The bachelors's degree in Industrial Engineering at Tsinghua requires 170 credits totally, which include: spring & fall courses 142 credits, summer practicum 13 credits, and thesis project 15 credits. The 170 credits constitution is: General
The Master of Science degree in Industrial Engineering is offered to all students who finish the Industrial Engineering program usually in 2 years. Besides the required Master's thesis, the Industrial Engineering program requires 30 credits, con
The Philosophy of Doctor degree in Industrial Engineering is offered to all students who finish the Industrial Engineering program in at least 3 to 5 years.
PEOThe current PEO is:Employ industrial engineering theories, and analytical and management skills for incre
The Department of Industrial Engineering is devoted to solving efficiency, quality, cost and safety problems in industrial and service systems.
The challenges in contemporary society are mostly complicated system problems, such as management of global production networks, establishment of efficient public healthcare systems, construction of traffic and transport systems and their operation networks, and maintaining secured and effective energy supply systems. These challenges involve not only c
We apply state-of-the-art decision science and statistics knowledge to the development of the Chinese economy. To be specific, we use data-driven decision...
The Engineering system group in the Department of Industrial Engineering of Tsinghua University endeavors to improve understanding about the nature of operations in engineering systems, such as, production systems, service systems (logistics, healthcare,
Human Factor and Ergonomics studies the correlations and interactions between human, tool, machine and environment in system, and promote the total productivity of human-machine system as well as people's health, security and the quality of life.
The research centers at the department are platforms for the collaboration and communication between the department and industries. They serve through research, technology transfer, management consulting, and continuous education & training. Below are research centers run by the department:
The IE department has four laboratories: Human Factors Engineering Lab (HFEL), Logistics Engineering Lab (LEL), Production Engineering Lab (PEL), and Computing and Simulation Lab (CSL).
The department is well structured by a team of 30 highly qualified faculty members, including 7 full professors, 17 associate professors, and 6 assistant professors. The founding chaired professor and department head is Dr. Gavriel Salvendy, who is a prof
Dr. Gavriel Salvendy
Chair of the Review Board
University Distinguished Professor
University of Central Florida,and President Academy of Science, Engineering and Medicine of Florida
Member of National Academy of Engineering, US
Dr Hubertus ChristPresident of VDI ( Verein Deutscher Ingenieure,Germany)Time of appointment: 2002-2008Mr. Tome LeamonVi
[Time] 9:00-10:00, April 11 (Saturday), 2020
Lotus Pond Rain Classroom: W141WB
ZOOM ID: 660 896 190
Tencent ID: 526 217 861
[Speaker] Dr. Luyi Yang
[Title] A Model of Queue-Scalping
The department has one associate chair as the department-level student advisory board director. The board has an undergraduate branch and a graduate branch. Each branch is formed by class advisors, class assistants, student union, Youth League, and Science/Technology Association.
The IE department has eight undergraduate classes (each grade has two classes of about 70 students). Also we have two faculty members as the advisors for the freshmen, two for the sophomores, one for the juniors, and o
The students are required to participate in extracurricular activities in order to prepare themselves with not only knowledge in IE, but also Teamwork and interpersonal skills, Leadership, and Social responsibilities.
The university-level student advisor
The Bachelor program requires 173 credits, consisting of 136 credits in spring/fall semesters, 4 credits in senior projects, 18 credits in summer practice and military training, and 15 credits of a final thesis. The courses are classified into five categories: Humanities and Social Sciences, core engineering courses, core Industrial Engineering courses, summer practice and internship, and a thesis component.
International programs have been initiated since 2001 including the Tsinghua-Aachen joint master program and Tsinghua-Gatech exchange program. And a two-year, professional-orientated Master's program in Management Science and Engineering (Global Manufacturing) was founded in 2009 for students with a global vision in management science and engineering, with special focus on the manufacturing industry in China.
The doctoral degree program usually lasts 3 to 5 years. Students with Master's degree usually spend 3 to 4 years. The program has 22 credits consisting of 13 credits of core courses, and 5 credits of research requirements. Students without an IE related Master's degree shall take prerequisite courses suggested by the advisor.
Admissions to the International Program of Master of Engineering Management (iMEM)
Dr. Wang received his Ph.D. degree in Industrial Engineering and Engineering Management from the Hong Kong University of Science and Technology (HKUST), Hong Kong, and both his M.S. and B.S. degrees in Mechatronics from Xi'an Jiaotong University, Xi'an, P.R.China. He did his post-doctoral research at HKUST.
