品数量少,路线相对较短,并且物品和设施很少更改,则最佳计划将保持有效。最后,用一个简短的例子来说明该方法。

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