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A chart allocation strategy for multistage processes

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  • Ming Jin
  • Fugee Tsung

Abstract

Statistical Process Control (SPC) in multistage manufacturing has attracted a great deal of attention recently. Applying conventional SPC methods in a multistage environment may not work well because these methods do not consider the inherent structure of the process, such as the interrelationship information between stages. In this paper, a strategy is proposed to properly allocate control charts in a multistage process in order to enhance the fast detection of out-of-control behaviors of conventional SPC. Based on the proposed chart allocation strategy, inherent structural information is involved in decision making to achieve quicker detection of a potential fault. Two automotive assembly examples are used to demonstrate the applications of the chart allocation strategy. The impact of uncertainty in the structural parameters is also considered, which may allow practitioners to make more realistic decisions in multistage manufacturing processes.

Suggested Citation

  • Ming Jin & Fugee Tsung, 2009. "A chart allocation strategy for multistage processes," IISE Transactions, Taylor & Francis Journals, vol. 41(9), pages 790-803.
    • Handle: RePEc:taf:uiiexx:v:41:y:2009:i:9:p:790-803
    DOI: 10.1080/07408170902789068
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    Cited by:

    1. Jinho Kim & Myong K. Jeong & Elsayed A. Elsayed, 2017. "Monitoring multistage processes with autocorrelated observations," International Journal of Production Research, Taylor & Francis Journals, vol. 55(8), pages 2385-2396, April.

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