Dr. Beatriz Royo
Associate Professor at the MIT-Zaragoza Program
Dr. Beatriz Royo is Associate Professor at the MIT-Zaragoza International Logistics Program. She has a Ph.D. degree of Computer Engineer in the field of Transport Optimization with a focus on long distance transportation by road, Vehicle Routing, Hub Location Allocation Problems and Ant Colony Optimization. MSc. degree based on mechanical systems from the Faculty of Engineering, University of Zaragoza, Spain.
Dr. Royo’s main research areas are network design, supply chain collaboration, digitalization and sustainability. During her career, Dr Royo published several papers in journals as well as on scientific conferences.
Dr. Royo has also been employed in “Aragon Institute of Engineering Research” as a researcher engineer for transport optimization and as a decision support systems developer and in “Technological Institute of Aragon” as an automation software developer.
Research Areas
Publications
Prior Publications
Route planning for a mixed delivery system in long distance transportation and comparison with pure delivery systems
Royo B., Fraile A., Larrodé E., Muerza V., 2016. Route planning for a mixed delivery system in long distance transportation and comparison with pure delivery systems. Journal of Computational and Applied Mathematics 291, pp. 488-496.
An optimization algorithm for solving the rich vehicle routing problem based on Variable Neighborhood Search and Tabu Search metaheuristics
Sicilia J.A., Quemada C., Royo B., Escuin D., 2016. An optimization algorithm for solving the rich vehicle routing problem based on Variable Neighborhood Search and Tabu Search metaheuristics. Journal of Computational and Applied Mathematics 291, pp. 468-477.
Solving a Long-Distance Routing Problem using Ant Colony Optimization
Royo B., Sicilia J.A., Oliveros M.J., Larrodé E., 2015 Solving a Long-Distance Routing Problem using Ant Colony Optimization. Applied Mathematics & Information Sciences 9(2), pp. 415-421.
A Decision Support System for a Long-distance Routing Problem based on the Ant Colony Optimization Metaheuristic
Sicilia J.A., Royo B., Larrodé E., Fraile A., 2014. A Decision Support System for a Long-distance Routing Problem based on the Ant Colony Optimization Metaheuristic. Procedia – Social and Behavioral Sciences 111, pp. 1035-1044.
A Web based Application for Urban Transport Infrastructure Planning for Delivering Hydrogen
Gallego J., Royo B., Larrodé E., 2014. A Web based Application for Urban Transport Infrastructure Planning for Delivering Hydrogen. Procedia – Social and Behavioral Sciences 111, pp. 869-879.
A Hybrid Algorithm for Solving the General Vehicle Routing Problem in the Case of the Urban Freight Distribution
Sicilia J.A., Escuin D., Royo B., Larrodé E.,Medrano J., 2014. A Hybrid Algorithm for Solving the General Vehicle Routing Problem in the Case of the Urban Freight Distribution. Advances in Intelligent Systems and Computing 262, pp. 463-475.
Smart system for freight distribution planning
Juan Antonio Sicilia Montalvo, David Escuín Finol, Beatriz Royo Agustín, Emilio Larrodé Pellicer (2013). Smart system for freight distribution planning. Dyna, ISSN 0012-7361, Vol. 88, 4, 2013, (414-423).
Sistema Inteligente de Planificación de Rutas para la distribución de mercancías basado en las técnicas metaheurísticas, búsqueda de entorno variable y búsqueda tabú
Juan Antonio Sicilia, Emilio Larrodé, Beatriz Royo, David Escuin (2013). Sistema Inteligente de Planificación de Rutas para la distribución de mercancías basado en las técnicas metaheurísticas, búsqueda de entorno variable y búsqueda tabú. Dyna (Bilbao), Vol. 88 (3), pp. 414-423.
A hybrid algorithm for solving the general vehicle routing problem in the case of the urban freight distribution
Juan Antonio Sicilia, David Escuín, Beatriz Royo, Emilio Larrodé, Jesús Medrano (2014). A hybrid algorithm for solving the general vehicle routing problem in the case of the urban freight distribution. Computer-based Modelling and Optimization in Transportation, Springer, pp (463-475).
Managerial Publications
Grants & Awards
2018 CEL Award to the best thesis project in Logistics
