Assessing Nanofabrication Performance Based on the Estimated Taguchi Capability Index with Subsamples

Po-Hsun Wang ； Gu-Hong Lin ； Tsang-Chuan Chang

《International Journal of Information and Management Sciences》 28卷1期 (2017/03) Pp. 33-52

https://doi.org/10.6186/IJIMS.2016.28.1.4

摘要

The Taguchi capability index C_(pm) has been proposed to the manufacturing industry for measuring manufacturing capability. Investigations of the estimated Taguchi capability index based on subsamples have been proposed and arrested substantial research attention. In this paper, investigation based on subsamples is considered for normally distributed processes from the traditional distribution frequency approach. A reliable inferential procedure based on subsamples of the estimated Taguchi capability index is proposed. Computational programs using Matlab software are proposed to calculate p-values and critical values required to ensure the process reaching a certain desirable level of the time. A practical example is provided to demonstrate how the proposed procedure may be applied for judging whether the process runs under the desirable quality requirement.

關鍵字

Nanofabrication ； subsamples ； Taguchi capability index

參考文獻

Boyles, R. A.(1991).The Taguchi capability index.Journal of Quality Technology.23,17-26.

Chan, L. K. Cheng, S. W.,Spiring, F. A.(1988).A new measure of process capability Cpm.Journal of Quality Technology.20,162-175.

Chang, T. C.,Wang, K. J.,Chen, K. S.(2014).Sputtering process assessment of ITO film for multiple quality characteristics with one-sided and two-sided specifications.Journal of Testing and Evaluation.42,196-203.

Chang, T. C.,Wang, K. J.,Chen, K. S.(2014).Capability performance analysis for processes with multiple characteristics using accuracy and precision.Proceedings of the Institution of Mechanical Engineers Part B - Journal of Engineering Manufacture.228,766-776.

Chen, H. T.,Chen, K. S.(2016).Assessing the assembly quality of a T-bar ceiling suspension by using an advanced multi-process performance analysis chart with asymmetric tolerance.European Journal of Industrial Engineering.10,264-283.