Process Capability Assessment for Asymmetric Tolerances with Consideration of Gauge Measurement Errors

作者：Rakhmawati Dwi Yuli; Yang Chao Lung; Wu Chien Wei^*

来源：Communications in Statistics - Simulation and Computation, 2016, 45(2): 519-547.

DOI：10.1080/03610918.2013.864765

• Asymmetric tolerances
• Coverage rate
• Gauge measurement errors
• Lower confidence limit
• Process capability assessment
• 62P30
• 62F03

In recent years, the issue of process capability assessment in the presence of gauge measurement errors (GME) for cases with symmetric tolerances was investigated enthusiastically. However, even processes with symmetric tolerances are very common in practical situations, cases of asymmetric tolerances also occur in manufacturing industries. In this article, a novel approach, called the generalized confidence interval (GCI) approach, is applied to assess the capabilities of processes with asymmetric tolerances in the presence of the GME. To examine the performance of the proposed approach, an exhaustive simulation was conducted. The conclusion is that the proposed approach appears quite satisfactorily for assessing process performance with asymmetric tolerances in the presence of GME in terms of the coverage rate (CR) and the average value of the generalized lower confidence limits.

• 出版日期2016
• 单位清华大学