Skip to main navigation Skip to main content

The University of Southampton

×

Phone:: (023) 8059 5512
Email:: A.Martinez-Sykora@soton.ac.uk

Dr Antonio Martinez-Sykora PhD

Associate Professor in Business Analytics

Antonio Martinez-Sykora, current director of CORMSIS (Centre of Operations Research, Management Science and Information Systems), is an Associate Professor in Business Analytics. He finished his PhD in June 2013 at the University of Valencia (Spain) and joined the Southampton Business School in September 2013 as a research assistant. In 2007, he received his BSc in Mathematics and BSc in Statistics and in 2009 he received the M.A.S in Operations Research.

His research focuses in a wide range of combinatorial optimisation problems, especially on cutting and packing problems and logistic planning problems such as vehicle routing, scheduling, cutting and packing and revenue management. He is a coordinator of the Euro Working Group on Cutting and Packing (ESICUP) and he has participated in various externally funded projects.

Research

Publications

Contact

Research interests

Cutting and Packing problems
Vehicle routing logistics
Revenue Management
Dynamic pricing

Participation in projects

Antonio Martinez-Sykora has several ongoing project funded by EPSRC and Innovate UK in vehicle routing and logistics, revenue management and cutting and packing.

PhD Supervision

Completed:

Ranga Abeysooriya – “Cutting Patterns for Efficient Production of Irregular-shaped Pieces”
Carlos Lamas-Fernandez – “From archaeology to 3D printing: Packing problems in the three dimensions”
Valeriya Griffiths – “A Cost-Driven Process Planning Framework for Selective Laser Melting”
Hang Nguyen – “Crew Scheduling for Vietnam Airlines”

ONGOING:

Korawit Fakkhong – “RESTRUCTURING THE SUPPLY CHAIN TO BETTER SERVE RURAL FARMERS: A CASE STUDY OF THAILAND’s MANGO SUPPLY CHAIN”.
Mohammed Alammar – “Multi-modal vehicle routing problems”.
Andy Oakey - “Last mile systems in the healthcare sector”.
Busra Biskin – “Optimising drone trajectories under different scenarios”
John Beasley – “Enhancing Value with Analytics: The case of Airport Strtegic Design”
Luigi Bobbio – “Optimising drone trajectories”
Mike Flynn – “Optimising pick up and delivery networks with cross dockings”

Department of Decision Analytics and Risk

Research member

Affiliate research groups

Advanced planning of linked logistics and operations, CORMSIS Centre for Operational Research, Management Sciences and Information Systems, Health Research Group, Supply Chain Management Research Group,

Sort via:TypeorYear

Articles

Conferences

Bayliss, C., Bennell, J. A., Currie, C., Martinez Sykora, A., & So, M. (2017). Dynamic pricing in the vehicle ferry industry. In INFORMS Revenue Management and Pricing Conference
Abeysooriya, R. P., Bennell, J., & Martinez Sykora, A. (2017). Efficient local search heuristics for packing irregular shapes in two-dimensional heterogeneous bins. In T. Bektas, S. Coniglio, A. Martinez-Sykora, & S. Boss (Eds.), Computational Logistics: 8th International Conference, ICCL 2017, Southampton, UK, October 18-20, 2017, Proceedings (Vol. 10572, pp. 557-571). Springer. https://doi.org/10.1007/978-3-319-68496
Bayliss, C., Martinez Sykora, A., Currie, C., So, M., & Bennell, J. A. (2017). Exact and heuristic approaches to the vehicle ferry revenue management problem. In 2017 INFORMS Computing Society Conference
Bayliss, C., Bennell, J. M., Currie, C. S. M., Martinez-Sykora, A., & So, M. (2016). A Simheuristic approach to the vehicle ferry revenue management problem. In 2016 Winter Simulation Conference (WSC) (pp. 2335-2346). IEEE. https://doi.org/10.1109/WSC.2016.7822274

Working Paper

Martinez Sykora, A., Bayliss, C., Bennell, J., Currie, C., & So, M. (Accepted/In press). Optimizing pricing and packing of variable-sized cargo. University of Southampton.

Dr Antonio Martinez-Sykora
Southampton Business School, University of Southampton, Highfield, Southampton SO17 1BJ, UK

Room Number: 2/3069

Share this profile Share this on Facebook Share this on Twitter Share this on Weibo

Privacy Settings