Application of the Minimax Control Chartfor multivariate manufacturing process

Journal Title: International Research Journal of Applied and Basic Sciences - Year 2013, Vol 4, Issue 3

Abstract

Process problems can be identified using unnatural control chart patterns (CCPs). Multivariate process control can detect an out-of-control for a variable or group of variables that have caused the out-of-control signal. One of this charts are Minimax control charts. In this research, a performance analysis of three different Minimax control charts is performed with respect to their Chi- Square control chart counterparts. We define each unique control chart by a unique combination of quality characteristic mean vector and associated covariance matrix. To evaluate our approach, we compare the result of the Chi- Square and Minimax charts under different values of the sample size, the probability of a Type I error, and selected shifts. The result shows our proposed approach can improve the result.

Authors and Affiliations

Mohammad Hasan Balali| Department of industrial engineering, KhajehNasir University of Technology, Tehran, Iran, Narjes Nouri| Department of industrial engineering, KhajehNasir University of Technology, Tehran, Iran,narjesnourii@gmail.com, Erfan Pakdamanian| Department of industrial engineering, Islamic Azad University, Tehran branch, Tehran, Iran

Keywords

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  • EP ID EP5365
  • DOI -
  • Views 304
  • Downloads 15

How To Cite

Mohammad Hasan Balali, Narjes Nouri, Erfan Pakdamanian (2013). Application of the Minimax Control Chartfor multivariate manufacturing process. International Research Journal of Applied and Basic Sciences, 4(3), 654-661. https://europub.co.uk/articles/-A-5365