Publications

5. Lei Liu, Marcello Urgo. Robust scheduling in a two-machine re-entrant flow shop to minimise the value-at-risk of the makespan: a branch-and-bound and heuristic algorithms based on Markovian activity networks and phase-type distribution, Annals of Operations Research. [link]

4. Lei Liu, Marcello Urgo. 2023. Robust scheduling of a remanufacturing process for the repair of turbine blades, CIRP Annals-Manufacturing Technology. [link]

3. Lei Liu, Marcello Urgo. 2023. Risk-based robust production scheduling: a branch-and-bound approach for the stochastic two-machine flow shop scheduling problem to minimise the value-at-risk, International Journal of Production Research. [link][pdf]

2. Lei Liu, Marcello Urgo. 2022. A robust scheduling framework for re-manufacturing activities of turbine blades, Applied Sciences, 12(6):3034. [link]

1. Lei Liu, Marcello Urgo. 2022. Scheduling remanufacturing activities for the repair of turbine blades: an approximate branch and bound approach to minimize a risk measure. Selected Topics in Manufacturing. Lecture Notes in Mechanical Engineering. Springer. [link][pdf]

Conferences

3. A branch and bound approach for stochastic 2-machine flow shop scheduling with rework.

• 18th International Workshop on Project Management and Scheduling, Ghent, Belgium, 04/2022 [pdf][slides] [video]
• Finalist, Best Student Award

2. Scheduling remanufacturing activities for the repair of turbine blades: an approximate branch and bound approach to minimize a risk measure.

• XV AITeM Conference (Italian Association of Manufacturing Technology), Milano, Italy, 01/2022 [pdf]
• Finalist, Young Researcher Award

1. A branch-and-bound approach for the two-machine flow shop stochastic scheduling problem to minimize the value-at-risk.

• 31st European Conference on Operational Research, Athens, Greece, 07/2021. [slides][video]

Awards

• Marie Curie Fellowship, European Commission, 2020.02-2023.01
• Finalist, Best Student Paper Award, 18th International Workshop on Project Management and Scheduling, 2022
• Finalist, AITeM Young Researcher Award, Italian Association of Manufacturing Technology, 2021

Membership

• Member, EURO Working Group on Project Management and Scheduling (PMS)

PhD Thesis

• Risk-based scheduling in the remanufacturing of turbine blades [slides]