| Abstract |
With consumers' stricter requests for product quality, whether the product quality is good or bad has been factored into sustainable development for business sectors. Aiming to increase industrial competitiveness, a number of enterprises have imported the six sigma process one after another and gained remarkable results. However, as product quality is being assessed, it is commonly seen that process specifications are not only symmetric but also asymmetric, and the manufacturing process usually contains unknown parameters. As a result, sampling is needed for estimation whereas the samples do not necessarily have normal distributions. In this study, a new process capability index Y-p is proposed for the asymmetric specifications while four types of bootstrap confidence interval methods are applied to find out the bootstrap confidence interval of the indicator Y-p, so either the problem of asymmetrical process specifications or the problem of non-normal processes can be solved. In addition, this study applies it to the six sigma process and develops a six sigma model with measurement, analysis, improvement, and control, to promote product quality. From the practical point of view, it can solve the problem of insufficient samples in the industry, and there is an effective evaluation process available for application. Lastly, at the empirical stage, this study takes the manufacturing process of TFT-LCD for example to explain the application of this evaluation process. The evaluation model proposed by this study can provide the related industries with a convenient and practical method when they conduct the six sigma quality improvement and process evaluations. |