A new adaptive control chart for the simultaneous monitoring of the mean and variability of multivariate normal processes. (January 2021)

• Record Type: Journal Article
• Authors: Sabahno, Hamed; Amiri, Amirhossein; Castagliola, Philippe
• Is Part Of: Computers & industrial engineering. Volume 151(2021)
• Publication Date: 2021-01
• Subjects: Adaptive control charts -- Simultaneous monitoring -- Multivariate normal processes -- Single-chart monitoring -- Performance measures -- Markov chains; Engineering -- Data processing -- Periodicals; Industrial engineering -- Periodicals; 620.00285
• DOI: 10.1016/j.cie.2020.106524
• Languages: English
• ISSNs: 0360-8352

Abstract

Highlights: New multivariate control chart for simultaneous monitoring of mean and variability. New adaptive schemes for bivariate and multivariate control charts. A new Markov chain model for computing performance measures. Performance evaluation through extensive simulation runs. Abstract: This paper considers adaptive schemes for the simultaneous monitoring of the mean and variability of a multivariate normal quality characteristic. At first, we extend an already existing bivariate non-adaptive simultaneous control chart to a multivariate one. Then, we develop several adaptive schemes, which will cover both previously bivariate and newly multivariate charts. After having designed adaptive schemes for the multivariate chart, eight performance measures are computed based on the run length, time to signal, number of observations to signal and number of switches to signal and evaluated using a new Markov chain model. With the developed performance measures, non-adaptive and adaptive schemes under different mean, variability, simultaneous shift sizes, and different number of quality characteristics are compared. Our scheme is also compared to one of the best methods available in the literature. A numerical example is also provided in order to demonstrate how the adaptive scheme can be implemented in practice.