Yupeng Li

Department of Industrial and System Engineering, School of Mining, China University of Mining and Technology, Xuzhou, 221116, China

E-mail: ypeng_li@163.com, 5604@cumt.edu.cn 

Education background

Ph.D., Mechanical Engineering (IE), Shanghai Jiaotong University, 2014

M.S., Resource Development & Planning, CUMT, 2009

B.S., Industrial Engineering, CUMT, 2006

Experience

Dean of Department of Industrial Engineering, CUMT, China, 2024.10-Present, full time

Associate Professor, School of Mining, CUMT, China, 2019.01- Present, full time

Lecturer, School of Mining, CUMT, China, 2014.12-2018.12, full time

Areas of Research Interests/ Research Projects

Engineering Design: Theories and Applications

Engineering Decision Making: Theories and Applications

Industrial Engineering in Manufacturing and Service

Honors And Awards

Outstanding Cases of Practical Teaching Reform in Coal-related Colleges and Universities, First Prize, 2025

Outstanding Teaching Teacher of CUMT, 2025

Outstanding Grassroots Teaching Organization of CUMT, 2025

Model Head Teacher of CUMT, 2024

Postgraduate Teaching Achievement Award of CUMT, Second Prize, 2024

Outstanding Supervisor Team of CUMT, 2024

Excellent Reviewer of Computer Integrated Manufacturing Systems, 2021-2024

Advanced Individual in Fostering Talents through Scientific Research, 2021

Academic Achievement

Selected Invention Patents:

Prof. Yupeng Li has published 3 invention patents.

1. Li YP, Cheng Y, Ni YB, (Approval Date: Sep. 2024), A complex product resilience optimization method based on the risk analysis of customer requirement evolution. CN116822057B, China.

2. Lian XZ, Li YP, Wang ZT, Li MZ, (Approval Date: Sep. 2017), A vehicle support frame device for vehicle repair. CN206465056U, China.

3. Chu XN, Lv GL, Li YP, Chu DX, (Approval Date: May. 2014), Top-down assembly design method of meteorological satellites, CN103793578A, China.

Selected Papers published in English Journals in recent 5 years:

Prof. Yupeng Li has published more than 70 pieces of papers in the field of Engineering Design and Decision Making.

1. Li Y*, Dong Y, Wang Y, et al. Product design opportunity identification through mining the critical minority of customer online reviews [J]. Electronic Commerce Research, 2025, 25: 211-239.

2. Li Y*, Huan J, Shen J, Chen L, Cao J. Cheng Y. Social network large-scale group decision-making considering dynamic trust relationships and historical preferences of decision makers in opinion evolution[J]. Information Fusion, 2025, 102837.

3. Ren H, Wang Y, Zhang J, Li Y*, Wang W. Research on propagation routing optimisation of product design change considering multi-domain network collaboration[J]. Journal of Engineering Design, 2024, 35(4): 430-459.

4. Ni Y, Li Y *, Zhang N. Optimizing margins of design parameters to reduce the change risk toward evolving customer requirements [J]. IEEE Transactions on Engineering Management, 2024, 71: 6133-6145.

5. Sha K, Li Y*, Dong Y, Zhang N. Modelling the dynamics of customer requirements considering their lability and sensitivity in product development[J]. Advanced Engineering Informatics, 2024, 59: 102296.

6. Cheng Y, Li Y*, Zhang N, Chen L, Cao J. A knowledge graph-enabled multi-domain mapping approach supporting product rapid design: A case study of new energy vehicles[J]. Advanced Engineering Informatics, 2024, 62: 102779.

7. Li Y*, Huan J, Liu M, Zhang N, Cao J, Chen L. Large-scale multiple criteria group decision-making with information emendation based on unsupervised opinion evolutions[J]. Applied Soft Computing, 2024, 112227.

8. Li Y*, Sha K, Li H, et al. Improving the elicitation of critical customer requirements through an understanding of their sensitivit [J]. Research in Engineering Design, 2023, 34: 327-346.

9. Li Y, Zhang M*, Zhang N, et al. Towards product evolution: from the perspective of user knowledge[J]. International Journal of Production Research, 2023, 61(20): 6829-6846.

10. Dong Y, Li Y*, Cao J, Zhang N, Sha K. Identification and evaluation of competitive products based on online user-generated content[J]. Expert Systems with Applications, 2023, 225(1): 120168.

11. Li Y*, Cheng Y, Ni Y, et al. Assessment of product resilience towards the changing customer requirements [J]. Journal of Engineering Design, 2023, 34: 8, 561-590.

12. Zhang N, Gao W, Li Y*, et al. Complex product configuration updating oriented by changing customer requirements [J]. Journal of Engineering Design, 2023, 34:7, 522-560.

13. Zhang N, Qin L, Yu P, Gao W, Li Y*. Grey-Markov model of user demands prediction based on online reviews[J]. Journal of Engineering Design, 2023, 34: 7, 487-521.

14. Li T, Zhang N, Ren H, Liu Q, Li Y*. Design change propagation routing in the modular product[J]. Advanced Engineering Informatics, 2022, 54: 101784.

15. Sha K, Li Y*, Zhao Z, Zhang N. Product redesign considering the sensitivity of customer satisfaction[J]. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 36(E31): 1-16.

16. Li Y*, Ni Y, Zhang N, et al. Towards the evolution characteristics of product structural properties based on the time-dependent network[J]. Journal of Engineering Design, 2022, 33(3): 207-233.

17. Li Y*, Ni Y, Zhang N, Liu Z. Modularization for the complex product considering the design change requirements[J]. Research in Engineering Design, 2021, 32: 507-522.

18. Li Y *, Zhang M, Chen D. Product obsolescence assessment based on the hybrid uncertain Information Axiom[J]. Journal of Engineering Design, 2021, 32(8): 375-396.

19. Ren H, Li T, Li Y* & Huan J. Multi -source design change propagation path optimisation based on the multi-view complex network model[J]. Journal of Engineering Design, 2021, 32(1): 28-60.

20. Wang Y, Li Y*. Outlier detection based on weighted neighbourhood information network for mixed-valued datasets[J]. Information Sciences, 2021, 564: 396-415

21. Li Y*, Liu M, Cao J, Wang X, Zhang N. Multi-attribute group decision-making considering opinion dynamics[J]. Expert Systems with Applications, 2021,184: 115479.

22. Li Y*, Chen H, Zhao Z. An integrated identification approach of agile engineering characteristics considering sensitive customer requirements[J]. CIRP Journal of Manufacturing Science and Technology, 2021, 35(10):13-24.

23. Li Y*, Wang Y, Li N. Abnormal operation status identification in warehousing based on neighborhood information entropy considering mixed-valued attributes[J]. International Journal of Production Research, 2021, 59(11): 5647-5660.