Research output per year
Research output per year
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/HOME/
Teaching
Undergraduate
- BUSI2124 Introduction to Management Science for Business Decisions
- BUSI2193 Business Operations Analytics
Disciplines
- Management Science and Engineering
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Collaborations and top research areas from the last five years
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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
2 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
1 Citation (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 Access -
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 Access4 Citations (Scopus) -
Scheduling Remanufacturing Activities for the Repair of Turbine Blades: An Approximate Branch and Bound Approach to Minimize a Risk Measure
Liu, L. & Urgo, M., 2022, Lecture Notes in Mechanical Engineering. Springer Science and Business Media Deutschland GmbH, p. 41-59 19 p. (Lecture Notes in Mechanical Engineering).Research output: Chapter in Book/Conference proceeding › Book Chapter › peer-review
1 Citation (Scopus)