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Adaptive Charting Techniques: Literature Review and Extensions

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Frontiers in Statistical Quality Control 9

Summary

The continuous development of SPC is driven by challenges arising from practical applications across diverse industries. Among others, adaptive charts are becoming more and more popular due to their capability in tackling these challenges by learning unknown shifts and tracking time-varying patterns. This chapter reviews recent development of adaptive charts and classifies them into two categories: those with variable sampling parameters and those with variable design parameters. This review focuses on the latter group and compares their charting performance. As an extension to conventional multivariate charts, this work proposes a double-sided directionally variant chart. The proposed chart is capable of detecting shifts having the same or opposite directions as the reference vector and is more robust to processes with unpredictable shift directions.

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Author information

Authors and Affiliations

  1. Department of Industrial Engineering and Logistics Management, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong

    Fujee Tsung

  2. Department of Industrial Engineering, Tsinghua University, Beijing, 100084, P. R. China

    Kaibo Wang

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  1. Fujee Tsung
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  2. Kaibo Wang
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Editor information

Editors and Affiliations

  1. FB Wirtschaftswissenschaft, FU Berlin, Garystr. 21, Berlin, 14195, Germany

    Hans-Joachim Lenz

  2. FB Wirtschaftswissenschaften, FU Berlin, Garystr. 21, Berlin, 14195, Germany

    Peter-Theodor Wilrich

  3. LS für Quantitative Methoden,, Europa-Universität Viadrina, Grosse Scharrnstr. 59, Frankfurt, 15230, Germany

    Wolfgang Schmid

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Tsung, F., Wang, K. (2010). Adaptive Charting Techniques: Literature Review and Extensions. In: Lenz, HJ., Wilrich, PT., Schmid, W. (eds) Frontiers in Statistical Quality Control 9. Physica-Verlag HD. https://doi.org/10.1007/978-3-7908-2380-6_2

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