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首页> 外文会议>Annual ASEM(American Society for Engineering Management) National Conference; 20071107-10; Chattanooga,TN(US) >APPLYING LEAN TECHNIQUES TO THE VALUE STREAM IN A JOB SHOP ENVIRONMENT
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APPLYING LEAN TECHNIQUES TO THE VALUE STREAM IN A JOB SHOP ENVIRONMENT

机译：在工作场所环境中将精益技术应用于价值流

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摘要

Operations in a manufacturing job shop are characterized with diverse products with low production volume and possibly little part repetitions. The large amount of variables that a typical job shop faces often leads to a push production full of non-value added activities and poses challenges in implementing lean techniques. This paper presents a case study on how lean techniques can be implemented in a machine shop that manufactures high precision metal components for the medical device, aerospace, and defense industries. The research begins with identifying various product families using the technique of product routing analysis. Key product families can be selected based on a variable called weighted production hours, WP_T, whose value is determined by the combination of revenue and production hours of each product family. After identifying the product family with the highest WP_T, a current state is developed using value stream mapping (VSM). The next stage of the research focuses on implementing lean techniques to the value stream with the objective of reducing wastes. Improvements are measured by comparing the value-added ratios and work-in-process costs obtained from the current and future state value stream maps. Finally, a study is performed on a worst-case condition depicting the scenario in the highest demand period. The proposed solution is a redesign of the future state map for the worst-case demand condition.
机译：制造车间的运营特点是产品种类繁多，产量低并且零件重复性可能很小。典型的车间所面临的大量变量通常会导致大量生产非增值活动，从而给实施精益技术带来挑战。本文提供了一个案例研究，说明如何在制造用于医疗设备，航空航天和国防工业的高精度金属部件的机械车间中实施精益技术。研究首先使用产品路线分析技术确定各种产品系列。可以基于称为加权生产时间WP_T的变量来选择关键产品系列，该变量的值由每个产品系列的收入和生产时间的组合确定。在确定具有最高WP_T的产品系列之后，将使用值流映射（VSM）开发当前状态。研究的下一阶段着重于将精益技术应用于价值流，以减少浪费。通过比较从当前和未来状态价值流图获得的增值比率和在制品成本来衡量改进。最后，在最坏情况下进行研究，以描述最高需求时期的情况。提出的解决方案是针对最坏情况的需求条件对未来状态图进行的重新设计。

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