A high-dimensional control chart for monitoring process variability under gauge imprecision effect
Author:
Publisher
Springer Science and Business Media LLC
Subject
Industrial and Manufacturing Engineering,Mechanical Engineering
Link
https://link.springer.com/content/pdf/10.1007/s11740-022-01166-3.pdf
Reference38 articles.
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2. Abdella GM, Maleki MR, Kim S, Al-Khalifa KN, Hamouda AMS (2020) Phase-I monitoring of high-dimensional covariance matrix using an adaptive thresholding LASSO rule. Comput Ind Eng 144:106465
3. Abdella GM, Kim J, Kim S, Al-Khalifa KN, Jeong MK, Hamouda AM, Elsayed EA (2019) An adaptive thresholding-based process variability monitoring. J Qual Technol 51(3):242–256
4. Ajadi JO, Hung K, Riaz M, Ajadi NA, Mahmood T (2021) On the multivariate progressive control chart for effective monitoring of covariance matrix. Qual Reliab Eng Int. https://doi.org/10.1002/qre.2887 (In Press)
5. Alfaro JL, Ortega JF (2019) A new multivariate variability control chart based on a covariance matrix combination. Appl Stoch Model Bus Ind 35(3):823–836
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