Online monitoring of autocorrelated multivariate linear profiles via multivariate mixed models. Issue 3 (4th May 2022)

• Record Type: Journal Article
• Authors: Khalili, Somayeh; Noorossana, Rassoul
• Is Part Of: Quality technology & quantitative management. Volume 19:Issue 3(2022)
• Page Start: 319
• Page End: 340
• Publication Date: 2022-05-04
• Subjects: Multivariate exponential weighted moving average covariance (MEWMC) chart -- multivariate linear mixed model (MLMM) -- multivariate multiple linear profiles (MMLP) -- phase II -- within-profile correlation (WPC); Quality control -- Periodicals; Quality control -- Statistical methods -- Periodicals; Industrial management -- Periodicals; Industrial management; Management -- Research -- Methodology -- Periodicals; Qualitative research -- Periodicals; Management; Quality control; Quality control -- Statistical methods; Periodicals; 658.00721
• DOI: 10.1080/16843703.2021.2015834
• Languages: English
• ISSNs: 1684-3703

Abstract

ABSTRACT: Multivariate multiple profile monitoring has been studied extensively over the past few years. Most of these studies assumed that the observations are uncorrelated, which could be violated in practice. In this paper, multivariate linear mixed model is proposed to allow correlation among observations of the multivariate multiple linear profiles. In order to monitor random effects and process variability in phase II, three control charts are suggested. The results of performance comparisons with an existing method show the superiority of the proposed control chart. Finally, the applicability of the proposed method is illustrated using a real case.