Dr. Wenyan Song

Email :songwenyan@buaa.edu.cn

[Biography]

Wenyan Song has been professor at School of Economics and Management, Beihang University (Beijing Univ of Aeronautics and Astronautics), China since 2022 on Renewable & Sustainable Energy Reviews, Journal of Cleaner Production, International Journal of Production Research, Journal of Manufacturing Systems, and Journal of Engineering Design, among others. He previously worked on several research projects on development of Product-Service Systems. He earned his PhD in Industrial Engineering at Shanghai Jiao Tong University (SJTU), and worked as a postdoctoral researcher at Technische Universitaet München (TUM), Germany.

His Homepage at Researchgate:https://www.researchgate.net/profile/Wenyan_Song2

[Research Interests]

Product/service systems (PSS); Sustainable Supply Chain Management (SSCM); Failure Mode and Effect Analysis.

[Selected Project]

Developing new methods for PSS requirements management. National Natural Science Foundation of China. PI.

[Selected Publications]

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

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

[3] 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.

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

[5] Song, W.*, & Sakao, T. (2016). Service conflict identification and resolution for design of product–service offerings. Computers & Industrial Engineering, 98, 91-101.

[6] 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.

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

[8] 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.

[9] 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.

[10] 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.

[11] 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.

[12] Song, W.*, Ming, X., Wu, Z., & Zhu, B. (2013). Failure modes and effects analysis using integrated weight-based fuzzy TOPSIS. International Journal of Computer Integrated Manufacturing, 26(12), 1172-1186.

[13] 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.

[14] 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.

[15] Song, W.*, Ming, X., & Xu, Z. (2013). Integrating Kano model and grey–Markov chain to predict customer requirement states. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 0954405413485365.

[16] Song, W.*, Ming, X., & Wu, Z. (2013). An integrated rough number-based approach to design concept evaluation under subjective environments. Journal of Engineering Design, 24(5), 320-341.

[17] Song, W.*, Ming, X., & Wang, P. (2013). Collaborative product innovation network: Status review, framework, and technology solutions. Concurrent Engineering, 21(1), 55-64.