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首页> 外文期刊>International Journal of Production Research >Hierarchy machine set-up for multi-pass lot scheduling at semiconductor assembly and test facilities
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Hierarchy machine set-up for multi-pass lot scheduling at semiconductor assembly and test facilities

机译:用于半导体组装和测试设施的多批次批量计划的层次机器设置

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摘要

In this paper, we examine the set-up problem at semiconductor assembly and test facilities in a multi-machine, multi-tooling environment. Our primary objectives are to minimise the number of shortages of key devices and to maximise weighted throughput over a 2-5-day planning horizon. When a machine set-up is called for three components must be taken into account: tooling, package size and flow. Each in turn imposes increasing set-up times, ranging from a few minutes to half a day. To balance system efficiency with meeting customer demand, a hierarchical approach is taken. Priority is first given to set-ups that can process (hot) lots that reduce demand shortages. Next, changeover time is factored into the decision. Here, priority is given to the component that takes the least amount of time. Our model determines machine set-ups, lot assignments and lot sequences using a greedy randomised adaptive search procedure. The results indicate that reducing set-up times can reduce hot-lot shortages by up to 6.6% over a two-day period and that following the hierarchy set-up rule while prioritising key device lots can reduce shortages by up to 10%. Moreover, when reentrant flow is taken into account, improvements of up to 42% may be realised.
机译:在本文中,我们研究了在多机器,多工具环境中半导体组装和测试设施中的设置问题。我们的主要目标是在2至5天的计划范围内,最大程度地减少关键设备的短缺,并最大程度地提高加权吞吐量。要求进行机器设置时,必须考虑三个组件:工装,包装尺寸和流程。依次增加设置时间,从几分钟到半天不等。为了平衡系统效率和满足客户需求,采用了分层方法。首先优先考虑可以处理(热)批次以减少需求短缺的设置。接下来,将转换时间纳入决策。在此,优先考虑花费最少时间的组件。我们的模型使用贪婪随机自适应搜索程序确定机器设置,批次分配和批次序列。结果表明,减少设置时间可以在两天内减少高达6.6%的热批短缺,并且遵循层次结构设置规则,同时对关键设备批次进行优先级排序可以最多减少10%的短缺。此外,考虑到折返流量,可以实现高达42%的改善。

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