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베타-이항모형을 이용한 과산포 공정용 p관리도의 개발

Development of a p Control Chart for Overdispersed Process with Beta-Binomial Model

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키워드

주제분류학제간연구

초록

Purpose: Since traditional p chart is unable to deal with the variation of attribute data, this paper proposes a new attribute control chart for nonconforming proportions incorporating overdispersion with a beta-binomial model. Methods: Statistical theories for control chart developed under the beta-binomial model and a new approach using this control chart are presented Results: False alarm probabilities of p chart with the beta-binomial model are evaluated and demerits of p chart under overdispersion are discussed from three examples. Hence a concrete procedure for the proposed control chart is provided and illustrated with examples Conclusion: The proposed chart is more useful than traditional p chart, individual chart to treat observed proportions nonconforming as variable data and Laney p′ chart.

Abstract

Purpose: Since traditional p chart is unable to deal with the variation of attribute data, this paper proposes a new attribute control chart for nonconforming proportions incorporating overdispersion with a beta-binomial model. Methods: Statistical theories for control chart developed under the beta-binomial model and a new approach using this control chart are presented Results: False alarm probabilities of p chart with the beta-binomial model are evaluated and demerits of p chart under overdispersion are discussed from three examples. Hence a concrete procedure for the proposed control chart is provided and illustrated with examples Conclusion: The proposed chart is more useful than traditional p chart, individual chart to treat observed proportions nonconforming as variable data and Laney p′ chart.

참고문헌 (21)

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  3. Ennis, Daniel M., "The Beta-Binomial Model : Accounting for Intertrial Variation in Replicated Difference and Preference Tests", Journal of Sensory Studies, 13, pp.389~412 (1998)
  4. Garren, Steven T., "On a Likelihood-Based Goodness-of-Fit Test of the Beta-Binomial Model", Biometrics, 56, pp.947~949 (2000)
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  7. Kleinman, Joel C, "Proportions with Extraneous Variance : Single and Independent Samples", Journal of American Statistical Association, 68, pp.46~54 (1973)
  8. Laney, David B., "Improved Control Charts for Attributes", Quality Engineering, 14, pp.531~537 (2002)
  9. Liang, Kung-Yee, "Case Studies in Binary Dispersion", Biometrics, 49, pp.623~630 (1993)
  10. "Minitab 17 Statistical Software" (2014)[URL]
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  12. Mohammed, Mohammed A., "Statistical Process Control Charts for Attribute Data Involving Very Large Sample Sizes : a Review of Problems and Solutions", BMJ Quality and Safety, 22, pp.362~368 (2013)
  13. Mohammed, Mohammed A., "Plotting Basic Control Charts : Tutorial Notes for Healthcare Practitioners", BMJ Quality and Safety, 17, pp.137~145 (2008)
  14. Moore Dirk F, "Modeling the Extraneous Variance in the Presence of Extra-Binomial Variation", Applied Statistics, 36, pp.8~14 (1987)
  15. Quarshie, B. L., "A Comparison of Operating Characteristics of the and the Charts", Quality Engineering, 9, pp.221~228 (1996)
  16. Ryan, Thomas P., "Statistical Methods for Quality Improvement" (2011), John Wiley & Son
  17. Raubenheimer, L., "Bayesian Process Control for the Phase II Shewart-Type p-Chart", Quality Technology and Quantitative Management, 13, pp.453~472 (2016)
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  19. Wheeler, Donald J., "Understanding Statistical Process Control" (2001), SPC Press
  20. Woodall, William H, "Control Charts Based on Attribute Data : Bibliography and Review", Journal of Quality Technology, 29, pp.172~183 (1997)
  21. Yinong Young-Xu, "Pooling overdispersed binomial data to estimate event rate", BMC Medical Research Methodology, 8(1) (2008), Springer Nature[DOI]

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