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] 16:00-17:00, March 28 (Saturday), 2020
[Location] Online Lotus Pond Rain Classroom: W141WB, ZOOM ID: 624 417 188, Tecent ID：205 645 630
[Speaker] Dr. Huiyin Ouyang
[Title] Allocation of Intensive Care Unit Beds in Periods of High Demand
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)?
HFEL serves both for teaching and research. Table 1 lists the objectives, facilities, and supported courses of these sub-Labs.
Table 1 Human Factors Engineering Lab
Physical Ergonomics and Occupational Safety (Room 524A)
Objectives: To support teaching and research in anthropometry, physical environment measurement, biomechanics, work analysis, and hazard handling etc.
¨ Traditional anthropometric measurement tools
¨ 3D laser scanning (FastSCAN) device
¨ Noise, wind speed, illumination, luminance, temperature measuring devices
¨ Weight, force measurement devices
¨ Foot pressure measuring device
¨ “Fundamentals of Human Factors” (40160323)
¨ “Advanced Human Factors” (40160213)
Management and Organizational Ergonomics (Room 524A)
Objectives: To support teaching and research in working team study (individual characteristics, working environment, performance measurement and improvement, etc.)
May use the devices above
¨“Essentials of Contemporary Management” (30160112)
¨“Work Organization” (80160022)
¨“Human Factors” (70160542)
Cognitive Ergonomics and Human-Computer Interaction (Room 524B)
Objectives: To support teaching and research in developing methods and tools for evaluating and improving human’s performance for information products and services, especially in the cognitive ergonomics and HCI domains.
Usability testing and user study room
¨Advance Human Factors Seminar (80160332)
¨ Human Computer Interaction (80160132)
¨Advanced Human Factors (40160213)
¨Systematic Product Design& Development (80160283)
¨ Ergonomics and Work Organization (70160043)
¨ Human Factors (70160542)
Cross-Culture and Ubiquitous Design (Room 524C)
Objectives: To support teaching and research in developing methods and tools for studying culture effect for some important aspects, such as hazard perception, interface design, buying decision-making, and internet use interactions.
¨Ergonomics and Work Organization (70160043)
¨Human Computer Interaction (80160132)
¨Business Communication (40160432)
Usability and User Experience (Room 524D)
Objectives: To support teaching and research in developing methods and tools for evaluating and improving the usability and user experience of products and services.
Driving Safety and Human-System Simulation (Room 521B)
Objectives: To support teaching and research in developing methods and simulation tools to measure driver’s characteristics, capabilities, and driving skills, and change driver’s intentions for some unsafe behaviors.
¨Desktop simulator, full-scale driving simulator, and developed driving scenarios
Motion tracking system with 8 CCD cameras and human-in-the-loop simulations
¨Polhemus magnetic motion tracking system (Fastrack and Patriot)
¨Modeling and simulation softwares, Vega, 3DMAX, Virtools, etc.
¨Research Seminars for Freshmen (university level course)
¨“Fundamentals of Human Factors” (40160323)
¨“Advanced Human Factors” (40160213)
Human Error and System Safety (Room 524E)
Objectives: To support teaching and research in developing methods and tools for evaluating and analyzing human’s reliability and improving system safety.
Software to simulate nuclear operations.
¨Safety Engineering (40160192)
¨Reliability and Maintainability Engineering (40160532)
¨Contemporary Safety Engineering (80160052)
Social Computing and Mobile Computing (Room 524F)
Objectives: To support teaching and research in developing methods and tools for studying social computing and mobile computing.
LEL was established to support teaching and research. Currently, the experiments for both undergraduate and graduate courses can be conducted in the lab, as shown in Table 2.
Table 2 IE courses served by the LEL
Introduction to Logistics
Production Planning and Control
Logistics Networks Planning
Advanced Inventory Control
Advanced Logistics Networks
Figure 1 shows the relationships between logistics system components and four courses, as well as seven related experiments that support the courses. Figure 2 shows the framework and layout of the LEL with four mixed parts. They are mixed model assembly line (MMAL), automatic storage and retrieval system (AS/RS), sorting center, and network platform. Figure 3 shows experimental designs.
