Bowling Alone in Taiwan? Political Trust and Civic Participation of Taiwanese and Their Appraisal of Liberal Democracy and Personal Wellbeing

Social Indicators Research - Based on a nationwide survey dataset collected by Taiwan’s Executive Yuan (2017) (N?=?2737) and adopting structural equation modelling with...     

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

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.     

Performance evaluation of processes with asymmetric tolerances in the presence of gauge measurement errors

ABSTRACT

In this study, the generalized confidence interval method is applied to evaluate the performances of processes with asymmetric tolerances taking into account the gauge measurement errors (GME). To examine the performance of the proposed method, a series of simulations is conducted. Moreover, a sensitivity study is carried out to analyze the effects of ignoring GME. The proposed method performs very well and can be recommended for assessing the performances of processes with asymmetric tolerances in the presence of GME.