Using Adaptive Scheme to Monitoring Dependent Steps with Attributes Data

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Abstract:

The article considers the dependent process steps with attributes data. We explore the monitoring of the dependent process steps with attributes data by using two designed variable sample size and sampling interval cause selecting control charts, and then evaluate their performance by the adjusted average time to signal. Numerical example and simulation study illustrated that the proposed VSSI charts have better performance than the fixed parameters control charts. The proposed VSSI cause selecting charts are thus recommended.

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Advanced Materials Research (Volumes 712-715)

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2534-2537

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June 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] H. I. Patel: Quality control methods for multivariate binomial and Poisson distribution, Technometrics Vol. 15 (1973), p.103 – 112.

DOI: 10.1080/00401706.1973.10489014

Google Scholar

[2] X. S. Lu, M. Xie, T. N.Goh and C. D. Lai: Control chart for multivariate attribute process, International Journal of Production Research Vol. 36 (1998), p.3477 – 3489.

DOI: 10.1080/002075498192166

Google Scholar

[3] S. T. A. Niaki: Skewness Reduction Approach in Multi-Attribute Process Monitoring, Communications in Statistics-Theory and Methods 36 (2007), p.2313 – 2325.

DOI: 10.1080/03610920701215456

Google Scholar

[4] S. T. A. Niaki: Bootstrap method approach in designing multi-attribute control charts, International Journal of Advance Manufacturing Technology Vol. 35 (2006), p.434 – 442.

DOI: 10.1007/s00170-006-0728-7

Google Scholar

[5] J. E. Chin and T. I. Kuo: Control charts for fraction nonconforming in a bivariate binomial process, Journal of Applied Statistic Vol. 37 (2010), p.1717 – 1728.

DOI: 10.1080/02664760903150698

Google Scholar

[6] M. Wade, and W. Woodall: A Review and Analysis of Cause-Selecting Control, Journal of Quality Technology Vol. 25 (1993), p.161–169.

Google Scholar

[7] S. Yang: Optimal process control for multiple processes, Quality and Reliability Engineering International Vol. 14 (1998), p.347 – 355.

Google Scholar

[8] S. Yang, and Y. Chen: Processes control for two failure mechanisms, Journal of Chinese Institute of Industrial Engineer (2003), p.481– 493.

Google Scholar

[9] S.Yang, Dependent processes control for over-adjusted process means, International Journal of Advance Manufacturing Technology (2005), p.109 – 116.

Google Scholar

[10] S. Yang and H. Su: adaptive sampling interval cause-selecting control chart, International Journal of Advanced Manufacturing Technology Vol. 31 (2007), p.1169 – 1180.

DOI: 10.1007/s00170-005-0288-2

Google Scholar

[11] S. Yang and Y. Chen: Controlling Over-adjusted Process Means and Variances Using VSI Cause Selecting Control Charts, Expert System with Application Vol. 36 (2009), p.7170 –7182.

DOI: 10.1016/j.eswa.2008.08.064

Google Scholar

[12] S. Yang, and W. Chen: Monitoring and Diagnosing Dependent Process Steps Using VSI Control Charts, Journal of Statistical Planning and Inference 141(5) (2010), pp.1808-1816.

DOI: 10.1016/j.jspi.2010.11.030

Google Scholar

[13] S. Yang: Process Control Using VSI Cause selecting Control Charts, Journal of Intelligent Manufacturing Vol. 21 (2010), p.853 – 861.

DOI: 10.1007/s10845-009-0261-2

Google Scholar

[14] F. Mosteller, C. Youtz: Tables of the Freeman-Tukey transformations for the binomial and Poisson distributions, Biometrika Vol. 48 (3, 4) (1961), p.433 – 440.

DOI: 10.1093/biomet/48.3-4.433

Google Scholar