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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/60426


    Title: 計數值兩階段相依製程的監控
    Monitoring a two-step dependent process with attribute data
    Authors: 葉金田
    Yeh, Jin Tyan
    Contributors: 楊素芬
    Yang, Su Fen
    葉金田
    Yeh, Jin Tyan
    Keywords: 相依製程
    Date: 2010
    Issue Date: 2013-09-05 15:09:33 (UTC+8)
    Abstract: 本論文探討計數值相依製程的管制方法, 內容如下:
    (1) 當製程資料來自二元二項分配, 以建構二元二項管制區域監控計數值相依製程.
    (2) 當二元計數資料具中度以上相關, 建立選控圖以監控計數值相依製程.
    (3) 若不合格品比率極為微小時, 以二個相依的二項管制圖監控計數值相依製程.
    (4) 建立適應性管制圖以監控計數值相依製程.
    (5) 透過模擬與計算方式, 以平均連串長度及 AATS 來評估並比較以上所提方法的績效.
    Reference: 1. Biswas, A. and Hwang, J.S. (2002), “A New Bivariate Binomial Distribution,” Statistics and Probability Letters, 60, 231-240.
    2. Box, G. E. P., Cox, D. R. (1964), “An Analysis of Transformation,” Journal of Royal Statistic Society, 26, 211-243.
    3. Chiu, J. E. and Kuo, T. I. (2010), “Control Charts for Fraction Nonconforming in a Bivariate Binomial Process,” Journal of Applied Statistic ,37, 1717-1728.
    4. Cinlar, E. (1975), Introduction to Stochastic Process. Prentice-Hall, Englewood Cliffs, NJ.
    5. Costa. A. F. B. (1998), “Joint and R Charts with Variable Parameter,” IIE Transactions, 30, 505-514.
    6. Jiang, W., Au, S. T., Tsui, K. L., and Xie, M., (2002), “Process Monitoring with Univariate and Multivariate C-Charts,” Technical Report, The Logistics Institute, Georgia Teach, and the Logistics Institute - Asia Pacific, National University of Singapore.
    7. Lowery, C. A., and Montgomery, D. C. (1995), “A Review of Multivariate Control
    Charts,” IIE Transactions, 2, 800-810.
    8. Lu, X. S., Xie, M., Goh, T. N. and Lai, C. D. (1998), “Control Chart for Multivariate Attribute Process,” International Journal of Production Research, 36, 3477-3489.
    9. Mandel. B. J. (1969). “The Regression Control Chart,” Journal of Quality Technology, 1, 1-9.
    10. Mukhopadhyay, A. R. (2008), “Multivariate Attribute Control Chart Using Mahalanobis Statistics,” Journal of Applied Statistics, 35, 421-429.
    11. Niaki, S. T. A. (2007), “Skewness Reduction Approach in Multi-Attribute Process Monitoring,” Communications in Statistics-Theory and Methods, 36, 2313-2325.
    12. Niaki, S. T. A. (2006), “Bootstrap Method Approach in Designing Multi-Attribute Control Charts,” International Journal of Advance Manufacturing Technology, 35, 434-442.
    13. Patel, H. I. (1973), “Quality Control Methods for Multivariate Binomial and Poisson Distribution,” Technometrics ,15, 103-112.
    14. Quesenberry, C. P. (1995),” Geometric Q-Charts for High Quality Process,” Journal of Quality Technology, 27, 304-319.
    15. Ryan. T. P., Schwertman, N. C. (1997), “Optimal Limits for Attribute Control Charts” Journal of Quality Technology, 29, 86-96.
    16. Wade, and Woodall, W. (1993), “A Review and Analysis of Cause-Selecting Control,” Journal of Quality Technology, 25, 161-169.
    17. Yang, S. (1998), “Optimal process control for multiple process,” Quality and Reliability Engineering International, 14, 347-355.
    18. Yang, S. (2005), “Dependent Process Control for Over-Adjusted Process Means,” International Journal of Advance Manufacturing Technology, 109-116.
    19. Yang, S. and Su, H. (2006), “Control-Dependent Process Steps Using Variable Sample Size Control Charts”, Applied Stochastic Model in Business and Industry, 22, 503-517.
    20. Yang, S. and Su, H. (2007), “Adaptive Control Scheme for Dependent Process Steps,” International Journal of Loss Prevention and Industrial Process, 20, 15-25
    21. Yang, S. and Yu, Y. (2009), “Using VSI EWMA Control Charts to Monitor Dependent Process,” Expert System and Application, 36, 442-454.
    22. Zhang, G. X. (1984), “A New Type of Control Charts and a Theory of Diagnosis with Control Charts,” World Quality Congress Transactions. American Society for Quality Control, 175-185.
    Description: 博士
    國立政治大學
    統計研究所
    93354505
    99
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0093354505
    Data Type: thesis
    Appears in Collections:[Department of Statistics] Theses

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