Journal of Korean Institute of Industrial Engineers (대한산업공학회지)

Korean Institute of Industrial Engineers (대한산업공학회)
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Performance and Robustness of Control Charting Methods for Autocorrelated Data

  • Chin, Chang-Ho (School of Mechanical and Industrial Systems Engineering, Kyung Hee University) ;
  • Apley, Daniel W. (Department of Industrial Engineering and Management Sciences, Northwestern University)
  • Published : 2008.06.30
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Abstract

With the proliferation of in-process measurement technology, autocorrelated data are increasingly common in industrial SPC applications. A number of high performance control charting techniques that take into account the specific characteristics of the autocorrelation through time series modeling have been proposed over the past decade. We present a survey of such methods and analyze and compare their performances for a range of typical autocorrelated process models. One practical concern with these methods is that their performances are often strongly affected by errors in the time series models used to represent the autocorrelation. We also provide some analytical results comparing the robustness of the various methods with respect to time series modeling errors.

Keywords

Acknowledgement

Supported by : Kyung Hee University

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