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Control of production processes subjectto random shocks

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  • E. Collani

Abstract

Quality of industrial production processes may suffer from wear‐out phenomena continuouslygrowing in time, and from sudden disturbances occurring at random time. Either ofthem affects process quality and thus process yield. Consequently, there should be counter‐actions,which aim to remove signs of wear before they result in a decrease of processyield on the one hand, and which detect disturbances before their impact has become serious.In this paper, it is assumed that the wear‐out phenomena are sufficiently compensated bymeans of continuous maintenance. It remains to determine an appropriate monitoring policyin order to detect disturbances. A unified economic approach is proposed and investigated,including different modes of process monitoring together with a decision function reactingsimultaneously on shifts in the process mean and process variability. Copyright Kluwer Academic Publishers 1999

Suggested Citation

  • E. Collani, 1999. "Control of production processes subjectto random shocks," Annals of Operations Research, Springer, vol. 91(0), pages 289-304, January.
  • Handle: RePEc:spr:annopr:v:91:y:1999:i:0:p:289-304:10.1023/a:1018958025278
    DOI: 10.1023/A:1018958025278
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    Citations

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    Cited by:

    1. von Collani Elart & Baur Karl, 2002. "Prediction Intervals, Tolerance Intervals and Standards in Quality Control - Part 1," Stochastics and Quality Control, De Gruyter, vol. 17(1), pages 81-98, January.
    2. Muhammad Faqir & Riaz Muhammad, 2006. "Probability Weighted Moments Approach to Quality Control Charts," Stochastics and Quality Control, De Gruyter, vol. 21(2), pages 251-260, January.
    3. Reza Ahmadi, 2014. "Optimal maintenance scheduling for a complex manufacturing system subject to deterioration," Annals of Operations Research, Springer, vol. 217(1), pages 1-29, June.
    4. Turnes Osiris & Lee Ho Linda & Imaña Christian Rainier, 2002. "Comparison of Semi-Economic and -R Control Charts for Non-Ageing and Ageing Process," Stochastics and Quality Control, De Gruyter, vol. 17(1), pages 99-112, January.
    5. Thaga K. & Kgosi P. M. & Gabaitiri L., 2007. "Max-Chart for Autocorrelated Processes," Stochastics and Quality Control, De Gruyter, vol. 22(1), pages 87-105, January.

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