Phase I Monitoring of Multivariate Ordinal based Processes: The MR and LRT Approaches (A real case study in drug dissolution process)

Message:
Article Type:
Case Study (دارای رتبه معتبر)
Abstract:

In some statistical processes monitoring (SPM) applications, relationship between two or more ordinal factors is shown by an ordinal contingency table (OCT) and it is described by the ordinal Log-linear model (OLLM). Newton-Raphson algorithm methods have also been used to estimate the parameters of the log-linear model. In this paper, the OLLM based processes is monitored using MR and likelihood ratio test (LRT) approaches in Phase I. Some simulation studies are applied to performance evaluation of the proposed approaches in terms of probability of signal under step shifts, drifts and the presence of outliers. Results show that, by imposing the small and moderate shifts in the ordinal log-linear model parameters, the MR statistic has better performance than LRT. In addition, a real case study in dissolution testing in pharmaceutical industry is employed to show the application of the proposed control charts in Phase I.

Language:
English
Published:
International Journal of Industrial Engineering and Productional Research, Volume:33 Issue: 1, Mar 2022
Page:
6
https://www.magiran.com/p2417953  
سامانه نویسندگان
  • Hiwa Farughi
    Corresponding Author (2)
    Professor Department of Engineering, University Of Kurdistan, Sanandaj, Iran
    Farughi، Hiwa
  • Amirhossein Amiri
    Author (3)
    Professor Industrial Engineering, Shahed University, Tehran, Iran
    Amiri، Amirhossein
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