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Application of Taguchi Method to Analyze the Impacts of Commonality in Multistage Production Under Uncertainty

机译:Taguchi方法在不确定性下多阶段生产中通用性影响分析中的应用

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摘要

The work explores the optimum level of batch size in bottleneck facility and the effect of common components on work-in-process (WIP) level and cycle time in a multistage production system in an uncertain environment created by machine breakdown and quality variation, Few simulation models are developed based on a live case from a company. The models are verified and validated with the historical data from the company and by face validity. Taguchi approaches for orthogonal array are used in designing experiments and these are executed in WITNESS, a simulation package. It is observed that the variation in level of common component in the system has a significant impact on the production WIP level and cycle time. The main contribution of this research is the determination of the optimal level of batch size in a bottleneck resource under the uncertainties. This approach can be generalized to any multistage production system, regardless of the precedence relationships among the various production stages in the system.
机译:该工作探索了瓶颈设备中批次大小的最佳水平,以及在由机器故障和质量变化所造成的不确定环境下,多阶段生产系统中通用组件对在制品(WIP)水平和周期时间的影响,很少有人模拟模型是根据公司的实际案例开发的。通过使用公司的历史数据并通过面部有效性对模型进行验证和确认。设计实验中使用了Taguchi正交阵列方法,这些方法是在WITNESS(模拟程序包)中执行的。可以观察到,系统中公共组件级别的变化对生产WIP级别和周期时间有重大影响。这项研究的主要贡献是在不确定性条件下确定瓶颈资源中批次大小的最佳水平。可以将这种方法推广到任何多阶段生产系统,而不管系统中各个生产阶段之间的优先级关系如何。

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