Phone: 027-87559417


Academic Areas: Computer Integrated Manufacturing(CIM), Advanced Manufacturing Systems(AMS), Manufacturing Execution Systems(MES), Management of Industrial Production(MIP), International Industrial Engineering (IIE)

Prof. Rao was born in April,1968 at Chibi City,Hubei Province, P.R.China. In 1989, he got his Bachelor's degree in mechanical engineering from Huazhong University of Science & Technology (HUST). 1992, he received his Master's degree from the same university, afterwards, he was hired as a teacher at HUST. In 1999, he got Ph.D in mechanical engineering and automation during working. From October to December 2001, he joined a MIP training course at Aachen University of Technology, Germany. In 2002, he was promoted to the rank of professor. From September 2004 to September 2005, he worked as a visiting scholar at the department of engineering science of Oxford University, UK. From 2006 to 2013, he was a vice director of the State Key Lab of Digital Manufacturing Equipment & Technology at HUST. At present, he is a professor and Ph.D supervisor at School of Mechanical Science & Engineering, HUST.

Prof. Rao is a senior member of China Mechanical Engineering Society. He is a director of the Hubei Provincial Association for Artificial Intelligence. Since 2005, he has been a member of I*PROMS (Innovative Production Machines and Systems), EU. He is a reviewer of International Journal of Production Research,International Journal of Advanced Manufacturing Technology, Journal of Chinese Mechanical Engineering, etc. He also is a communication expert of the National Natural Science Foundation of China.

Academic Degrees

1985.9-1989.6 Huazhong University of Science & Technology B.E.

1989.9-1992.6 Huazhong University of Science & Technology M.E.

1996.9-1999.9 Huazhong University of Science & Technology Ph.D

Professional Experience

1992.6-1996.8: worked as a teaching assistant at School of Mechanical Science & Engineering (MSE), Huazhong University of Science & Technology (HUST) 

1996.9-1999.8: worked as a lecturer at MSE, HUST 1999.9-2002.8: worked as an associate professor at MSE, HUST 

2002.9-present: work as a professor at MSE, HUST (during 2004.9-2005.9, worked as a visiting scholar at Oxford University, UK.)

Selected Publications

1.Y. Rao, P. Li, X. Shao Agile manufacturing system control based on cell re-configuration. International Journal of Production Research, Vol. 44, No. 10, 15 May 2006, 1881–1905.

2.Y. Rao, P. Li, X. Shao, A CORBA- and MAS-based architecture for agile collaborative manufacturing systems. International Journal of Computer Integrated Manufacturing, Vol. 19, No. 8, December 2006, 815–832

3.Y. Rao, G. Huang, P Li, et. al. An integrated manufacturing information system for mass sheet metal cutting. Int J Adv Manuf Technol, v 33, n 5-6, June, 2007, p 436-448

4.B. Wang, Y. Rao, X.Shao et al. Scheduling mixed-model assembly lines with cost objectives by a hybrid algorithm. Intelligent Robotics and Applications, Lecture Notes in Computer Science, Vol. 5315, 2008, pp 378-387.

5.C. Zhang, Y.Rao and P. Li. An effective hybrid genetic algorithm for the Job-shop scheduling problem. International Journal of Advanced Manufacturing Technology, 2008.11, 39(9-10): 965-974

6.Y. Rao, W. Zhou and F. He,Development of manufacturing execution system with production modelling approaches. International Journal of Internet Manufacturing and Services, 2010, 2(3/4):265-280.

7.Y.Rao, K.Wang and M.Wang. Modeling impact of choice complexity on production rate in mixed-model assembly system. International Journal of Advanced Manufacturing Technology,2012,59(9-12):1181-1189

8.Y. Zhou, Y. Rao, G. Zhang, et al. A new hybrid solution based on memetic algorithm for irregular packing problem. Advanced Science Letters, 2012, 15(1): 396-402

9.Y.Rao, M.Wang and K. Wang. Scheduling a single vehicle in the just-in-time part supply for a mixed-model assembly line, Computers & Operations Research, 2013.40:2599-2610

10.D. Qi and Y. Rao. An integrated approach on cut planning and nesting for metal structures manufacturing. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture. 2014, 228: 527-539

11.X.Shao and Y.Rao. Optimization theory and methods for manufacturing system running (in Chinese). Beijing: Science Press,2010

Awards and Honors

1.“Research, development and application of MES key technologies for automobile manufacturing”, winning the First Class Prize of Ministry of Education, Science and Technology Progress Award in 2009

2.“The optimization technologies and manufacturing execution systems for manufacturing process of finished automobiles and their engines”, winning the Chinese First Class Prize of Science and Technology in Mechanical Industry in 2010

3.“The optimization platform for large-scale mixed production process and its application in automobile industry”, winning the Second Class Prize of The State Scientific and Technological Progress Award in 2011

Courses Taught

1.Production and Operations Management (for undergraduates)

2.Computer Integrated Manufacturing & Manufacturing Execution Systems (for postgraduates)

3.Seminar of Advanced Manufacturing Engineering – Modern Manufacturing Systems (for Ph.D candidates)


Undertaking research projects:

1.“Response sensitivity analysis and sensitive assembly parameter optimization for all-direction propulsors”, a National Basic Research Program of China (973 Program), 2014-2018

2.“The production management and control integrated system for complex curved surface part NC-machining lines”. a National Science and Technology Major Project of China, 2012-2015

3.“Research on layout optimization algorithm with constraints”. An enterprise R&D project, 2014-2015

Achievements (Patents):

1.“An intelligent rack device with visual monitoring function”. Patent No. ZL 2008 1 0048278.0

2.“An automatic feeding device used for mixed-model assembly lines”. Patent No. ZL 2009 1 0060430.1

3.“An automatic layout method for Insulating paperboards”. Patent No. ZL 2012 1 0053494.0

4.“A monitoring method for work in process of blade production”. Patent application No.201310442034.1

5.“A monitoring method and system for management of steel plate remnants”. Patent application No.201310442033.7

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