Dr. Wang is on the Editorial Review Board for Journal of Quality Technology.
Dr. Wang has been actively involved in teaching, consulting, scholarly research, and service in the field of statistical quality control, quality engineering and management.
For more information, please visit my personal homepage at http://www.ie.tsinghua.edu.cn/kbwang/
Referred Journals (SCI)
Yangyang Zang, Kaibo Wang, Ran Jin (2016) "Unaligned Profile Monitoring using Penalized Methods", Quality and Reliability Engineering International. Accepted.
Jialing Tao, Kaibo Wang, Bo Li, Liang Liu, Qi Cai (2016) "Hierarchical Models for the Spatial Temporal Carbon Nanotube Height Variations", International Journal of Production Research. 54(21), 6613-6632.
Hongyue Sun, Xinwei Deng, Kaibo Wang, Ran Jin(2016) "Logistic Regression for Crystal Growth Process Modeling through Hierarchical Nonnegative Garrote based Variable Selection", IIE Transactions. 28(8), 787-796.
Bao, L., Huang, Q., and Wang, K.(2016) "Robust Parameter Design for Profile Quality Control", Quality and Reliability Engineering International, 32, 1059-1070.
Wang, K., Jiang, W., and Li, B. (2016) "A Spatial Variable Selection Method for Monitoring Product Surface", International Journal of Production Research, 54(14), 4161-4181.
Wang, X., Wu, Su., Wang, K., Deng, X., Liu, L., and Cai, Q. (2016) "A Spatial Calibration Model for Nanotube Film Quality Prediction", IEEE Transactions on Automation Science and Engineering, 13(2), 903-917.
Zhang, L., Wang, K. and Chen, N. (2016) "Monitoring Wafer Geometric Quality using Additive Gaussian Processes", IIE Transactions, 48(1), 1-15.
Wang, X., Wu, S., and Wang, K. (2015) "A Run-to-Run Profile Control Algorithm for Improving the Flatness of Nano-Scale Products", IEEE Transactions on Automation Science and Engineering, 12(1), 192-203.
He, F., Xie, H. and Wang, K. (2015) "Optimal Setup Adjustment and Control of a Process under ARMA Disturbances", IIE Transactions, 47(3), 230-244.
Wang, K., Yeh, A. and Li, B. (2014) "Simultaneous Monitoring of Process Mean Vector and Covariance Matrix via Penalized Likelihood Estimation", Computational Statistics and Data Analysis, 78, 206-217.
Dai, C., Wang, K. and Jin, R. (2014) "Monitoring Profile Trajectories with Dynamic Time Warping Alignment", Quality and Reliability Engineering International, 30: 815-827.
Wang, A., Wang, K. and Tsung, F. (2014) "Statistical Surface Monitoring by Spatial-Structure Modeling", Journal of Quality Technology, 46(4), 359–376.
Bao, L., Wang, K. and Wu, T. (2014) "A Run-to-Run Controller for Product Surface Quality Improvement", International Journal of Production Research, 52(15), 4469-4487.
Zhang, J., Li, W., Wang, K., and Jin, R. (2014) "Process Adjustment with an Asymmetric Quality Loss Function", Journal of Manufacturing Systems, 33, 159-165.
Bao, L., Wang, K. and Jin, R. (2014) "A Hierarchical Model for Characterizing Spatial Wafer Variations", International Journal of Production Research, 52(6), 1827-1842.
Wang, K. and Dai, C. (2014) "A Mixed-Effect Model for Analyzing Experiments with Multistage Processes", Quality Technology & Quantitative Management, 11(4), 491-511.
Zhou, X., Wang, K. and Zhao, L. (2014) "Variable-Selection-based Epidemic Disease Diagnosis", Communications in Statistics - Simulation and Computation, 43(7), 1595-1610.
Wang, K. and Lin, J. (2013) "A Run-to-Run Control Algorithm Based on Timely and Delayed Mixed-Resolution Information", International Journal of Production Research, 51(15), 4704-4717.
Han, K. and Wang, K. (2013) "Coordination and Control of Batch-based Multistage Processes", Journal of Manufacturing Systems, 32: 372-381
Wang, K. and Han, K. (2013) "A Batch-based Run-to-Run Process Control Scheme for Semiconductor Manufacturing", IIE Transactions, 45(6): 658-669.
