On Generalizing Process Capability Indices

References

• Basu, A. P. (1964). Estimates of reliability for some distributions useful in life testing, Technometrics, 6, 215–219.
   Google Scholar
• Borges, W. and Ho, L. L. (2001). A fraction defective based capability index, Quality and Reliability Engineering International, 17, 447–458.
   Google Scholar
• Boyles, R. A. (1994). Process capability with asymmetric tolerances, Communications in Statistics — Simulation and Computation, 23, 613–643.
   Google Scholar
• Carr, W. A. (1991). A new Process capability index: parts per million, Quality Progress, 24(8), 152.
   Google Scholar
• Castagliola, P. (1996). Evaluation of non-normal process capability indices using Burr’s distribution, Quality Engineering, 8, 587–593.
   Google Scholar
• Choi, B. C. and Owen, D. B. (1990). A study of a new process capability index, Communications in Statistics — Theory and Methods, 19, 1232–1245.
   Google Scholar
• Chou, Y.-M. and Polansky, A. M. (1996). Fitting SPC data using a sample quantile ratio, Proceedings of the Section on Quality and Productivity, American Statistical Association, 9–16.
   Google Scholar
• Chou, Y.-M., Polansky, A. M. and Mason, R. L. (1998). Transforming non-normal data to normality in statistical process control, Journal of Quality Technology, 30, 133–141.
   Google Scholar
• Ciarlini, P., Gigli, A. and Regoliosi, G. (1999). The computation of accuracy of quality parameters by means of a Monte Carlo simulation, Communications in Statistics-Simulation and Computation, 28, 821–848.
   Google Scholar
• Clements, J. A. (1989). Process capability calculations for non-normal distributions, Quality Progress, 22, 95–100.
   Google Scholar
• Constable, G. K. and Hobbs, J. B. (1992). Small samples and non-normal capability, ASQC Quality Congress Transactions — Nashville, 37–43.
   Google Scholar
• Farnum, N. R. (1996). Using Johnson curves to describe non-normal process data, Quality Enginering, 9, 329–336.
   Google Scholar
• Flaig, J. J. (1996). A new approach to process capability analysis, Quality Engineering, 9, 205–211.
   Google Scholar
• Flaig, J. J. (1999). Process capability sensitivity analysis, Quality Engineering, 11, 587–592.
   Google Scholar
• Gunter, B. (1989). The Use and Abuse of C pk : Part 2, Quality Progress, 22(3), 108–109.
   Google Scholar
• Hsiang, T. C. and Taguchi, G. (1985). Tutorial on quality control and assurance — The Taguchi Methods, Joint Meeting of the American Statistical Association, Las Vegas, Nevada, 188.
   Google Scholar
• Juran, J. M. (1974). Juran’s Quality Control Handbook, 3rd ed. McGraw-Hill, New York, USA.
   Google Scholar
• Kaminsky, F. C., Dovich, R. A. and Burke, R. J. (1998). Process capability indices: now and in the future, Quality Progress, 10, 445–453.
   Google Scholar
• Kane, V. E. (1986). Process capability indices, Journal of Quality Technology, 18, 41–52.
   Google Scholar
• Kotz, S. and Johnson, N. L. (1993). Process Capability Indices, Chapman and Hall, London, UK.
   Google Scholar
• Kotz, S. and Johnson, N. L. (2002). Process capability indices — a review, Journal of Quality Technology, 34(1), 2–19.
   Google Scholar
• Kotz, S. and Lovelace, C. (1998). Introduction to Process Capability Indices, Arnold, London, UK.
   Google Scholar
• Latzko, W. J. (1985). Process capability in administrative applications, ASQC Quality Congress Transactions — Baltimore, 168–173.
   Google Scholar
• Mukherjee, S. P. (1995). Process capability indices and associated inference problems, Proceedings of the International Conference on Statistical Methods and Statistical Computation, Seoul, South Korea, 243–249.
   Google Scholar
• Ng, K. K. and Tsui, K. L. (1992). Expressing variability and yield with a focus on the customer, Quality Engineering, 5, 255–267.
   Google Scholar
• Pal, S. (2005). Evaluation of normal process capability indices using generalized lambda Distribution, Quality Engineering, 17, 77–85.
   Google Scholar
• Pearn, W. L. and Chen, K. S. (1995). Estimating process capability indices for non-normal Pearsonian populations, Quality and Reliability Engineering International, 11, 389–391.
   Google Scholar
• Pearn, W. L. and Kotz, S. (1994–95). Application of Clements’ method for calculating second-and third-generation process capability indices for non-normal Pearsonian populations, Quality Engineering, 7, 139–145.
   Google Scholar
• Pearn, W. L., Kotz, S. and Johnson, N. L. (1992). Distributional and inferential properties of process capability indices, Journal of Quality Technology, 24, 216–231.
   Google Scholar
• Perakis, M. and Xekalaki, E. (2002). A process capability index that is based on the proportion of conformance, Journal of Statistical Computation and Simulation, 72(9), 707–718.
   Google Scholar
• Perakis, M. and Xekalaki, E. (2005): A process capability index for discrete processes, Journal of Statistical Computation and Simulation, 75(3), 175–187.
   Google Scholar
• Polansky, A. M. (1998). A smooth nonparametric approach to process capability, Quality and Reliability Engineering International, 14, 43–48.
   Google Scholar
• Polansky, A. M. (2001). A smooth nonparametric approach to multivariate process capability, Technometrics, 43, 199–211.
   Google Scholar
• Polansky, A. M., Chou, Y.-M. and Mason, R. L.(1998). Estimating process capability indices for a truncated distribution, Quality Engineering, 11, 257–265.
   Google Scholar
• Rodriguez, R. N. (1992). Recent developments in process capability analysis, Journal of Quality Technology, 24, 176–187.
   Google Scholar
• Schneider, H., Pruett, J. and Lagrange, C. (1995). Uses of process capability indices in the supplier certification process, Quality Engineering, 8(2), 225–235.
   Google Scholar
• Spiring, F., Leung, B., Cheng, S. and Yeung, A. (2003). A bibliography of process capability papers, Quality and Reliability Engineering International, 19(5), 445–460.
   Google Scholar
• Tsui, K. L. (1997). Interpretation of process capability indices and some alternatives, Quality Engineering, 9, 587–596.
   Google Scholar
• Vannman, K. (1997). A general class of capability indices in the case of asymmetric tolerances, Communications in Statistics — Theory and Methods, 26, 2049–2072.
   Google Scholar
• Vannman, K. (1998). Families of capability indices for one-sided specification limits, Statistics, 31, 43–66.
   Google Scholar
• Yeh, A. B. and Bhattacharya, S. (1998). A robust process capability index, Communications in Statistics — Simulation and Computation, 27(2), 565–589.
   Google Scholar