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General Information
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2015 Vol.5(2): 135-139 ISSN: 2010-3697
DOI: 10.7763/IJMO.2015.V5.449

Effectiveness of Conventional CUSUM Control Chart for Correlated Observations

D. R. Prajapati

Abstract—Control charts, one of the important tools of quality control, are also known as Shewhart charts or process behavior charts. Page (1954) was the first, who introduced the Cumulative Sum (CUSUM) control charts for detection of process shifts and claimed that these charts are more efficient compared to Shewhart chart to detect small shifts in the process average. Various schemes of the CUSUM chart for autocorrelated data for sample size of 4 are developed and compared with the schemes of the Shewhart X chart for autocorrelated data. It is found that CUSUM chart outperforms the Shewhart X chart for all the shifts and at all the levels of correlation (Φ) for sample size (n) of four. So, the CUSUM control chart is much better option for faster detection in the process mean.

Index Terms—CUSUM chart, autocorrelated data, in-control ARLs and Out-OF control ARLs.

D. R. Prajapati is with the Department of Mechanical Engineering, PEC University of Technology (Formerly Punjab Engineering College, India (e-mail: prajapatimed@gmail.com).


Cite: D. R. Prajapati, "Effectiveness of Conventional CUSUM Control Chart for Correlated Observations," International Journal of Modeling and Optimization vol. 5, no. 2, pp. 135-139, 2015.

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