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IIE Transactions Volume 43, 2011 - Issue 4
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ORIGINAL ARTICLES

Detecting and diagnosing covariance matrix changes in multistage processes

Yanting Li School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China; State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China
&
Fugee Tsung Department of Industrial Engineering and Logistics Management, Hong Kong University of Science and Technology, Hong Kong
Pages 259-274 | Received 01 Jun 2009, Accepted 01 Mar 2010, Published online: 13 Feb 2011

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Yanhong Liu, Haojie Ren & Zhonghua Li. (2023) A unified diagnostic framework via symmetrized data aggregation. IISE Transactions 0:0, pages 1-12.
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S. Kim, J. Kim, M. K. Jeong, K. N. Al-Khalifa, A. M. S. Hamouda & E. A. Elsayed. (2019) Monitoring and control of beta-distributed multistage production processes. Quality Technology & Quantitative Management 16:1, pages 1-18.
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Articles from other publishers (12)

Nurudeen A. Adegoke, Jimoh Olawale Ajadi, Amitava Mukherjee & Saddam Akber Abbasi. (2022) Nonparametric multivariate covariance chart for monitoring individual observations. Computers & Industrial Engineering 167, pages 108025.
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Jinying Li, Youzhi Dai, Yun Zhu, Xiangbo Tang, Shuxiao Wang, Jia Xing, Bin Zhao, Shaojia Fan, Shicheng Long & Tingting Fang. (2022) Improvements of response surface modeling with self-adaptive machine learning method for PM2.5 and O3 predictions. Journal of Environmental Management 303, pages 114210.
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Rubén Moliner-Heredia, Gracia M. Bruscas-Bellido, José V. Abellán-Nebot & Ignacio Peñarrocha-Alós. (2021) A Sequential Inspection Procedure for Fault Detection in Multistage Manufacturing Processes. Sensors 21:22, pages 7524.
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Dewen Yu, Junkang Guo, Qiangqiang Zhao, Dingtang Zhao & Jun Hong. (2021) Fault diagnosis for underdetermined multistage assembly processes via an enhanced Bayesian hierarchical model. Journal of Manufacturing Systems 58, pages 280-290.
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Binhui Wang, Feng Xu & Lianjie Shu. (2019) A Bayesian approach to diagnosing covariance matrix shifts. Quality and Reliability Engineering International 36:2, pages 736-752.
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Farid Hassanvand, Yaser Samimi & Hamid Shahriari. (2019) A robust control chart for simple linear profiles in two‐stage processes. Quality and Reliability Engineering International 35:8, pages 2749-2773.
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Yinhua Liu, Rui Sun & Sun Jin. (2019) A survey on data-driven process monitoring and diagnostic methods for variation reduction in multi-station assembly systems. Assembly Automation 39:4, pages 727-739.
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Mohammad Pirhooshyaran & Seyed Taghi Akhavan Niaki. (2015) A double-max MEWMA scheme for simultaneous monitoring and fault isolation of multivariate multistage auto-correlated processes based on novel reduced-dimension statistics. Journal of Process Control 29, pages 11-22.
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Letícia Pereira Pinto & Sueli Aparecida Mingoti. (2015) ON HYPOTHESIS TESTS FOR COVARIANCE MATRICES UNDER MULTIVARIATE NORMALITY. Pesquisa Operacional 35:1, pages 123-142.
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Masoumeh Eghbali Ghahyazi, Seyed Taghi Akhavan Niaki & Paria Soleimani. (2013) On the Monitoring of Linear Profiles in Multistage Processes. Quality and Reliability Engineering International 30:7, pages 1035-1047.
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Taha Hossein Hejazi, Mirmehdi Seyyed-Esfahani & Masoud Mahootchi. (2013) Quality chain design and optimization by multiple response surface methodology. The International Journal of Advanced Manufacturing Technology 68:1-4, pages 881-893.
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Mehdi Davoodi & Seyed Taghi Akhavan Niaki. (2012) Estimating the Step-Change Time of the Location Parameter in Multistage Processes Using MLE. Quality and Reliability Engineering International 28:8, pages 843-855.
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