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Operations improvement in a semiconductor capital equipment manufacturing plant : capacity management and inventory policies

机译:半导体资本设备制造工厂的运营改进:容量管理和库存政策

摘要

This thesis addresses the challenge of increasing capacity in a high-mix low-volume semiconductor equipment assembly plant, without investing in additional floor space or labor shifts. A hypothesis-driven methodology is used to analyze the factory operations and identify factors limiting capacity. Based on the preliminary analysis, a hypothesis tree is developed. Space, effective utilization of labor for assembly operations and inventory stock-outs are identified to be the main factors limiting the plant's capacity. A factory simulation model is used to estimate current capacity and identify imbalances in the assembly line design. A new layout is developed which is capable of increasing throughput by 30% with five fewer assembly bays on the shop floor. Implementing the new layout in addition to increasing the percentage of labor hours devoted to assembly operations is expected to increase capacity by 36%. An improvement in percentage of labor hours dedicated to assembly operations is observed to result in a greater increase in throughput for the proposed layout compared to the current layout. Based on the above findings, a comprehensive labor and space utilization strategy is presented to the management for increasing plant capacity. Line starvation or inflated operation times due to inventory shortage lowers the capacity of the plant. Hence, a finished goods inventory policy is proposed based on the base-stock model to effectively manage the high-volume assemblies which are made in the supermarket area on a make-to-stock basis for downstream usage in the assembly line. Shortage of inventory at the component level is found to be a major cause of stock-outs for these assemblies. A systematic component level inventory policy is developed to improve the service level. The proposed inventory policies are also expected to reduce expediting costs and total safety stock costs across the bill of materials for the high volume assemblies.
机译:本论文解决了在不投资额外的占地面积或劳动力转移的情况下提高高混合量小批量半导体设备组装厂产能的挑战。假设驱动的方法用于分析工厂运营并确定限制产能的因素。在初步分析的基础上,开发了一个假设树。空间,有效利用装配操作的劳动力以及库存缺货被认为是限制工厂产能的主要因素。工厂仿真模型用于估计电流容量并识别流水线设计中的不平衡。开发了一种新的布局,能够在车间减少五个装配架的情况下将吞吐量提高30%。除了增加专门用于组装操作的工时百分比之外,实施新布局还有望将产能提高36%。观察到专用于组装操作的工时百分比的改善导致与当前布局相比,所提出的布局的生产率有了更大的提高。基于以上发现,向管理层提出了一项全面的劳动力和空间利用策略,以提高工厂的产能。由于库存不足而导致的生产线短缺或运行时间膨胀会降低工厂的产能。因此,基于基本库存模型提出了一种成品库存策略,以有效地管理在超市区域中按库存制造的大批量装配,以用于装配线的下游使用。组件级别的库存短缺被认为是这些组件缺货的主要原因。制定了系统的组件级库存策略以提高服务水平。预计拟议的库存政策还将减少大批量装配的物料清单中的加急成本和总安全库存成本。

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