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)
Pingke Li received the B.S. degree in control science from Fudan University, Shanghai, China, in 2002, the M.S. degree in mathematics from Tsinghua University, Beijing, China, in 2005, and the Ph.D. degree in industrial engineering from North Carolina State University, Raleigh, USA, in 2009. He joined the faculty of industrial engineering at Tsinghua University in May 2010 as an assistant professor.
His research interests include discrete optimization, discrete event simulation, computational game theory, computational intelligence, fuzzy logic, complex networks.
Li, P. and Jin, Q., On the resolution of bipolar max-min equations, Kybernetika, 52 (2016) 514-530.
Li, P., A note on the linearly and quadratically weighted kappa coefficients, Psychometrika, 81 (2016) 795-801.
Li, P., A heuristic method to compute the approximate postinverses of a fuzzy matrix, IEEE Transactions on Fuzzy Systems, 22 (2014) 1347-1351.
Li, P. and Liu, Y., Linear optimization with bipolar fuzzy relational equation constraints using the Lukasiewicz triangular norm, Soft Computing, 18 (2014) 1399-1404.
Li, P., A note on fuzzy relational equations with min-implication composition, IEEE Transactions on Fuzzy Systems, 21 (2013) 983-986.
Li, P. and Jin, Q., Fuzzy relational equations with min-biimplication composition, Fuzzy Optimization and Decision Making, 11 (2012) 227-240.
Li, P. and Fang, S.-C., On the unique solvability of fuzzy relational equations, Fuzzy Optimization and Decision Making, 10 (2011) 115-124.
Li, P. and Fang, S.-C., Latticized linear optimization on the unit interval, IEEE Transactions on Fuzzy Systems, 17 (2009) 1353–1365.
Li, P. and Fang, S.-C., A survey on fuzzy relational equations, Part I: Classification and solvability, Fuzzy Optimization and Decision Making, 8 (2009) 179–229.
Li, P. and Fang, S.-C., A note on solution sets of interval-valued fuzzy relational equations, Fuzzy Optimization and Decision Making, 8 (2009) 115–121.
Li, P. and Fang, S.-C., Minimizing a linear fractional function subject to a system of sup-T equations with a continuous Archimedean triangular norm, Journal of Systems Science and Complexity,22 (2009) 49–62.
Li, P. and Fang, S.-C., On the resolution and optimization of a system of fuzzy relational equations with sup-T composition, Fuzzy Optimization and Decision Making, 7 (2008) 169–214.
Li, P. and Liu, B., Entropy of credibility distributions for fuzzy variables, IEEE Transactions on Fuzzy Systems, 16 (2008) 123–129.
Li, P. and Fang, S.-C., Chebyshev approximation of inconsistent fuzzy relational equations with max-T composition, In W.A. Lodwick and J. Kacprzyk (Eds.), Fuzzy Optimization: Recent Developments and Applications, Springer, 2010, 109-124.
Li, P., Fang, S.-C. and Zhang, X., Nonlinear optimization subject to a system of fuzzy relational equations with max-min composition, Proceedings of the Seventh International Symposium on Operations Research and Its Applications (ISORA’08), Lijiang, China, October 31–November 3, 2008, 1–9.
Li, P. and Liu, B., The entropy of fuzzy variables, Proceedings of the Fourth International Conference on Information and Management Sciences (IMS’05), Kunming, China, July 1–10, 2005, 227–233.
Li, P. and Liu, B., Critical path problem with random fuzzy activities, Proceedings of the Fourth International Conference on Intelligent Technologies (InTech’03), Chiang Mai, Thailand, December 17–19, 2003, 451–458.
Fuzzy Optimization and Decision Making, Associate Editor (2010 - 2015)