Song Wenyan
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Wenyan Song



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Dr. Wenyan Song is a professor in the School of Economics and Management at Beihang University. He is named in the "World's Top 2% of Scientists" List and the Elsevier "China Highly Cited Researchers" List (2020-2022).  His research focuses on product/service systems engineering, sustainable supply chain management, quality management, and risk management. Dr. Song has published more than 70 academic papers, and most of his research has been published in International Journal of Operations & Production Management, European Journal of Operational Research, IEEE Transactions on Engineering Management, IEEE Transactions on Reliability, and other international peer-reviewed journals. In addition, he has independently published one academic monograph with the publisher Springer, three books and textbooks with the China Machinery Industry Press. His research has been cited more than 3700 times in Google Scholar with an H-index of 36. Dr. Song has also obtained five authorized national invention patents. He is the Principal Investigator/Co-Principal Investigator of three national research projects including the National Key Research and Development Program of China and the National Natural Science Foundation of China.

    Dr. Song has been a reviewer for nearly 30 international SCI/SSCI journals, including IEEE T. Reliab., Int. J. Prod. Res., and Int. J. Prod. Econ., etc. He also serves as an expert of the China Service-oriented Manufacturing Alliance, a member of the 3D Printing and Social Manufacturing Committee of the Chinese Society of Automation, and a Scientific Committee Member of the 10th CIRP Conference on Industrial Product-Service Systems, and an Editorial Board Member of the Intelligent Manufacturing Service Special Issue of China Mechanical Engineering Journal.

    Students under his supervision have been awarded National Scholarships, Beijing Outstanding Graduates, Beihang Doctoral Student Excellence Academic Funds, Beihang Outstanding Master's Thesis, Beihang Graduate Student Outstanding Academic Thesis Award, Beihang Outstanding Graduates, and so on.

Research Interests:

product/service systems engineering, sustainable supply chain management, quality management, and risk management.


[1]Song, W., Han, Y.H. and Sroufe, R. (2022), Substitution and complementarity dynamics in configurations of sustainable management practices, International Journal of Operations & Production Management, ahead-of-print. (ABS 4

[2]Wang, Q., Jia, G., & Song, W.*(2022). Identifying critical factors in systems with interrelated components: A method considering heterogeneous influence and strength attenuation. European Journal of Operational Research. DOI:10.1016/j.ejor.2022.02.012 (ABS 4,

[3]Song, W.*, Li, J., Li, H., & Ming, X. (2020). Human factors risk assessment: An integrated method for improving safety in clinical use of medical devices. Applied Soft Computing, 86, 105918. (Q1

[4]Song, W.*, Niu, Z., & Zheng, P. (2021). Design concept evaluation of smart product-service systems considering sustainability: An integrated method. Computers & Industrial Engineering, 159, 107485. (Q1

[5]Wang, X., Fang, H., & Song, W.*(2020). Technical attribute prioritisation in QFD based on cloud model and grey relational analysis. International Journal of Production Research, 58(19), 5751-5768. (ABS 3,Q1)

[6]Song, W., & Sakao, T. (2018). An environmentally conscious PSS recommendation method based on users' vague ratings: A rough multi-criteria approach. Journal of Cleaner Production172, 1592-1606. (Q1)

[7]Song, W.*, & Sakao, T. (2017). A customization-oriented framework for design of sustainable product/service system. Journal of Cleaner Production, 140, 1672-1685. Q1

[8]Song, W.*, & Cao, J. (2017). A rough DEMATEL-based approach for evaluating interaction between requirements of product-service system. Computers & Industrial Engineering, 110,353-363. Q1

[9]Sakao, T., Song, W., & Matschewsky, J. (2017). Creating service modules for customising product/service systems by extending DSM. CIRP annals- Manufacturing Technology, 66(1), 21-24. Q1

[10]Song, W.* (2017). Requirement management for product-service systems: status review and future trends. Computers in Industry, 85, 11-22. Q2

[11]Song, W.*, & Sakao, T. (2016). Service conflict identification and resolution for design of product–service offerings. Computers & Industrial Engineering98, 91-101. Q1

