Bo Li

Ph.D. in Business Administration (Information and Operations Management), Texas A&M University, 2016

M.S. in Manufacturing Systems and Technology, Nanyang Technological University, 2010

M.Eng. in Manufacturing, Massachusetts Institute of Technology, 2009

B.Eng. in Mechanical Engineering and Automation, Shanghai Jiao Tong University, 2008

Prior to joining Wenzhou-Kean University, Bo Li is an Associate Professor and former Academic Director at the Ningbo China Institute for Supply Chain Innovation, a member of the MIT Global SCALE Network, and a Research Affiliate at the MIT Center for Transportation and Logistics. He was a visiting scholar at MIT in 2017 and 2020. Before entering academia, he worked as a manufacturing design engineer at KLA-Tencor in Singapore. He is an editorial review board member at Decision Sciences and Management Review. He has received a general program grant from National Natural Science Foundation of China, a grant from Zhejiang Province Qianjiang Talent Program, two grants from Ningbo Municipal Natural Science Foundation, and two grants from the Social Science Alliance of Ningbo. He has received Scientific Advancement Award (2nd level) from China Federation of Logistics and Purchasing.

His research examines decision making in operations and supply chain management, with particular emphasis on production and inventory systems, supply uncertainty, risk management, and digital services. His work has appeared in journals including Production and Operations Management, International Journal of Production Economics, IISE Transactions, Naval Research Logistics, and European Journal of Operational Research. His research also extends to cloud and edge computing, supply chain digitalization, healthcare operations, and empirical supply chain problems.

Li, B.* and Wolff, P. (2026). Heuristics to Minimize Conditional Value-at-Risk for A Multi-Item Stochastic Production-Inventory System, Journal of Management Analytics. https://doi.org/10.1080/23270012.2026.2669068

Shi, Z., Li, B.*, & Zhang, X. (2026). Comparing Approximations and Heuristics for A Production-Inventory System Under a Conditional Value-at-Risk Objective Over Various Durations, Computers and Operations Research. 188(1), 107369. https://doi.org/10.1016/j.cor.2025.107369

Li, B.*, Tan, Z., Arreola-Risa, A., & Huang, Y. (2023). On the Improvement of Uncertain Cloud Service Capacity. International Journal of Production Economics, 258, 108779. https://doi.org/10.1016/j.ijpe.2023.108779.

Li, B. and Liu, S.* (2023). When to Swing into High Gear? A Time-Limit Approach to Problem Escalation. IISE Transactions, 55(6), 644–655. https://doi.org/10.1080/24725854.2022.2088903

Li, B.* and Arreola-Risa, A., (2023). Managing a Bone Marrow Transplant Centre to Maximise Patients' Health Benefits. International Journal of Production Research, 61(6), 1771–1795. https://doi.org/10.1080/00207543.2022.2047239

Li, B.* and Kumar, S. (2022). Managing Software-as-a-Service: Pricing and Operations, Production and Operations Management, 31(6), 2588-2608. https://doi.org/10.1111/poms.13729

Li, B.* and Arreola-Risa, A. (2022). Minimizing Conditional Value-at-Risk under a Modified Base-Stock Policy, Production and Operations Management, 31(4), 1822-1838. https://doi.org/10.1111/poms.13649

Li, B.* and Arreola-Risa, A. (2021). On Minimizing Downside Risk in Make-to-Stock, Risk-Averse Firms, Naval Research Logistics, 68(2), 199-213. https://doi.org/10.1002/nav.21941

Li, B.* and Kumar, S. (2018). Should You Kill or Embrace Your Competitor: Cloud-Service and Competition Strategy. Production and Operations Management, 27(5), 822-838. https://doi.org/10.1111/poms.12843

Li, B.* and Arreola-Risa, A. (2017). Financial Risk, Inventory Decision and Process Improvement for A Firm with Random Capacity. European Journal of Operational Research, 260(1), 183-194. http://dx.doi.org/10.1016/j.ejor.2016.12.007