Staff profile
Dr Li Ding
Professor in Operations Management
Affiliation | Telephone |
---|---|
Professor in Operations Management in the Business School | +44 (0) 191 33 45108 |
Biography
Li Ding is a Professor in Operations Management at Durham University Business School and Faculty EDI lead. She holds a Ph.D. in Management Science from the University of Edinburgh. Her general research interests encompass the application of probability, statistics, operations research, and machine learning methods to business problems, with a specific focus on resource allocation challenges within operations and supply chain management. Her research has been published in journals such as Management Science, Production and Operations Management, OR Spectrum, Probability in the Engineering and Informational Sciences, and the Journal of the Operational Research Society. Additionally, her work has received funding from EPSRC and UKRI, addressing ICU bed allocation problems during the pandemic. On teaching front, Li instructs courses on Operations Management, Decision-Making and Business Modelling, and Supply Chain Risk Management for both Undergraduates and Postgraduates.
Research interests
- Decomposition, Bandit problem
- Markov Decision Processes
- Supply chain disruption and risk management
- Healthcare operations/economics
- Behavioural operations management/operations research
- Behavioural economics/finance
Publications
Journal Article
- Petropoulos, F., Laporte, G., Aktas, E., Alumur, S. A., Archetti, C., Ayhan, H., Battarra, M., Bennell, J. A., Bourjolly, J.-M., Boylan, J. E., Breton, M., Canca, D., Charlin, L., Chen, B., Tugrul Cicek, C., Jr, L. A. C., Currie, C. S., Demeulemeester, E., Ding, L., Disney, S. M., …Zhao, X. (2024). Operational Research: Methods and Applications. Journal of the Operational Research Society, 75(3), 423-617. https://doi.org/10.1080/01605682.2023.2253852
- Li, D., Ding, L., & Connor, S. (2020). When to Switch? Index Policies for Resource Scheduling in Emergency Response. Production and Operations Management, 29(2), 241-262. https://doi.org/10.1111/poms.13105
- Sun, J., Ding, L., Guo, M., & Li, Y. (2016). Ownership, Capital Structure and Financing Decision: Evidence from the UK. The British Accounting Review, 48(4), 448-463. https://doi.org/10.1016/j.bar.2015.04.001
- Zhang, Z., Ding, L., & Zhang, F. (2015). Optimal Currency Composition for China’s Foreign Reserves: a Copula Approach. World Economy, 38(12), 1947-1965. https://doi.org/10.1111/twec.12237
- Zhang, Z., Ding, L., & Zhou, S. (2014). Investor learning and mutual fund family. Journal of Empirical Finance, 26, 171-188. https://doi.org/10.1016/j.jempfin.2013.12.001
- Zhang, Z., Ding, L., Zhou, S., & Fu, Y. (2014). Fund Family Tournament and Performance Consequences: Evidence from the UK Fund Industry. Multinational finance journal, 18(1/2), 43-84
- Ding, L., & Glazerbrook, K. (2013). Dynamic routing in distinguishable parallel queues: an application of product returns for remanufacturing. OR Spectrum, 35(3), 585-608. https://doi.org/10.1007/s00291-012-0293-4
- Ding, L., & Mahbubani, J. (2013). A two-stage decision model of vertical integration. Management Decision, 51(2), 306-320. https://doi.org/10.1108/00251741311301830
- Argon, N., Ding, L., Glazebrook, K., & Ziya, S. (2009). Dynamic routing of customers with general delay costs in a multiserver queuing system. Probability in the Engineering and Informational Sciences, 23(2), 175-203. https://doi.org/10.1017/s0269964809000138
- Ding, L., Glazebrook, K., & Kirkbride, C. (2008). Allocation Models and Heuristics for the Outsourcing of Repairs for a Dynamic Warranty Population. Management Science, 54(3), 594-607. https://doi.org/10.1287/mnsc.1070.0750
- Ding, L., & Glazebrook, K. (2005). A static allocation model for the outsourcing of warranty repairs. Journal of the Operational Research Society, 56(7), 825-835. https://doi.org/10.1057/palgrave.jors.2601904
Supervision students
Samar Aoun
Xinyu Li
Yipu Yao
Zhenghong Qiu
A Top Global Business School
We are an international triple accredited business school. Sharing insights, supporting innovation and teaching tomorrow’s leaders. We combine our academic excellence, insightful research and exceptional global business connections, to equip our students to become innovative business thinkers.