The bachelors’ 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 in usually 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 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. Yanfu Li is currently a full professor at IE department of Tsinghua University. He was a full professor from Jan 2016 to Aug 2016 and an assistant professor from Jan 2011 to Dec 2015, in Laboratory of Industrial Engineering at CentraleSupélec, University of Paris-Saclay, France. His current research interests include RAMS (reliability, availability, maintainability, safety) assessment and optimization with the applications onto energy systems, computing systems, transportation systems, etc. He has led/participated in several projects supported by EU, France and USA government funding bodies and enterprises. He is a co-author of over 80 publications, on international journals, conference proceedings and books. He is a senior member of IEEE and a member of INFORMS and SRA.
Please contact Prof Li with a resume for information about research positions and scholarships.
Multi-State Systems Reliability Assessment and Optimization
Y.H. Lin, Y.F. Li*, E. Zio. Reliability Assessment of Systems Subject to Dependent Degradation and Random Shock Processes. IIE Transactions. (Online). Featured article
Y.H. Lin, Y.F. Li, E. Zio. A Reliability Assessment Framework for Systems With Degradation Dependency by Combining Binary Decision Diagrams and Monte Carlo Simulation. IEEE Transactions on Systems, Man, and Cybernetics: Systems. (Online)
Y.H. Lin, Y.F. Li, E. Zio. 2016. Component Importance Measures for Components with Multiple Dependent Competing Degradation Processes and Subject to Maintenance. IEEE Transactions on Reliability. 65(2), 547-557.
Y.H. Lin, Y.F. Li*, E. Zio. 2015. Fuzzy Reliability Assessment of Systems with Multiple Dependent Competing Degradation Processes. IEEE Transactions on Fuzzy Systems. 23(5), 1428-1438.
Y.H. Lin, Y.F. Li*, E. Zio. 2015. Integrating Random Shocks into Multi-State Physics Models of Degradation Processes for Component Reliability Assessment. IEEE Transactions on Reliability. 64(1), 154-166.
Y.F. Li, R. Peng. 2014. Availability modeling and optimization of dynamic multi-state series–parallel systems with random reconfiguration. Reliability Engineering & System Safety. 127, 47-57.
Y.F. Li*, Y. Ding, E. Zio. 2014. Random Fuzzy Extension of the Universal Generating Function Approach for the Reliability Assessment of Multi-State Systems under Aleatory and Epistemic Uncertainties. IEEE Transactions on Reliability. 63(1), 13 - 25.
Y.F. Li*, E. Zio, Y.H. Lin. 2012. A Multistate Physics Model of Component Degradation Based on Stochastic Petri Nets and Simulation. IEEE Transactions on Reliability. 61(4), 921-931.
Y. Ding, E. Zio, Y.F. Li, L. Cheng, Q. W. Wu. 2012. Definition of Multi-state Weighted k-out-of-n: F Systems. International Journal of Performability Engineering. 8(2), 217-219.
Renewable Energy Systems Reliability Assessment and Optimization
H.D. Mo, Y.F. Li*, E. Zio. A System-of-Systems Framework for the Reliability Analysis of Distributed Generation System Accounting for the Impact of Degraded Communication Networks. Applied Energy (Accepted).
Y.F. Li*, E. Zio. 2012. A Multi-State Model for the Reliability Assessment of a Distributed Generation System via Universal Generating Function. Reliability Engineering & Systems Safety. 106, 28–36.
Y.F. Li*, S. Valla, E. Zio. 2015. Reliability Assessment of Generic Geared Wind Turbines by GTST-MLD Model and Monte Carlo Simulation. Renewable Energy. 83, 222-233.
Z. Yang, Y.X. Chen, Y.F. Li, E. Zio, R. Kang. 2014. Smart Electricity Meter Reliability Prediction based on Accelerated Degradation Testing and Modeling. International Journal of Electrical Power & Energy Systems. 56, 209-219.
Y.F. Li*, E. Zio. 2012. Uncertainty Analysis of the Adequacy Assessment Model of a Distributed Generation System. Renewable Energy. 41, 235-244.
R. Mena, M. Hennebel, Y.F. Li, E. Zio. 2016. A multi-objective optimization framework for risk-controlled integration of renewable generation into electric power systems. Energy. 106, 712-727.
R. Rocchetta, Y.F. Li*, E. Zio. 2015. Risk Assessment and Risk-Cost Optimization of Distributed Power Generation Systems Considering Extreme Weather Conditions. Reliability Engineering & System Safety. 136, 47-61.
R. Mena, M. Hennebel, Y.F. Li, C. Ruiz, E. Zio. 2014. A Risk-Based Simulation and Multi-Objective Optimization Framework for the Integration of Distributed Renewable Generation and Storage. Renewable & Sustainable Energy Reviews. 37, 778-793.
R. Mena, M. Hennebel, Y.F. Li, E. Zio. 2014. A self-adaptable hierarchical clustering differential evolution for optimal integration of renewable distributed generation. Applied Energy. 133, 388-402.
E. Kuznetsova, Y.F. Li, C. Ruiz, E. Zio. 2014. An integrated framework of agent-based modelling and robust optimization for microgrid energy management. Applied Energy. 129, 70 – 88.
E. Kuznetsova, C. Ruiz, Y.F. Li, E. Zio. 2015. Analysis of robust optimization for decentralized microgrid energy management under uncertainty. International Journal of Electrical Power and Energy Systems. 64, 815-832.
