Ollie Thomasson

Ollie Thomasson is a Lecturer (Assistant Professor) in the Department of Management Information, Decisions & Operations at the School of Management, University of Bath. His research lies at the intersection of operations research, optimization, and industrial automation, with a focus on robotic systems and scheduling problems.

• Position: Assistant Professor (Lecturer)
• Institution: University of Bath
• School: School of Management
• Department: Management Information, Decisions & Operations
• Email: ot307@bath.ac.uk
• ORCID: 0000-0002-7868-1235

Ollie Thomasson holds a BSc (Hons) in Mathematics and a Post-Graduate Certificate in Education (PGCE) in Secondary Mathematics, both from the University of Southampton. He earned his PhD with a thesis on industrial scheduling optimization.

• PhD: Optimisation of Scheduling Problem with Industrial Applications (2021)
• BSc (Hons) Mathematics: University of Southampton (2011–2014)
• PGCE Secondary Mathematics: University of Southampton (2014–2015)

His research centers on optimization in industrial robotics, particularly in scheduling, routing, and workload allocation for twin-robot systems. He employs advanced techniques such as genetic algorithms, metaheuristics, linear programming, and mathematical modeling to solve complex production and logistics problems. His work is highly applicable to automated manufacturing and warehousing systems.

The recent publications reveal a consistent focus on twin-robot coordination, including job scheduling, palletising, and routing. These studies integrate computational experiments with real-world industrial scenarios, demonstrating strong applicability. Key themes include combinatorial optimization, algorithm design, and performance evaluation through simulation and modeling.

No scientific awards or fellowships are mentioned in the provided text.

Ollie Thomasson has not listed any students or advisees in the provided information. There is no mention of external grants or funding sources. However, his collaborative work with researchers such as Battarra, Erdoğan, and Laporte suggests active research engagement and team-based projects.

While no formal lab or research group is explicitly named, his research fingerprint indicates deep involvement in topics like robot scheduling, metaheuristics, and mathematical formulation. This suggests affiliation with an operations research or industrial optimization research team within the School of Management at the University of Bath.