On PM t chart for monitoring changes in location parameter

Muhammad Kamran Sajjad; Dequan Li; M. Wasim Amir; Ayesha Selhaba

doi:10.1117/12.2660712

3 February 2023 On PM t chart for monitoring changes in location parameter

Muhammad Kamran Sajjad, Dequan Li, M. Wasim Amir, Ayesha Selhaba

Proceedings Volume 12511, Third International Conference on Computer Vision and Data Mining (ICCVDM 2022); 125111H (2023) https://doi.org/10.1117/12.2660712
Event: Third International Conference on Computer Vision and Data Mining (ICCVDM 2022), 2022, Hulun Buir, China

Abstract

The Progressive Mean (PM) control chart is a widely recognized tool to notice the insignificant and standard variations in the process location parameter. There is one deficiency in PM chart, it generates signals which are out of control, and when the standard deviation is processed this deficiency changes the results. To overcome this problem, we proposed a method in case of not stable process stand deviation chart is used, which enables monitoring of process which is more robust in this case. The suggested chart is a participant for and charts. The numerical results concluded that the performance of the proposed chart is superior to detect small-scale and standard changes in the process parameter. To support the study an expressive application is also provided.

Citation Download Citation

Muhammad Kamran Sajjad, Dequan Li, M. Wasim Amir, and Ayesha Selhaba "On PM t chart for monitoring changes in location parameter", Proc. SPIE 12511, Third International Conference on Computer Vision and Data Mining (ICCVDM 2022), 125111H (3 February 2023); https://doi.org/10.1117/12.2660712

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