Li, B., Wang, K. and Yeh, A. (2013), "Monitoring the Covariance Matrix via Penalized Likelihood Estimation", IIE Transactions 45(2), 132-146.
Yeh, A., Li, B. and Wang, K. (2012), "Monitoring Multivariate Process Variability with Individual Observations via Penalized Likelihood Estimation", International Journal of Production Research, 50(22), 6624-6638.
Jiang, W., Wang, K. and Tsung, F. (2012). "A Variable-Selection-based Multivariate EWMA Chart for Process Monitoring and Diagnosis." Journal of Quality Technology 44(3), 209-230.
Lin J. and Wang, K. (2012). "A Bayesian Framework for Online Parameter Estimation and Process Adjustment using Categorical Observations." IIE Transactions 44, 291-300.
Lin J. and Wang, K. (2011). "Online Parameter Estimation and Run-to-Run Process Adjustment Using Categorical Observations." International Journal of Production Research 49(13): 4103-4117.
Wang, K. and Tsung, F. (2010). "Recursive Parameter Estimation for Categorical Process Control." International Journal of Production Research 48(5): 1381-1394.
Han, D., Tsung, F., Li, Y. and Wang, K. (2010). "A Nonlinear Filter Control Chart for Detecting Dynamic Changes." Statistica Sinica 20: 1077-1096.
Wang, K. and Tsung, F. (2009). "An Adaptive Dimension Reduction Scheme for Monitoring Feedback Controlled Processes." Quality and Reliability Engineering International 25: 283–298.
Wang, K. and Jiang, W. (2009). "High-Dimensional Process Monitoring and Fault Isolation via Variable Selection." Journal of Quality Technology 41(3): 247-258.
Shang, Y., Wang, K. and Tsung, F. (2009). "An Improved Run-to-Run Process Control Scheme for Categorical Observations with Misclassification Errors." Quality and Reliability Engineering International 25: 397-407.
Lu, J. C., Jeng, S. L. and Wang, K. (2009). "A Review of Statistical Methods for Quality Improvement and Control in Nanotechnology." Journal of Quality Technology 41(2): 148-164.
He, F., Wang, K. and Jiang, W. (2009). "A General Harmonic Rule Controller for Run-to-Run Process Control." IEEE Transactions on Semiconductor Manufacturing 22(2): 232-244.
Wang, K. and Tsung, F. (2008). "An Adaptive T2 Chart for Monitoring Dynamic Systems." Journal of Quality Technology 40: 109-123.
Wang, K. and Tsung, F. (2007). "Run-to-Run Process Adjustment Using Categorical Observations." Journal of Quality Technology 39(4): 312-325.
Wang, K. and Tsung, F. (2007). "Monitoring Feedback-Controlled Processes Using Adaptive T2 Schemes." International Journal of Production Research 45(23): 5601-5619.
Jeng, S. L., Lu, J. C. and Wang, K. (2007). "A Review of Reliability Research on Nanotechnology." IEEE Transactions on Reliability 56(3): 401-410.
Han, D., Tsung, F., Hu, X. and Wang, K. (2007). "CUSUM and EWMA Multi-Charts for Detecting a Range of Mean Shifts." Statistica Sinica 17(3): 1139-1164.
Wang, K. and Tsung, F. (2005). "Using Profile Monitoring Techniques for a Data-rich Environment with Huge Sample Size." Quality and Reliability Engineering International 21: 677-688.
Tsung, F. and Wang, K. (2010). "Adaptive Charting Techniques: Literature Review and Extensions", in Frontiers in Statistical Quality Control 9, Hans-Joachim Lenz, Peter-Theodor Wilrich and Wolfgang Schmid, (eds.), Springer, Verlag Berlin Heidelberg.
Referred Proceedings (EI)
Wang L. and Wang, K. (2010). "Statistical Process Adjustment of Multivariate Processes with Minimum Control Efforts". Proceedings of the 2010 IEEE IEEM. Macau, December, 2010.
Papers in Chinese
韩凯，王凯波 (2010). "基于分类数据的质量控制算法研究". 《运筹与管理》 19(6): 171-175.
Liang Zhu, Chenxu Dai, Yongyue Sun, Wei Li, Ran Jin, Kaibo Wang (2014). "Curve Monitoring for a Single-Crystal Ingot Growth Process".