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Discussion of "Recent Advances in Process Monitoring: Nonparametric and Variable-Selection Methods for Phase I and Phase II"

Summary: This article is a commentary on an article by Giovanna Capizzi, “Recent Advances in Process Monitoring: Nonparametric and Variable-Selection Methods for Phase I and Phase II,” Quality Engineering, Volume 27, Number 1 (January 2015), pages 44-67. Yashchin first gives a brief summary of the statistical process monitoring (SPM) experience of his colleagues and himself in IBM applications. He then relates that experience to the issues covered in the article by Capizzi. Yashchin and his IBM colleagues found that in the massive data environment, statistical process monitoring (SPM) can benefit greatly from more analytically advanced procedures. The conventional procedures based on the Western Electric Handbook tend to be quite difficult to use in this environment, especially in conjunction with its collection of rules that do not enable effective control of false alarms while maintaining the desired levels of sensitivity. The general approach to the SPM was based on use of cumulative sum (CUSUM)-Shewhart technique; this framework proved to be extensible to general data structures and well received by technical personnel.

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  • Topics: Statistical Process Control (SPC)
  • Keywords: Monitoring, Nonparametric methods, Control charts, Multivariate control charts, Distribution-free procedures, Statistical process control (SPC), Shewhart control chart, Variable selection, Cumulative sum control chart (CUSUM)
  • Author: Yashchin, Emmanuel;
  • Journal: Quality Engineering