Paper Info
Title
Enhanced Directionally Sensitive And Directionally Invariant Mcusum And Mewma Charts For Process Mean
Abstract
Control charts with an appropriate use of auxiliary information based (AIB) strategies have shown improved run length performances compared with control charts without this feature. In this article, by adopting an AIB estimator, enhanced directionally sensitive and directionally invariant MCUSUM and MEWMA charts for monitoring the mean vector of a process that follows a multivariate normal distribution are proposed. The proposed AIB directionally sensitive and directionally invariant MCUSUM and MEWMA charts surpass their existing basic counterparts, in terms of the average run length (ARL), median run length (MRL) and standard deviation of the run length (SDRL) performances obtained via the Monte Carlo simulation approach. In general, it is found that the directionally sensitive charts outperform their directionally invariant counterparts in detecting shifts in the process mean vector, in terms of the ARL, MRL and SDRL criteria. A real dataset is considered to demonstrate the implementation of the existing and proposed charts.
Year
DOI
Venue
2021
10.1016/j.cie.2021.107635
COMPUTERS & INDUSTRIAL ENGINEERING
Keywords
DocType
Volume
Auxiliary information, Average run length, Directionally sensitive, Monte Carlo simulation, Process mean vector, Statistical Process Control
Journal
161
ISSN
Citations 
PageRank 
0360-8352
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Abdul Haq16318.42
Michael B. C. Khoo228249.97