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International Journal of Production Research Volume 54, 2016 - Issue 6
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Original Articles

Directional control schemes for processes with mixed-type data

Dong DingDepartment of Industrial Engineering and Logistics Management, Hong Kong University of Science and Technology, Hong Kong, Hong Kong.View further author information
,
Fugee TsungDepartment of Industrial Engineering and Logistics Management, Hong Kong University of Science and Technology, Hong Kong, Hong Kong.View further author information
&
Jian LiSchool of Management and State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an, China.Correspondence[email protected]
View further author information
Pages 1594-1609 | Received 11 Aug 2014, Accepted 01 Feb 2015, Published online: 19 Mar 2015

Citations (6)

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Read on this site (2)

Li Xue, Qiuyu Wang, Zhen He & Peihua Qiu. (2023) A nonparametric EWMA control chart for monitoring mixed continuous and count data. Quality Technology & Quantitative Management 0:0, pages 1-17.
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Yong-Hong Kuo & Andrew Kusiak. (2019) From data to big data in production research: the past and future trends. International Journal of Production Research 57:15-16, pages 4828-4853.
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Articles from other publishers (4)

Li Xue, Qiuyu Wang, Lisheng An, Zhen He, Sen Feng & Jie Zhu. (2024) A nonparametric adaptive EWMA control chart for monitoring mixed continuous and categorical data using self-starting strategy. Computers & Industrial Engineering 188, pages 109930.
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Bingjie He, Junxiang Li, Fugee Tsung, Yan Gao, Jingxin Dong & Yazheng Dang. (2019) Monitoring of power consumption requirement load process and price adjustment for smart grid. Computers & Industrial Engineering 137, pages 106068.
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Xiaochen Xian, Jian Li & Kaibo Liu. (2019) Causation-Based Monitoring and Diagnosis for Multivariate Categorical Processes With Ordinal Information. IEEE Transactions on Automation Science and Engineering 16:2, pages 886-897.
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Junjie Wang, Qin Su, Yue Fang & Pengwei Zhang. (2018) A multivariate sign chart for monitoring dependence among mixed-type data. Computers & Industrial Engineering 126, pages 625-636.
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