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Economic and statistical design of Vp control charts for finite-horizon processes

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  • George Nenes
  • Philippe Castagliola
  • Giovanni Celano

Abstract

In manufacturing environments where the production horizon for a specific product can be limited to a few hours or shifts, statistical process monitoring based on control charts is strategic to cut scrap, rework costs, and meet due dates. In this article, a Markov chain model is proposed to design a fully adaptive Shewhart control chart in a process with finite production horizon. The proposed Markov chain model allows the exact computation of several statistical performance metrics, as well as the expected cost of the monitoring and operation process for any adaptive Shewhart control chart with an unknown but finite number of inspections. Illustrative examples show the implementation of the Vp X‾$\bar{X}$ chart in short runs producing a finite batch of products.

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  • George Nenes & Philippe Castagliola & Giovanni Celano, 2017. "Economic and statistical design of Vp control charts for finite-horizon processes," IISE Transactions, Taylor & Francis Journals, vol. 49(1), pages 110-125, January.
    • Handle: RePEc:taf:uiiexx:v:49:y:2017:i:1:p:110-125
    DOI: 10.1080/0740817X.2016.1206674
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    Cited by:

    1. Perdikis, Theodoros & Celano, Giovanni & Chakraborti, Subhabrata, 2024. "Distribution-free control charts for monitoring scale in finite horizon productions," European Journal of Operational Research, Elsevier, vol. 314(3), pages 1040-1051.

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