An integrated quality, maintenance and production model based on the delayed monitoring under the ARMA control chart

Few studies have investigated the integration of triple components including statistical process monitoring (SPM), maintenance policy (MP), and economic production quantity (EPQ). Of those, no research is found to monitor autocorrelated data. Moreover, although delayed monitoring (DM) policy was pro...

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Bibliographic Details
Published in:Journal of statistical computation and simulation 2021-09, Vol.91 (13), p.2645-2669
Main Authors: Jafarian-Namin, Samrad, Fallahnezhad, Mohammad Saber, Tavakkoli-Moghaddam, Reza, Salmasnia, Ali, Fatemi Ghomi, Seyyed Mohammad Taghi
Format: Article
Language:English
Subjects:
ARMA chart
delayed monitoring
EPQ
Maintenance policy
particle swarm optimization
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Summary:Few studies have investigated the integration of triple components including statistical process monitoring (SPM), maintenance policy (MP), and economic production quantity (EPQ). Of those, no research is found to monitor autocorrelated data. Moreover, although delayed monitoring (DM) policy was proposed for an integrated model of SPM and MP, it has not been extended by considering EPQ. We propose an integrated model of triple components subject to some constraints, in which the following features are considered: (1) DM policy that postpones the monitoring action until a determinable time to avoid the possible unnecessary costs, and (2) autocorrelation that, if ignored, can lead to a significant influence on the statistical performance of traditional control charts. ARMA control chart is used to monitor the autocorrelated data. Due to the complexity of the model, a particle swarm optimization algorithm is applied to obtain optimal solution(s). An industrial example, some comparisons and sensitivity analysis are provided for more investigations.
ISSN:0094-9655
1563-5163
DOI:10.1080/00949655.2021.1904241