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A stochastic shift model for economically designed charts constrained by the process stage configuration


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  • Celano, Giovanni
  • De Magalhães, Maysa S.
  • Costa, Antonio F.B.
  • Fichera, Sergio
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    An economic model including the labor resource and the process stage configuration is proposed to design X¯ charts allowing for all the design parameters to be varied in an adaptive way. A random shift size is considered during the economic design selection. The results obtained for a benchmark of 64 process stage scenarios show that the activities configuration and some process operating parameters influence the selection of the best control chart strategy; to model the random shift size, its exact distribution can be approximately fitted by a discrete distribution obtained from a relatively small sample of historical data. However, an accurate estimation of the inspection costs associated to the SPC activities is far from being achieved. An illustrative example shows the implementation of the proposed economic model in a real industrial case.

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    Bibliographic Info

    Article provided by Elsevier in its journal International Journal of Production Economics.

    Volume (Year): 132 (2011)
    Issue (Month): 2 (August)
    Pages: 315-325

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    Handle: RePEc:eee:proeco:v:132:y:2011:i:2:p:315-325

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    Keywords: Statistical quality control Adaptive control charts Process stage Random shift Costs;


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    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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    1. Giovanni Celano, 2009. "Robust design of adaptive control charts for manual manufacturing/inspection workstations," Journal of Applied Statistics, Taylor & Francis Journals, vol. 36(2), pages 181-203.
    2. Wu, Zhang & Shamsuzzaman, M. & Wang, Qinan, 2007. "The cost minimization and manpower deployment to SPC in a multistage manufacturing system," International Journal of Production Economics, Elsevier, vol. 106(1), pages 275-287, March.
    3. Costa, Antonio F. B. & De Magalhaes, Maysa S., 2005. "Economic design of two-stage charts: The Markov chain approach," International Journal of Production Economics, Elsevier, vol. 95(1), pages 9-20, January.
    4. Nenes, George, 2011. "A new approach for the economic design of fully adaptive control charts," International Journal of Production Economics, Elsevier, vol. 131(2), pages 631-642, June.
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    Cited by:
    1. Ou, Yanjing & Wu, Zhang & Tsung, Fugee, 2012. "A comparison study of effectiveness and robustness of control charts for monitoring process mean," International Journal of Production Economics, Elsevier, vol. 135(1), pages 479-490.
    2. Faraz, Alireza & Heuchenne, Cédric & Saniga, Erwin & Foster, Earnest, 2013. "Monitoring delivery chains using multivariate control charts," European Journal of Operational Research, Elsevier, vol. 228(1), pages 282-289.
    3. Liu, Liping & Yu, Miaomiao & Ma, Yizhong & Tu, Yiliu, 2013. "Economic and economic-statistical designs of an X¯ control chart for two-unit series systems with condition-based maintenance," European Journal of Operational Research, Elsevier, vol. 226(3), pages 491-499.
    4. Franco, Bruno Chaves & Celano, Giovanni & Castagliola, Philippe & Costa, Antonio Fernando Branco, 2014. "Economic design of Shewhart control charts for monitoring autocorrelated data with skip sampling strategies," International Journal of Production Economics, Elsevier, vol. 151(C), pages 121-130.


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