Operations Management and Industrial Engineering

Name:Li Jian

Title:Professor

Department:Operations Management & Industrial Engineering

Email:jianli@mail.xjtu.edu.cn

职称 Professor 系别 Operations Management & Industrial Engineering
邮箱 jianli@mail.xjtu.edu.cn

Research Interests:

Quality Management, Industrial Statistics, and Statistical Data Mining


Education experience:

Sep 2002—July 2006    Hong Kong University of Science and Technology   Industrial Engineering and Logistics Management Ph.D.

Sep 2006—Dec 2007    Tsinghua University      Automation   Master

Sep 2008—July 2012    Tsinghua University      Automation   Bachelor


Working experience:

Jan.2021--present Xi’an Jiaotong University     Professor

Jan.2016- Jan.2021       Xi’an Jiaotong University     Associate Professor

May 2013—Jan.2016    Xi’an Jiaotong University     Assistant Professor

Sep 2012—July 2013    Hong Kong University of Science and Technology   Postdocr


Honors and Awards:

1. IISE Transactions invited session paper at INFORMS Annual Meeting, Seattle, WA, 2019

2. IISE Transactions invited session discussion paper at INFORMS Annual Meeting, Phoenix, AZ, 2018

3. ISE (formerly Industrial Engineer) Magazine feature article, 2017

4. ISE (formerly Industrial Engineer) Magazine feature article, 2016


Teaching courses

undergraduate      Engineering Economics

undergraduate      Quality Management

undergraduate      Orientation for freshmen

Master    Modern Quality Management Theory and Application

Master    Academic Writing and Paper Publication Training

professional degree      Project Quality Management

professional degree      Quality Management

professional degree      Quality and safety engineering and control

professional degree      Professional Enlish


Academic achievements:

1. Li, J., Zhou, Q., and Ding, D., Efficient Monitoring of Autocorrelated Poisson Counts. IISE Transactions, in press.

2. Xian, X., Li, J.*, and Liu, K., Causation-based Monitoring and Diagnosis for Multivariate Categorical Processes with Ordinal Information. IEEE Transactions on Automation Science and Engineering, 16(2), 886-897, 2019.

3. Xian, X., Archibald, R., Mayer, B., Liu, K., and Li, J., An Effective Online Data Monitoring and Saving Strategy for Large-Scale Climate Simulations. Quality Technology & Quantitative Management, 16(3), 330-346, 2019.

4. Fan, W., Zhou, Q., Li, J., and Zhu, Z., A Wavelet-based Statistical Approach for Monitoring and Diagnosis of Compound Faults with Application to Rolling Bearings. IEEE Transactions on Automation Science and Engineering, 15(4), 1563-1572, 2018.

5. Li, J.*, Xu, J., and Zhou, Q., Monitoring Serially Dependent Categorical Processes with Ordinal Information. IISE Transactions, 50(7), 596-605, 2018. (IISE Transactions invited session paper at INFORMS Annual Meeting)

6.Wang, K., Li, J.*, and Tsung, F., Adaptive Monitoring of Multimodal Data. Computers & Industrial Engineering, 125, 364-374, 2018.

7.Wang, K., Li, J.*, and Tsung, F., Registration-Free Monitoring of Multimode Near-Circular Shape Profiles. Quality and Reliability Engineering International, 34(4), 529-542, 2018.

8.Wang, R., Li, J.*, and Xue, L., Joint Monitoring of Mean and Dispersion of Count Data. Journal of Industrial and Production Engineering, 35(4), 269-276, 2018.

9.Ding, D., Xiang, D., and Li, J.*, Directional Monitoring of Categorical Processes with Serial Dependence. Computers & Industrial Engineering, 113, 502-511, 2017.

10.Li, J. and Zhou, Q., A General Approach for Monitoring Serially Dependent Categorical Processes. Journal of Quality Technology, 49(4), 365-379, 2017.

11.Li, J.*, Liu, K., and Xian, X., Causation-based Process Monitoring and Diagnosis for Multivariate Categorical Processes. IISE Transactions, 49(3), 332-343, 2017. (ISE Magazine feature article, IISE Transactions invited session discussion paper at INFORMS Annual Meeting)

12.Wang, J., Li, J., and Su, Q., Multivariate Ordinal Categorical Process Control based on Log-linear Modeling. Journal of Quality Technology, 49(2), 108-122, 2017.

13.Ding, D., Tsung, F., and Li, J.*, Ordinal Profile Monitoring with Random Explanatory Variables, International Journal of Production Research, 55(3), 736-749, 2017.

14.Ding, D., Tsung, F., and Li, J.*, Rank-based Process Control for Mixed-type Data. IIE Transactions, 48(7), 673-683, 2016. (ISE Magazine feature article)

15.Ding, D., Tsung, F., and Li, J.*, Directional Control Schemes for Processes with Mixed-type Data. International Journal of Production Research, 54(6), 1594-1609, 2016.

16.Li, J., Tsung, F., and Zou, C., Multivariate Binomial/Multinomial Control Chart. IIE Transactions, 46(5), 526-542, 2014. (Best Student Paper Finalist Award in the Quality, Statistics and Reliability Cluster at INFORMS Annual Meeting)

17.Li, J., Tsung, F., and Zou, C., A Simple Categorical Chart for Detecting Location Shifts with Ordinal Information. International Journal of Production Research, 52(2), 550-562, 2014.


Discipline-Based Research Projects:

1. 2018.01-2021.12 Research on real-time monitoring strategy of complex high-dimensional data flow, National Natural Science Foundation of China,ongoing, in charge.

2. 2016.06-2019.05 National Key RESEARCH and Development Plan "National Quality Foundation Generic Technology Research and Application" Key Special Project "Research on Key Technology Standards of Additive Manufacturing", 2016YFF0202004-01, in charge.

3. 2016.03-2018.02  Open Fund Project of State Key Laboratory of Mechanical Manufacturing System Engineering, SKLMS2016010, Monitoring of attributes and Quality Characteristics in service process, in charge

4. Jan 2015—Dec 2017, Statistical Surveillance for Various Types of Autocorrelated Data, National Science Foundation for Young Scholars of China, ongoing, in charge

5. 2017.01-2019.12  Statistical quality control of multi-mode shapes and contours, The National Natural Science Foundation of China for young scholars, 71602155, attending.

6. 2016.01-2019.12 Bullwhip effect of closed-loop Supply Chain and its Coordination Study,  General project of national Natural Science Foundation of China, 71572138, attending

7. 2014.04-2014.08  Service Science and Management Innovation ,International (regional) Cooperation and Exchange Program of The National Natural Science Foundation of China, 71410307009, attending.