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Monitoring the process mean based on attribute inspection when a small sample is available

Author

Listed:
  • Roberto da Costa Quinino

    (Universidade Federal de Minas Gerais, Belo Horizonte, Brazil)

  • Linda Lee Ho

    (Universidade de São Paulo, São Paulo, Brazil)

  • Anderson Laécio Galindo Trindade

    (Universidade Federal de Minas Gerais, Belo Horizonte, Brazil)

Abstract

This paper proposes a new control chart, denoted by to evaluate the stability of a process mean when a small sample is available. This chart is based on attribute inspection rather than the physical measurements (taken with an instrument, such as a caliper or precision balance) of the quality characteristics of interest of the sampled items. The main goal is to recover measurements on a continuous scale by generating random measurements using the frequencies observed for the sample as inputs. The average sample obtained using these recovery measures () is calculated and used to draw the standard chart. The average sample can be shown to be a mixture of normal distributions. The values of the lower control limit (LCL) and the upper control limit (UCL) are chosen to minimize the average run length (ARL).

Suggested Citation

  • Roberto da Costa Quinino & Linda Lee Ho & Anderson Laécio Galindo Trindade, 2015. "Monitoring the process mean based on attribute inspection when a small sample is available," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 66(11), pages 1860-1867, November.
    • Handle: RePEc:pal:jorsoc:v:66:y:2015:i:11:p:1860-1867
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    Cited by:

    1. Simões, Felipe Domingues & Costa, Antonio Fernando Branco & Machado, Marcela Aparecida Guerreiro, 2020. "The Trinomial ATTRIVAR control chart," International Journal of Production Economics, Elsevier, vol. 224(C).

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