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Phase-II monitoring and diagnosing of multivariate categorical processes using generalized linear test-based control charts

Kamranrad, R ; Sharif University of Technology

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  1. Type of Document: Article
  2. DOI: 10.1080/03610918.2016.1186186
  3. Abstract:
  4. In this paper, two control charts based on the generalized linear test (GLT) and contingency table are proposed for Phase-II monitoring of multivariate categorical processes. The performances of the proposed methods are compared with the exponentially weighted moving average-generalized likelihood ratio test (EWMA-GLRT) control chart proposed in the literature. The results show the better performance of the proposed control charts under moderate and large shifts. Moreover, a new scheme is proposed to identify the parameter responsible for an out-of-control signal. The performance of the proposed diagnosing procedure is evaluated through some simulation experiments. © 2017 Taylor & Francis Group, LLC
  5. Keywords:
  6. Generalized linear test ; Multivariate categorical process ; Control charts ; Flowcharting ; Statistical process control ; Contingency table ; Exponentially weighted moving average ; Generalized Likelihood Ratio test ; Large shifts ; Out-of-control signals ; Phase II monitoring ; Process control
  7. Source: Communications in Statistics: Simulation and Computation ; Volume 46, Issue 8 , 2017 , Pages 5951-5980 ; 03610918 (ISSN)
  8. URL: https://www.tandfonline.com/doi/abs/10.1080/03610918.2016.1186186