Figure 1 The framework of logistics systems
Figure 2 Layout of the Logistics Engineering Lab
Product structure analysis
Working on the mixed-model assembly line
Structure of the bullwhip effect experiment
Figure 3 Examples of experimental design
Through years of effort, we have achieved significant impact on IE education in China as well as in the world, as proved by the following facts:
The LEL has been the best among the IE programs in China, as unanimously acknowledged by all the attendees.
The LEL has provided laboratory design and construction consultancy for many universities in other IE programs.
The LEL won the 2007 Innovations in Curriculum Award, IIE.
The impact of the LSL extends beyond campus. The industry practitioners in our continuing education programs benefit as well. Through the experiments, they learned to combine their experience with the theories covered in our IE training program.
The PEL provides an industry-oriented training platform, prepares students with systematic view and practical skills, and cultivates highly competent industrial engineers for global manufacturing. The objectives of PEL are to become an educational platform for creative thinking in manufacturing engineering and to explore the next generation manufacturing modes.
The PEL is designed to demonstrate a wide collection of industrial systems and provide a platform for research of various manufacturing industries. The following list is the facilities in the lab:
Production lines, including sewing production and assembly lines
Single piece and small batch production with robot operations, CNC milling, and CNC turning
Batch processes with molding production
Continuous processes with bottling
Engraving machine (quantity: 2)
CNC Lathe (1)
Industrial robot (2)
Multi-functional sewing machine (3)
Integrated embroidery and sewing machine (1)
Belt conveyor (1)
Bottling machine (1)
3-D laser scanner (1)
Figure 4 Facilities in the production engineering laboratory
Figure 5 The Students in the Lab and Products of the Student Experiments
Table 3 lists some of the experiments in courses.
Table 3 IE courses served by the PEL
CNC programming and machining
Introduction to Modern Manufacturing System and Experiment (40160573)
Robot application and simulation
Manufacturing Systems and Automation (40160183)
Design and operational management of sewing production systems
Production Planning and Control (40160173)
Practice of reverse engineering
Practice of forming production systems
Fundamentals of Manufacturing Engineering (30160133)
Design and implementation of chemical processes
Quality control and management
Statistical Quality Control (40160203)
Design and application of production information systems
Management Information Systems I (40160243)
4 Computing and Simulation Lab (CSL)
CSL is aimed at providing computing and simulation support for teaching and research for the dep
artment. It was re-constructed in April, 2008, with significant upgrade of high performance computing workstations and software packages. CSL now has two major units, with the high performance computing server groups and workstations located in Room 601, and the system simulation unit located in Room 512. The total space is 120 m2. Currently, CSL has the following hardware facilities:
High performance computing servers such as Sun Fire X4600, HP ProLiant DL580 G5, IBM System X3400, and DELL PowerEdge2900 with high storage capacity devices.
High performance graphic workstation, Sun Ultra 40 with high-end graphics card and high-resolution rendering performance
Thirty-eight high performance computers, each with many software packages installed, for various simulation purposes.
Image acquisition device, projectors, and video- conference system
CSL has the following licensed commercial and self-developed software packages:
Logistics Practice Network Experimental Platform
Production Management System
Modeling software: Matlab, Mathematica,
Statistics and optimization software: MiniTab, Spss, CPLEX, Xpress-MP, etc.
Simulation software: Arena, Enterprise Dynamic, Anylogic, Simo, Flexsim.
Reliability software: Weibull++, ALTA Pro, BlockSim FTI, Xfmea, Lambda Predict
Enterprise Planning Resource software: Proplanner Product Engineer (Time Estimation, Line Balancing, Work Instructions, Ergonomics Assessments)
CAD software: Catia, Pro/Engineer, AutoCAD, 3ds max
Figure 6 shows the logistics system experiment platform software that was developed by ourselves.
Figure 6 Logistics system experiment platform
CSL supports experiments of the following courses:
Modeling and Simulation (40160083)
Introduction to Supply Chain Management (80168122)
Facilities Planning (40160052)
Theory and Practice of Project Management (80160082)
Transportation and Distribution Management (80160322)
Enterprise Information Management (80160032)
Introduction to Modern Manufacturing System and Experiment (40160573)
Distribution Systems Modeling and Analysis (80160152)