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Primary Article

A Factor-Analysis Method for Diagnosing Variability in Mulitvariate Manufacturing Processes

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Pages 84-95 | Published online: 01 Jan 2012

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Robert L. Mason, Youn-Min Chou & John C. Young. (2010) Decomposition of Scatter Ratios Used in Monitoring Multivariate Process Variability. Communications in Statistics - Theory and Methods 39:12, pages 2128-2145.
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Yu Ding, Li Zeng & Shiyu Zhou. (2006) Phase I Analysis for Monitoring Nonlinear Profiles in Manufacturing Processes. Journal of Quality Technology 38:3, pages 199-216.
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Chin Qinyan Liu, Yu Ding & Yong Chen. (2005) Optimal coordinate sensor placements for estimating mean and variance components of variation sources. IIE Transactions 37:9, pages 877-889.
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Shiyu Zhou, Yu Ding, Yong Chen & Jianjun Shi. (2003) Diagnosability Study of Multistage Manufacturing Processes Based on Linear Mixed-Effects Models. Technometrics 45:4, pages 312-325.
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Daniel W Apley & Ho Young Lee. (2003) Identifying Spatial Variation Patterns in Multivariate Manufacturing Processes. Technometrics 45:3, pages 220-234.
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Shilong Sun, Peter W. Tse & Y. L. Tse. (2017) An Enhanced Factor Analysis of Performance Degradation Assessment on Slurry Pump Impellers. Shock and Vibration 2017, pages 1-13.
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Crossref
C. Irgens, T. Wuest & K.-D. Thoben. (2012) Product state based view and machine learning: A suitable approach to increase quality?. IFAC Proceedings Volumes 45:6, pages 1733-1738.
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Eric Chicken. 2011. Statistical Analysis of Profile Monitoring. Statistical Analysis of Profile Monitoring 157 188 .
Jian Liu. (2010) Variation reduction for multistage manufacturing processes: a comparison survey of statistical-process-control vs stream-of-variation methodologies. Quality and Reliability Engineering International 26:7, pages 645-661.
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D D Milanovic, M Klarin, M Misita, D Lj Milanovic & A Zunjic. (2009) Identification of invariant factors that determine labour output on the production line. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 223:12, pages 1615-1623.
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Wei-Shing Chen. (2009) Multiple Fault Diagnostics in Solder Paste Printing Process Using Blind Separation Approach. IFAC Proceedings Volumes 42:4, pages 252-257.
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Zhenyu Kong, Dariusz Ceglarek & Wenzhen Huang. (2008) Multiple Fault Diagnosis Method in Multistation Assembly Processes Using Orthogonal Diagonalization Analysis. Journal of Manufacturing Science and Engineering 130:1.
Crossref
Dennis K.J. Lin & Arthur B. Yeh. 2007. Encyclopedia of Statistics in Quality and Reliability. Encyclopedia of Statistics in Quality and Reliability.
Feng Zhang & Timwah Luk. (2007) A Data Mining Algorithm for Monitoring PCB Assembly Quality. IEEE Transactions on Electronics Packaging Manufacturing 30:4, pages 299-305.
Crossref
Jianjun Shi. 2006. Stream of Variation Modeling and Analysis for Multistage Manufacturing Processes. Stream of Variation Modeling and Analysis for Multistage Manufacturing Processes 195 218 .
Y. Ding, E.A. Elsayed, S. Kumara, J.-C. Lu, F. Niu & J. Shi. (2006) Distributed Sensing for Quality and Productivity Improvements. IEEE Transactions on Automation Science and Engineering 3:4, pages 344-359.
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Nong Jin & Shiyu Zhou. (2006) Data‐driven variation source identification for manufacturing process using the eigenspace comparison method. Naval Research Logistics (NRL) 53:5, pages 383-396.
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Zhiguo Li & Shiyu Zhou. (2006) Robust Method of Multiple Variation Sources Identification in Manufacturing Processes For Quality Improvement. Journal of Manufacturing Science and Engineering 128:1, pages 326-336.
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Zhenyu KongRamesh KumarSuren GogineniYingqing ZhouJijun Lin, Wenzhen Huang & Dariusz Ceglarek. (2005) Multiple Fault Diagnosis Method in Multi-Station Assembly Processes Using State Space Model and Orthogonal Diagonalization Analysis. Multiple Fault Diagnosis Method in Multi-Station Assembly Processes Using State Space Model and Orthogonal Diagonalization Analysis.
Feng Zhang, Bani Mallick & Zhujun Weng. (2005) A Bayesian method for identifying independent sources of non-random spatial patterns. Statistics and Computing 15:4, pages 329-339.
Crossref
Y. G. Liu & S. J. Hu. (2005) Assembly Fixture Fault Diagnosis Using Designated Component Analysis. Journal of Manufacturing Science and Engineering 127:2, pages 358-368.
Crossref
D.W. Apley & Y. Ding. (2005) A Characterization of Diagnosability Conditions for Variance Components Analysis in Assembly Operations. IEEE Transactions on Automation Science and Engineering 2:2, pages 101-110.
Crossref
Jaime A. Camelio & S. Jack Hu. (2004) Multiple Fault Diagnosis for Sheet Metal Fixtures Using Designated Component Analysis. Journal of Manufacturing Science and Engineering 126:1, pages 91-97.
Crossref
K. Mannar & D. Ceglarek. (2004) Continuous Failure Diagnosis for Assembly Systems using Rough Set Approach. CIRP Annals 53:1, pages 39-42.
Crossref
Yu Ding, Dariusz Ceglarek & Jianjun Shi. (2002) Fault Diagnosis of Multistage Manufacturing Processes by Using State Space Approach. Journal of Manufacturing Science and Engineering 124:2, pages 313-322.
Crossref

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