Jian Liu

Associate Professor
520.621.6548
jianliu@sie.arizona.edu

Link to Dr. Liu's Home Page

Educational Background

Ph.D., Mechanical Engineering and Industrial and Operation Engineering, University of Michigan, 2008.

M.S., Statistics, University of Michigan, 2006.

M.S., Industrial Engineering, University of Michigan, 2005.

M.S., Precision Instruments & Mechanology, Tsinghua University, China, 2002.

B.S., Precision Instruments & Mechanology, Tsinghua University, China, 1999.

Research & Teaching Interests

Quality Engineering and Applied Statistics: multivariate statistics, statistical process control (SPC), reliability engineering, design of experiments.  In-process quality and productivity improvement: engineering-driven modeling and analysis of variation propagation in manufacturing processes, statistical pattern recognition and feature extraction for process monitoring, diagnosis and control.

Selected Publications

Liu, J., Shi, J., and Hu, S.J., 2008, “Engineering-Driven Factor Analysis for Variation Sources Identification in Multistage Manufacturing Processes,” ASME Transactions, Journal of Manufacturing Science and Engineering, 130 (4), p. 0410091-04100910.

Liu, J., Shi, J., and Hu, S.J., 2008, “Quality Assured Setup Planning Based on the Stream Of Variation Model for Multi-Stage Machining Processes,” IIE Transactions, Quality and Reliability Engineering, to appear.

Liu, J., Jin, J., and Shi, J., 2008, “State Space Modeling for 3_Dimentional Variation Propagation in Rigid-Body Multistage Assembly Processes,” IEEE Transactions on Automation Science and Engineering, conditionally accepted.

Liu, J., and Shi, J., 2008, “Monitoring and Diagnosis for Multistage Manufacturing Processes: A Comparison Survey of Statistical-Process-Control vs. Stream-of-Variation Methodologies,” submitted to Technometrics.

Liu, J., Li, J., and Shi, J., 2005, “Engineering Knowledge Driven Cause-Effect Modeling and Statistical Analysis for Multi-Operational Machining Process Diagnosis,” Transactions of NAMRI/SME, Vol. 33, 65-72.

University of Arizona College of Engineering