Assessing the actual Gamma process quality – a curve-fitting approach for modifying the non-normal flexible index

References

• Boyles, R. A. 1991. “The Taguchi Capability Index.” Journal of Quality Technology 23: 17–26.
   Web of Science ®Google Scholar
• Chou, Y. M., A. M. Polansky, and R. L. Mason. 1998. “Transforming Nonnormal Data to Normality in Statistical Process Control.” Journal of Quality Technology 30: 133–141.
   Web of Science ®Google Scholar
• Efron, B. 1979. “Bootstrap Methods: Another Look at the Jackknife.” The Annals of Statistics 7: 1–26.10.1214/aos/1176344552
   Web of Science ®Google Scholar
• Efron, B. 1982. The Jackknife, the Bootstrap and Other Resampling Plans. Philadelphia, PA: Society for Industrial and Applied Mathematics.10.1137/1.9781611970319
   Google Scholar
• Efron, B., and R. J. Tibshirani. 1986. “Bootstrap Methods for Standard Errors, Confidence Intervals, and Other Measures of Statistical Accuracy.” Statistical Science 1: 54–75.10.1214/ss/1177013815
   Google Scholar
• English, J. R., and G. D. Taylor. 1993. “Process Capability Analysis – A Robustness Study.” International Journal of Production Research 31 (7): 1621–1635.10.1080/00207549308956813
   Web of Science ®Google Scholar
• Johnson, N. L., S. Kotz, and W. L. Pearn. 1994. “Flexible Process Capability Indices.” Pakistan Journal of Statistic 10 (1): 23–31.
   Google Scholar
• Kotz, S., and N. L. Johnson. 2002. “Process Capability Indices – A Review, 1992–2000.” Journal of Quality Technology 34 (1): 1–19.
   Web of Science ®Google Scholar
• Liao, M. Y., C. W. Wu, and J. W. Wu. 2013. “Fuzzy Inference to Supplier Evaluation and Selection Based on Quality Index: A Flexible Approach.” Neural Computing & Application 23 (Suppl 1): S117–S127.
   Google Scholar
• Pearn, W. L., and K. S. Chen. 1999. “Making Decisions in Assessing Process Capability Index Cpk.” Quality and Reliability Engineering International 15: 321–326.10.1002/(ISSN)1099-1638
   Web of Science ®Google Scholar
• Pearn, W. L., and Y. C. Cheng. 2007. “Estimating Process Yield Based on Spk for Multiple Samples.” International Journal of Production Research 45 (1): 49–64.10.1080/00207540600600122
   Web of Science ®Google Scholar
• Pearn, W. L., and Y. C. Cheng. 2010. “Measuring Production Yield for Processes with Multiple Characteristics.” International Journal of Production Research 48 (15): 4519–4536.10.1080/00207540903036313
   Web of Science ®Google Scholar
• Pearn, W. L., H. N. Hung, Y. C. Cheng, and G. H. Lin. 2010. “Procedure of the Convolution Method for Estimating Production Yield with Sample Size Information.” International Journal of Production Research 48 (5): 1245–1265.10.1080/00207540802552667
   Web of Science ®Google Scholar
• Pearn, W. L., H. Y. Kang, A. H. I. Lee, and M. Y. Liao. 2009. “Photolithography Control in Wafer Fabrication Based on Process Capability Indices with Multiple Characteristics.” IEEE Transactions on Semiconductor Manufacturing 22 (3): 351–356.10.1109/TSM.2009.2024851
   Web of Science ®Google Scholar
• Pearn, W. L., and S. Kotz. 2006. Encyclopedia and Handbook of Process Capability Indices: A Comprehensive Exposition of Quality Control Measures. Singapore: World Scientific.
   Google Scholar
• Pearn, W. L., S. Kotz, and N. L. Johnson. 1992. “Distributional and Inferential Properties of Process Capability Indices.” Journal of Quality Technology 24 (4): 216–231.
   Web of Science ®Google Scholar
• Pearn, W. L., C. W. Wu, and H. C. Lin. 2004. “Procedure for Supplier Selection Based on Cpm Applied to Super Twisted Nematic Liquid Crystal Display Processes.” International Journal of Production Research 42 (13): 2719–2734.10.1080/0020754042000203876
   Web of Science ®Google Scholar
• Sarkar, A., and S. Pal. 1997. “Estimation of Process Capability Index for Concentricity.” Quality Engineering 9 (4): 665–671.10.1080/08982119708919088
   Google Scholar
• Somerville, S. E., and D. C. Montgomery. 1996–1997. “Process Capability Indices and Non-normal Distributions.” Quality Engineering 9 (2): 305–316.10.1080/08982119608919047
   Google Scholar
• Wu, C. W., and M. Y. Liao. 2014. “Fuzzy Nonlinear Programming Approach for Evaluating and Ranking Process Yields with Imprecise Data.” Fuzzy Sets and Systems 246: 142–155.10.1016/j.fss.2013.10.014
   Web of Science ®Google Scholar
• Wu, C. W., M. Y. Liao, and J. C. Chen. 2012. “An Improved Approach for Constructing Lower Confidence Bound on Process Yield.” European Journal of Industrial Engineering 6 (3): 369–390.10.1504/EJIE.2012.046667
   Web of Science ®Google Scholar
• Wu, C. W., M. Y. Liao, and T. T. Yang. 2013. “Efficient Methods for Comparing Two Process Yields – Strategies on Supplier Selection.” International Journal of Production Research 51 (5): 1587–1602.10.1080/00207543.2012.718450
   Web of Science ®Google Scholar
• Wu, C. W., W. L. Pearn, and S. Kotz. 2009. “An Overview of Theory and Practice on Process Capability Indices for Quality Assurance.” International Journal of Production Economics 117 (2): 338–359.10.1016/j.ijpe.2008.11.008
   Web of Science ®Google Scholar
• Wu, C. W., M. H. Shu, W. L. Pearn, and K. H. Liu. 2008. “Bootstrap Approach for Supplier Selection Based on Production Yield.” International Journal of Production Research 46 (18): 5211–5230.10.1080/00207540701278414
   Web of Science ®Google Scholar
• Wu, H. H., and J. J. Swain. 2001. “A Monte Carlo Comparison of Capability Indices When Processes are Non-normally Distributed.” Quality and Reliability Engineering International 17 (3): 219–231.10.1002/(ISSN)1099-1638
   Web of Science ®Google Scholar
• Wu, H. H., J. J. Swain, P. A. Farrington, and S. L. Messimer. 1999. “A Weighted Variance Capability Index for General Non-normal Processes.” Quality and Reliability Engineering International 15: 397–402.10.1002/(ISSN)1099-1638
   Web of Science ®Google Scholar
• Yen, C. H., and W. L. Pearn. 2009. “Select Better Suppliers Based on Manufacturing Precision for Processes with Multivariate Data.” International Journal of Production Research 47 (11): 2961–2974.10.1080/00207540701796985
   Web of Science ®Google Scholar