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Original Articles

Statistical Process Control Using a Dynamic Sampling Scheme

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Pages 325-335 | Received 01 Dec 2012, Published online: 24 Jul 2014

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Read on this site (16)

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Wenjuan Liang, Xiaolong Pu & Dongdong Xiang. (2017) A distribution-free multivariate CUSUM control chart using dynamic control limits. Journal of Applied Statistics 44:11, pages 2075-2093.
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Wenpo Huang, Lianjie Shu, Junjie Cao & Kwok-Leung Tsui. (2016) Probability distribution of CUSUM charting statistics. IIE Transactions 48:4, pages 324-332.
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Zhi Song, Amitava Mukherjee, Peihua Qiu & Maoyuan Zhou. (2023) Two robust multivariate exponentially weighted moving average charts to facilitate distinctive product quality features assessment. Computers & Industrial Engineering 183, pages 109469.
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Partha Sarathi Mukherjee. 2023. Springer Handbook of Engineering Statistics. Springer Handbook of Engineering Statistics 361 381 .
Vladimir Turetsky & Valery Y. Glizer. (2022) Optimal decision in a Statistical Process Control with cubic loss. Journal of Industrial and Management Optimization 18:4, pages 2903.
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Zahra Jalilibal, Amirhossein Amiri, Philippe Castagliola & Michael B.C. Khoo. (2021) Monitoring the coefficient of variation: A literature review. Computers & Industrial Engineering 161, pages 107600.
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Rui Chen, Li Jin, Zhonghua Li & Jiujun Zhang. (2021) A progressive approach for the detection of the coefficient of variation. Quality and Reliability Engineering International 37:6, pages 2587-2602.
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Zhi Song, Amitava Mukherjee & Jiujun Zhang. (2021) Some robust approaches based on copula for monitoring bivariate processes and component-wise assessment. European Journal of Operational Research 289:1, pages 177-196.
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Liu Liu, Qing Peng, Xin Lai & Zepei Deng. (2020) An adaptive nonparametric exponentially weighted moving average control chart with dynamic sampling intervals. Statistical Analysis and Data Mining: The ASA Data Science Journal 14:1, pages 74-87.
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Ridwan A. Sanusi, Zhi Lin Chong, Amitava Mukherjee & Min Xie. (2020) Distribution-free hybrid schemes for process surveillance with application in monitoring chlorine content of water. Chemometrics and Intelligent Laboratory Systems 206, pages 104099.
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Valery Y. Glizer & Vladimir Turetsky. 2020. Informatics in Control, Automation and Robotics. Informatics in Control, Automation and Robotics 26 50 .
Valery Y. Glizer & Vladimir Turetsky. (2019) Robust Optimization of Statistical Process Control. Robust Optimization of Statistical Process Control.
Rui Chen, Zhonghua Li & Jiujun Zhang. (2019) A generally weighted moving average control chart for monitoring the coefficient of variation. Applied Mathematical Modelling 70, pages 190-205.
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