Y.F. Li*, N. Pedroni, E. Zio. 2013. A Memetic Evolutionary Multi-Objective Optimization Method for Environmental Power Unit Commitment. IEEE Transactions on Power Systems. 28(3), 2660 – 2669.
E. Kuznetsova, Y.F. Li, C.R. Mora, E. Zio, G. Ault, K. Bell. 2013. Reinforcement learning for microgrid energy management. Energy. 59, 133–146.
Y.F. Li*, G. Sansavini, E. Zio. 2013. Non-Dominated Sorting Binary Differential Evolution for the Multi-Objective Optimization of Cascading Failures Protection in Complex Networks. Reliability Engineering & System Safety. 111, 195–205.
Software/Computing System Reliability Assessment and Optimization
Y.F. Li, R. Peng. 2015. Service Reliability Modeling of Distributed Computing Systems with Virus Epidemics. Applied Mathematical Modelling. 39(18), 5681-5692.
R. Peng, Y.F. Li*, J.G. Zhang, X. Li. 2015. A risk-reduction approach for optimal software release time determination with the delay penalty cost. International Journal of Systems Science. 46(9), 1628-1637.
C.T. Lin, Y.F. Li*. 2014. Rate-Based Queueing Simulation Model of Open Source Software Debugging Activities. IEEE Transactions on Software Engineering. 40(11), 1075 – 1099.
Y.S. Dai, Y.P. Xiang, Y.F. Li, L.D. Xing. 2011. Consequence Oriented Self-Healing and Autonomous Diagnosis for Highly Reliable Systems and Software. IEEE Transactions on Reliability. 60(2), 369 – 380.
X. Li, Y.F. Li, M. Xie, S.H. Ng. 2011. Reliability analysis and optimal version-updating for open source software. Information and Software Technology. 53(9), 929-936.
R. Peng, Y.F. Li, W.J. Zhang, Q.P. Hu. 2014. Testing effort dependent software reliability model for imperfect debugging process considering both detection and correction. Reliability Engineering & System Safety 126, 37–43.
Y.F. Li*, S.H. Ng, M. Xie, T.N. Goh. 2010. A Systematic Comparison of Metamodeling Techniques for Simulation Optimization in Decision Support Systems. Applied Soft Computing. 10, 1257-1273.
Machine Learning Methods with Applications
J.L. Huang, Y.F. Li, M. Xie. 2015. An empirical analysis of data preprocessing for machine learning-based software cost estimation. Information and Software Technology. 67(c), 108-127.
R. Ak, Y.F. Li., V. Vitelli, E. Zio, E. L. Droguettc, C. M. C. Jacintod. 2013. NSGA-II-Trained Neural Network Approach to the Estimation of Prediction Intervals of Scale Deposition Rate in Oil & Gas Equipment. Expert Systems with Applications. 40(4), 1205-1212.
Y.F. Li*, M. Xie, T.N. Goh. 2010. Adaptive ridge regression system for software cost estimating on multi-collinear datasets. Journal of Systems and Software. 83(11), 2332-2343.
Y.F. Li*, M. Xie, T.N. Goh. 2009. A Study of the Non-linear Adjustment for Analogy Based Software Cost Estimation. Empirical Software Engineering. 14(6), 603-643.
Y.F. Li*, M. Xie, T.N. Goh. 2009. A Study of Mutual Information Based Feature Selection for Case Based Reasoning in Software Cost Estimation. Expert Systems with Applications. 36(3), 5921-5931.
Y.F. Li*, M. Xie, T.N. Goh. 2009. A Study of Project Selection and Feature Weighting for Analogy Based Software Cost Estimation. Journal of Systems and Software. 82(2), 241-252. (Best Student Paper Award, IEEE TMC, Singapore Chapter)
Y.F. Li, E. Zio. 2017. RAMS Optimization Principles, in Handbook of Safety Principles. ed. Niklas Moller, Sven Ove Hansson, Jan-Erik Holmberg, Carl Rollenhagen. John Wiley & Sons, NJ, USA.
Y.F. Li, E. Zio, Y.H. Lin. 2012. Methods of Solutions of Inhomogeneous Continuous Time Markov Chains for Degradation Process Modeling, Applied Reliability Engineering and Risk Analysis. Probabilistic Models and Statistical Inference. Dedicated to the Centennial of the birth of Boris Gnedenko, renowned Russian mathematician and reliability theorist. ed. Alex Karagrigoriou, Anatoly Lisnianski, Andre Kleyner, Ilia Frenkel. Wiley.
C.J. Xiong, Y.F. Li, M. Xie, S.H. Ng, T.N. Goh. 2009. Service Reliability and Availability Analysis of Distributed Software Systems Considering Malware Attack, in Advances in Software Engineering, vol. 36 of Communications in Computer and Information Science. Springer Berlin Heidelberg. Page: 313-320. ISSN: 1865-0929.
Y.F. Li, J. Liu. 2005 Predicting Subcellular Localization of Proteins Using Support Vector Machine with N-Terminal Amino Composition. in Advanced Data Mining and Applications, vol. 3584 of Lecture Notes in Computer Science. Springer Berlin Heidelberg, Page: 618-625. ISSN: 0302-9743.
Many conference papers