[12]Song, W.*, Cao, J., & Zheng, M. (2016). Towards an integrative framework of innovation network for new product development project. Production Planning & Control, 27(12): 967-978. Q1

[13]Song, W.*, Wu, Z., Li, X., & Xu, Z. (2015). Modularizing product extension services: An approach based on modified service blueprint and fuzzy graph. Computers & Industrial Engineering, 85, 186-195. Q1

[14]Song, W.*, & Chan, F. T. (2015). Multi-objective configuration optimization for product-extension service. Journal of Manufacturing Systems, 37, 113-125. Q1

[15]Song, W.*, Ming, X., Han, Y., Xu, Z., & Wu, Z. (2015). An integrative framework for innovation management of product–service system. International Journal of Production Research, 53(8), 2252-2268. Q1

[16]Song, W.*, Ming, X., & Han, Y. (2014). Prioritising technical attributes in QFD under vague environment: a rough-grey relational analysis approach. International Journal of Production Research, 52(18), 5528-5545. Q1

[17]Song, W.*, Ming, X., Han, Y., & Wu, Z. (2013). A rough set approach for evaluating vague customer requirement of industrial product-service system. International Journal of Production Research, 51(22), 6681-6701. Q1

[18]Li, J., Fang, H., & Song, W.* (2019). Modified failure mode and effects analysis under uncertainty: A rough cloud theory-based approach. Applied Soft Computing, 78, 195-208. Q1

[19]Wang, Q., Jia, G., Jia, Y., & Song, W*(2021). A new approach for risk assessment of failure modes considering risk interaction and propagation effects. Reliability Engineering & System Safety, 216, 108044. 

[20]Fang, H., Li, J., & Song, W*.(2020). A new method for quality function deployment based on rough cloud model theory. IEEE transactions on engineering management

[21]Song, W., Xu, Z., & Liu, H. C. (2017). Developing sustainable supplier selection criteria for solar air-conditioner manufacturer: An integrated approach. Renewable and Sustainable Energy Reviews, 79, 1461-1471. JCR Q1

[22]Fang, H., Li, J., & Song, W*. (2018). Sustainable site selection for photovoltaic power plant: An integrated approach based on prospect theory. Energy Conversion and Management174, 755-768. JCR Q1

[23]Song, W., Ming, X., & Liu, H. C. (2017). Identifying critical risk factors of sustainable supply chain management: A rough strength-relation analysis method. Journal of Cleaner Production,143,100–115. JCR Q1

[24]Li, J., Fang, H., & Song, W*. (2018). Sustainability evaluation via variable precision rough set approach: a photovoltaic module supplier case study. Journal of Cleaner Production192, 751-765.JCR Q1

[25]Song, W.*, Ming, X., & Xu, Z. (2013). Risk evaluation of customer integration in new product development under uncertainty. Computers & Industrial Engineering, 65(3), 402-412. JCR Q1

[26]Liu, H-C., You, J., Song, W*. (2017). Failure Mode and Effect Analysis using Cloud Model Theory and PROMETHEE Method.  IEEE Transactions on Reliability,66(4), 1058-1072. JCR Q1

[27]Song, W.*, Ming, X., Wu, Z., & Zhu, B. (2014). A rough TOPSIS approach for failure mode and effects analysis in uncertain environments. Quality and Reliability Engineering International, 30(4), 473-486. JCR Q2

[28]Song, W.*, Zhu, Y., & Zhao, Q. (2020). Analyzing barriers for adopting sustainable online consumption: A rough hierarchical DEMATEL method. Computers & Industrial Engineering, 140, 106279.

[29] Liu, L., Song, W.*, & Han, W. (2020). How sustainable is smart PSS? An integrated evaluation approach based on rough BWM and TODIM. Advanced Engineering Informatics, 43, 101042. JCR Q1

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Personal information

Supervisor of Doctorate Candidates
Supervisor of Master's Candidates


Date of Employment:2014-07-01


Education Level:博士研究生




Alma Mater:上海交通大学

Discipline:Management Science and Engineering

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