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Optimal variable sample size and sampling interval ‘mean squared error’ chart

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  • Chih-Ching Yang
  • Su-Fen Yang

Abstract

The deployment of statistical process control in the service process is a prominent global phenomenon in recent years. In this paper, we proposed the optimal variable sample size and sampling interval (VSSI) mean square error (MSE) control chart to monitor the difference between the process mean and the target value and the process variation shifts, and its performance is measured by the average time to signal. From data analyses, we found the optimal VSSI MSE chart that performs better than the specific VSSI and the optimal variable sampling interval and the fixed parameters MSE charts. An example was given to illustrate this new proposed approach.

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  • Chih-Ching Yang & Su-Fen Yang, 2013. "Optimal variable sample size and sampling interval ‘mean squared error’ chart," The Service Industries Journal, Taylor & Francis Journals, vol. 33(6), pages 652-665, May.
    • Handle: RePEc:taf:servic:v:33:y:2013:i:6:p:652-665
    DOI: 10.1080/02642069.2011.614345
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    Cited by:

    1. Lim, S.L. & Khoo, Michael B.C. & Teoh, W.L. & Xie, M., 2015. "Optimal designs of the variable sample size and sampling interval X¯ chart when process parameters are estimated," International Journal of Production Economics, Elsevier, vol. 166(C), pages 20-35.

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