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A novel efficient control chart to monitor the mean vector and variance-covariance matrix using support vector machine and tuned kernel function
Azar, Amir; Raissi, Sadigh - In: International journal of services and operations … 43 (2022) 1, pp. 52-71
Persistent link: https://www.econbiz.de/10013552864
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The bivariate dispersion control charts for non-normal processes
Saghir, Amir - In: International journal of production research 53 (2015) 7, pp. 1964-1979
Persistent link: https://www.econbiz.de/10010510170
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Distribution-free multivariate time-series monitoring with analytically determined control limits
Liu, Di; Kim, Heeseon; Kim, Seong-Hee; Kim, Taeheung; … - In: International journal of production research 61 (2023) 20, pp. 6960-6977
Persistent link: https://www.econbiz.de/10014383268
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On bivariate control charts for the mean of autocorrelated process
Gorgin, Vahideh; Gildeh, Bahram Sadeghpour; Sarmad, Majid; … - In: International journal of productivity and quality … 32 (2021) 1, pp. 72-91
Persistent link: https://www.econbiz.de/10012516409
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An image-based multivariate generalized likelihood ratio control chart for detecting and diagnosing multiple faults in manufactured products
He, Zhen; Zuo, Ling; Zhang, Min; Megahed, Fadel M. - In: International journal of production research 54 (2016) 5/6, pp. 1771-1784
Persistent link: https://www.econbiz.de/10011498194
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An efficient multivariate control charting mechanism based on SPRT
Ou, Yanjing; Chen, Nan; Khoo, Michael B. C. - In: International journal of production research 53 (2015) 7, pp. 1937-1949
Persistent link: https://www.econbiz.de/10010510179
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Multivariate statistical process control charts based on the approximate sequential x² test
Kim, J.; Al-Khalifa, K. N.; Jeong, M. K.; Hamouda, A. M. S. - In: International journal of production research 52 (2014) 18, pp. 5514-5527
Persistent link: https://www.econbiz.de/10010419556
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Multivariate control charts that combine the Hotelling T² and classification algorithms
Pak, Sŏng-hun; Kim, Seoung Bum - In: Journal of the Operational Research Society 70 (2019) 6, pp. 889-897
Persistent link: https://www.econbiz.de/10012213021
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Multivariate process monitoring and fault identification using multiple decision tree classifiers
He, Shuguang; Wang, Gang Alan; Zhang, Min; Cook, Deborah F. - In: International journal of production research 51 (2013) 11, pp. 3355-3371
Persistent link: https://www.econbiz.de/10009774521
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A nonparametric CUSUM scheme for monitoring multivariate time-between-events-and-amplitude data with application to automobile painting
He, Zhen; Gao, Yuan; Qu, Liang; Wang, Zhiqiong - In: International journal of production research 60 (2022) 18, pp. 5432-5449
Persistent link: https://www.econbiz.de/10013500739