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On‐line evaluation of the stability of an inspection process

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  • Isabel González
  • Ismael Sánchez

Abstract

This article proposes control charts to monitor an inspection process based on the defective proportion of the inspected parts. The focus is on inspection process where the incoming parts form a sequence of independent units, such as unrelated clients arriving at a service facility. An example of this kind of inspection process is the periodic motor vehicle (PMVI) inspection. The effectiveness of the proposed control is evaluated using Monte Carlo experiments and is applied to an actual PMVI station. Copyright © 2009 John Wiley & Sons, Ltd.

Suggested Citation

  • Isabel González & Ismael Sánchez, 2009. "On‐line evaluation of the stability of an inspection process," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 25(6), pages 719-736, November.
  • Handle: RePEc:wly:apsmbi:v:25:y:2009:i:6:p:719-736
    DOI: 10.1002/asmb.755
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    References listed on IDEAS

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    1. Hans-Joachim Mittag & Dietmar Stemann, 1998. "Gauge imprecision effect on the performance of the X-S control chart," Journal of Applied Statistics, Taylor & Francis Journals, vol. 25(3), pages 307-317.
    2. Petros Maravelakis & John Panaretos & Stelios Psarakis, 2004. "EWMA Chart and Measurement Error," Journal of Applied Statistics, Taylor & Francis Journals, vol. 31(4), pages 445-455.
    3. O. Grigg & V. Farewell, 2004. "An overview of risk‐adjusted charts," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 167(3), pages 523-539, August.
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