INTRODUCTION

Dr. Dong Yang joined Glorious Sun School of Management, Donghua University in spring 2009. He is currently a professor in the School of Management, Donghua University. He received his doctoral degree majored in computer science and engineering at Shanghai Jiao Tong University in 2003. He His research interests include Operational research, product configuration optimization. Dr. Yang has published over 30 SCI-indexed journal papers, and presided over several scientific projects.

Education

• 1999.04-2003.07  Computer Science and Engineering, School of Electronical Engineering, Shanghai Jiao Tong University, Ph.D.

• 1996.09-1999.04  Mechanical Engineering, School of Mechanical Engineering, University of Electronic Science and Technology of China, M.S.

• 1985.09-1989.07  Mechanical Engineering, School of Mechanical Engineering, Fuzhou  University, B.S.

Work Experience

• since 2009.09    Glorious Sun School of Business and Management, Donghua University, Deputy Dean, Professor

• 2005.09-2009.09  School of Mechanical Engineering, Shanghai Jiao Tong University, Associate Professor

• 2003.09-2005.09  School of Mechanical Engineering, Shanghai Jiao Tong University, Assistant Professor

Academic Experience

• 2013.02-2014.03  Georgia Institute of Technology, USA, Visiting Scholar

• 2007.06-2007.10  La Trobe University, Australia, Visiting Scholar

Honors and Awards

• 2005  Scientific and Technological Progress Awards of Shanghai, Second-Class

ACADEMIC ACHIEVEMENTS

Journal Papers

• Yang, D., Li X., Jiao, J., & Wang, B. (2018). Decision support to product configuration considering component replenishment uncertainty: A stochastic programming approach. Decision Support Systems, 10: 108-118.

• Li, X., & Yang, D. (2018). A scenario-based stochastic programming approach for the product configuration problem under uncertainties and carbon emission regulations. Transportation Research Part E: Logistics and Transportation Review, 115:126-146.

• Yang, D., Jiao, J., & Ji, Y. (2015). Joint optimization for coordinated configuration of product families and supply chains by a leader-follower Stackelberg game. European Journal of Operational Research, 246:263-280.

• Dai, R., Hu, M., & Yang, D. (2015). A collaborative operation decision model for distributed building clusters. Energy. 84(1):759-773.

• Yang, D., & Dong, M. (2013). Applying constraint satisfaction approach to solve product configuration problems with cardinality-based configuration rules. Journal of Intelligent Manufacturing. 24(1):99-111.

• Chang, X., Dong, M., & Yang, D. (2013). Multi-objective real-time dispatching for integrated delivery in a Fab using GA based simulation optimization. Journal of Manufacturing Systems, 32(4):741-751.

• Yang, D., & Dong, M. (2012). A dynamic constraint satisfaction approach for configuring structural products under mass customization, Engineering Applications of Artificial Intelligence, 25(8): 1723-1737.

• Yang, D., & Dong, M. (2012). A constraint satisfaction approach to resolving product configuration conflicts. Advanced Engineering Informatics. 26(3), 592-602, 2012. 11．

• Yang, D., & Dong, M. (2012). A hybrid approach for modeling and solving product configuration problems. Concurrent Engineering Research and Applications, 20(1): 28-40.

• Yang, D., Miao, R., & Wu, H. (2009). Product configuration knowledge modeling using ontology web language. Expert Systems with Applications, 36(3): 4399‐4411.

Teaching and Research Projects

• 2020-2023  Data-driven product configuration optimization considering CSR, National Scientific Foundation of China (71971053), Principal Investigator

• 2014- 2017    Product configuration optimization under ATO supply chain, National Scientific Foundation of China (71371045), Principal Investigator

• 2010- 2012  Product configuration modeling for luxury bus, National Scientific Foundation of China (70971084), Principal Investigator

• 2005-2007  Knowledge-driven E-government modeling, National Scientific Foundation of China (70471023), Principal Investigator

• 2019-2021   Product and process configuration under cloud manufacturing, MOE (Ministry of Education in China) Project of Humanities and Social Sciences (18YJA630129), Principal Investigator

• 2019-2021  Product customization under sharing manufacturing, Shanghai philosophy and social science planning project (2018BGL001), Principal Investigator

TEACHING COURSES

• Undergraduate: Operations Research, Machine Learning

• Graduate: Machine Learning with R, Academic Writing