Personal profile
Personal profile
Dr. Liu joined Nottingham University Business School China as an Assistant Professor of Management Science and Analytics in September 2023. He obtained his Ph.D. from Politecnico di Milano and has been awarded the Marie Curie Fellowship by the European Union. Previously, he received a master degree in Industrial Engineering from Tsinghua University and had several years' experience in the industry.
His current research focuses on data-driven models and methodologies for decision-making in healthcare operations management problems. For details, please visit his personal page: https://lei-liu.com/
Teaching
Undergraduate
- BUSI2124 Introduction to Management Science for Business Decisions
- BUSI2193 Business Operations Analytics
Collaboration Opportunities
PhD position opening.
Disciplines
- Management Science and Engineering
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Collaborations and top research areas from the last five years
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Towards digital twin-enhanced control policies: A knowledge-based classification of release and dispatching policies in manufacturing systems
Urgo, M., Terkaj, W. & Liu, L., Dec 2025, In: CIRP Journal of Manufacturing Science and Technology. 63, p. 310-335Research output: Journal Publication › Article › peer-review
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A branch-and-bound approach to minimise the value-at-risk of the makespan in a stochastic two-machine flow shop
Liu, L. & Urgo, M., 2024, In: International Journal of Production Research. 62, 6, p. 2107-2123 17 p.Research output: Journal Publication › Article › peer-review
Open Access9 Citations (Scopus) -
Robust scheduling in a two-machine re-entrant flow shop to minimise the value-at-risk of the makespan: branch-and-bound and heuristic algorithms based on Markovian activity networks and phase-type distributions
Liu, L. & Urgo, M., 2 Nov 2023, In: Annals of Operations Research.Research output: Journal Publication › Article › peer-review
3 Citations (Scopus) -
Robust scheduling of remanufacturing processes for the repair of turbine blades
Liu, L. & Urgo, M., Jan 2023, In: CIRP Annals - Manufacturing Technology. 72, 1, p. 425-428 4 p.Research output: Journal Publication › Article › peer-review
Open Access3 Citations (Scopus) -
A Robust Scheduling Framework for Re-Manufacturing Activities of Turbine Blades
Liu, L. & Urgo, M., 1 Mar 2022, In: Applied Sciences (Switzerland). 12, 6, 3034.Research output: Journal Publication › Article › peer-review
Open Access6 Citations (Scopus)