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An np control chart for monitoring the mean of a variable based on an attribute inspection

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Listed:
  • Wu, Zhang
  • Khoo, Michael B.C.
  • Shu, Lianjie
  • Jiang, Wei

Abstract

This article proposes a new np control chart, called the npx chart, that employs an attribute inspection (inspecting whether a unit is conforming or nonconforming) to monitor the mean value of a variable x. The distinctive feature of the npx chart is using the statistical warning limits to replace the specification limits for the classification of conforming or nonconforming units. By optimizing the warning limits, the npx chart usually outperforms the X¯ chart on the basis of same inspection cost. In addition, the npx chart often works as a leading indicator of trouble and allows operators to take corrective action before any defective is actually produced.

Suggested Citation

  • Wu, Zhang & Khoo, Michael B.C. & Shu, Lianjie & Jiang, Wei, 2009. "An np control chart for monitoring the mean of a variable based on an attribute inspection," International Journal of Production Economics, Elsevier, vol. 121(1), pages 141-147, September.
    • Handle: RePEc:eee:proeco:v:121:y:2009:i:1:p:141-147
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    References listed on IDEAS

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    1. Chen, Shun-Hsing & Yang, Ching-Chow & Lin, Wen-Tsann & Yeh, Tsu-Ming, 2008. "Performance evaluation for introducing statistical process control to the liquid crystal display industry," International Journal of Production Economics, Elsevier, vol. 111(1), pages 80-92, January.
    2. Machado, Marcela A.G. & Costa, Antonio F.B., 2008. "The double sampling and the EWMA charts based on the sample variances," International Journal of Production Economics, Elsevier, vol. 114(1), pages 134-148, July.
    3. Zhang, Cai Wen & Xie, Min & Goh, Thong Ngee, 2008. "Economic design of cumulative count of conforming charts under inspection by samples," International Journal of Production Economics, Elsevier, vol. 111(1), pages 93-104, January.
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    Cited by:

    1. Du, Shichang & Lv, Jun, 2013. "Minimal Euclidean distance chart based on support vector regression for monitoring mean shifts of auto-correlated processes," International Journal of Production Economics, Elsevier, vol. 141(1), pages 377-387.
    2. Zhou, Wenhui & Lian, Zhaotong, 2011. "Optimum design of a new VSS-NP chart with adjusting sampling inspection," International Journal of Production Economics, Elsevier, vol. 129(1), pages 8-13, January.
    3. Ho, Linda Lee & Aparisi, Francisco, 2016. "ATTRIVAR: Optimized control charts to monitor process mean with lower operational cost," International Journal of Production Economics, Elsevier, vol. 182(C), pages 472-483.
    4. Lee Ho, Linda & Quinino, Roberto Costa, 2013. "An attribute control chart for monitoring the variability of a process," International Journal of Production Economics, Elsevier, vol. 145(1), pages 263-267.
    5. 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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