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Research Article

Robust yield test for a normal production process

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References

  • Afshari, R., B. Sadeghpour Gildeh, and A. Ahmadi Nadi. 2020. A modified method on estimating and assessing the process yield with imprecise multiple characteristics. Iranian Journal of Fuzzy Systems 17 (6):115–31.
  • Aslam, M., G. S. Rao, A. H. Al-Marshadi, L. Ahmad, and C. H. Jun. 2019. Control charts for monitoring process capability index using median absolute deviation for some popular distributions. Processes 7 (5):287. doi:10.3390/pr7050287.
  • Bellio, R., and L. Ventura. 2005. An introduction to robust estimation with R functions. In Proceedings of the 1st international workshop on robust statistics and R. Treviso: Department of Statistics, Ca’Foscari University (Venezia), 1(5), 1–57.
  • Besseris, G. 2014. Robust process capability performance: An interpretation of key indices from a nonparametric viewpoint. The TQM Journal 26 (5):445–62. doi:10.1108/TQM-03-2013-0036.
  • Box, G. E. P., and D. R. Cox. 1964. An Analysis of Transformations (with Discussion). Journal of the Royal Statistical Society, Series B 26 (2):211–43. doi:10.1111/j.2517-6161.1964.tb00553.x.
  • Boyles, R. A. 1991. The Taguchi capability index. Journal of Quality Technology 23 (1):17–26. doi:10.1080/00224065.1991.11979279.
  • Boyles, R. A. 1994. Process capability with asymmetric tolerances. Communications in Statistics-Simulation and Computation 23 (3):615–35. doi:10.1080/03610919408813190.
  • Clements, J. A. 1989. Process capability calculations for non-normal distributions. Quality Progress 22:95–100.
  • Ferguson, T. S. 1996. A course in large sample theory. New York, USA: Chapman and Hall/CRC.
  • Hampel, F. R. 1974. The influence curve and its role in robust estimation. Journal of the American Statistical Association 69 (346):383–93. doi:10.1080/01621459.1974.10482962.
  • Iranmanesh, H., A. Parchami, and B. Sadeghpour Gildeh. 2022. Statistical testing quality and its Monte Carlo simulation based on fuzzy specification limits. Iranian Journal of Fuzzy Systems 19 (3):1–17.
  • Iranmanesh, H., A. Parchami, and M. Jabbari Nooghabi. 2023. Testing capability index Cpk with its application in automobile engine manufacturing industry. Quality Engineering 35 (1):48–55. doi:10.1080/08982112.2022.2087042.
  • Jabbari Nooghabi, M. 2020. Process capability indices in normal distribution with the presence of outliers. Journal of Applied Statistics 47 (13-15):2443–78. doi:10.1080/02664763.2020.1796934.
  • Kane, V. E. 1986. Process capability indices. Journal of Quality Technology 18 (1):41–52. doi:10.1080/00224065.1986.11978984.
  • Lee, J. C., H. N. Hung, W. L. Pearn, and T. L. Kueng. 2002. On the distribution of the estimated process yield index Spk. Quality and Reliability Engineering International 18 (2):111–6. doi:10.1002/qre.450.
  • Naya, S., A. Devia-Rivera, J. Tarrío-Saavedra, and M. Flores. 2016. New robust capability ratios approaches for quality control. Dyna 83 (198):94–101. doi:10.15446/dyna.v83n198.49930.
  • Parchami, A., H. Iranmanesh, and B. Sadeghpour Gildeh. 2022. Monte Carlo statistical test for fuzzy quality. Iranian Journal of Fuzzy Systems 19 (1):115–24.
  • Pearn, W. L., and C. C. Chuang. 2004. Accuracy analysis of the estimated process yield based on Spk. Quality and Reliability Engineering International 20 (4):305–16. doi:10.1002/qre.544.
  • Pearn, W. L., and S. Kotz. 2006. Encyclopedia and handbook of process capability indices: A comprehensive exposition of quality control measures. Singapore: World Scientific.
  • Pearn, W. L., and Y. C. Cheng. 2010. Measuring production yield for processes with multiple characteristics. International Journal of Production Research 48 (15):4519–36. doi:10.1080/00207540903036313.
  • Pearn, W. L., F. K. Wang, and C. H. Yen. 2006. Measuring production yield for processes with multiple quality characteristics. International Journal of Production Research 44 (21):4649–61. doi:10.1080/00207540600589119.
  • Prasad, S., and T. Bramorski. 1998. Robust process capability indices. Omega 26 (3):425–35. doi:10.1016/S0305-0483(97)00075-3.
  • Rousseeuw, P. J., and C. Croux. 1993. Alternatives to the median absolute deviation. Journal of the American Statistical Association 88 (424):1273–83. doi:10.1080/01621459.1993.10476408.
  • Scrucca, L. 2004. qcc: An R package for quality control charting and statistical process control. R News 4 (1):11–7.
  • Tong, L. I., and J. P. Chen. 2003. Bootstrap confidence interval of the difference between two process capability indices. The International Journal of Advanced Manufacturing Technology 21 (4):249–56. doi:10.1007/s001700300029.
  • Yang, J., S. Rahardja, and P. Fränti. 2019. Outlier detection: How to threshold outlier scores?. In Proceedings of the International Conference on Artificial Intelligence, Information Processing and Cloud Computing, Sanya, China, 1–6.

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