dr.ir. E.A. Lalla (Eduardo)

Associate Professor
BMS-HBE-IEBIS
Ravelijn 3410
e.a.lalla@utwente.nl
+31534891977
Business card

Eduardo Lalla-Ruiz is an associate professor in Logistics and Operations Research at the Department of High Tech Business and Entrepreneurship (HBE) at the University of Twente (Enschede, Netherlands).  He is also the educational director of the University of Twente's bachelor and master programmes in Industrial Engineering and Management (IEM). Eduardo holds a bachelor degree in industrial engineering, a master degree in industrial automation engineering, and a master of advanced studies in computer science and artificial intelligence from the University of La Laguna (Spain). At that same institution, Eduardo completed his Ph.D. and was awarded extraordinary doctoral distinction. After finishing his Ph.D., Eduardo was hired as a researcher and lecturer at the Institute of Information Systems (University of Hamburg). There, Eduardo became a fellow of the prestigious Alexander von Humboldt Foundation. Eduardo has published several research papers in specialized journals, collaborated in international research projects, served as editor and referee in relevant journals, and participated in the organization of sessions and conferences. His research interests lie in the fields of logistics, operations research, mathematical programming, decision support systems, and artificial intelligence. 

Expertise

  • Computer Science

    • Container
    • Vehicle Routing
    • Metaheuristics
    • Allocation Problem
    • Scheduling Problem
    • Matheuristics

  • Social Sciences

    • Problem
    • Containers

Organisations

Publications

2024
The drone-assisted vehicle routing problem with robot stationsExpert systems with applications, 238, Article 121741. Morim, A., Campuzano, G., Amorim, P., Mes, M. & Lalla-Ruiz, E.https://doi.org/10.1016/j.eswa.2023.121741Smart logistics nodes: concept and classificationInternational Journal of Logistics Research and Applications (E-pub ahead of print/First online). Brunetti, M., Mes, M. & Lalla-Ruiz, E.https://doi.org/10.1080/13675567.2024.2327394
2023
Resource-constrained multi-project scheduling problem: A surveyEuropean journal of operational research, 309(3), 958-976. Gómez Sánchez, M., Lalla-Ruiz, E., Fernández Gil, A., Castro, C. & Voß, S.https://doi.org/10.1016/j.ejor.2022.09.033The Heterogeneous Fleet Risk-Constrained Vehicle Routing Problem in Humanitarian LogisticsIn Computational Logistics: 14th International Conference, ICCL 2023, Berlin, Germany, September 6–8, 2023, Proceedings (pp. 276-291). Springer. van Steenbergen, R. M., Lalla-Ruiz, E., van Heeswijk, W. J. A. & Mes, M.https://doi.org/10.1007/978-3-031-43612-3_17Machine Learning for Promoting Environmental Sustainability in PortsJournal of advanced transportation, 2023(Special issue), Article 2144733. Mansoursamaei, M., Moradi, M., González-Ramírez, R. G. & Lalla-Ruiz, E.https://doi.org/10.1155/2023/2144733Data-driven optimization and analytics for maritime logisticsFlexible services and manufacturing journal, 35(1), 1-4. Fagerholt, K., Heilig, L., Lalla-Ruiz, E., Meisel, F. & Wang, S.https://doi.org/10.1007/s10696-023-09487-wThe drone-assisted variable speed asymmetric traveling salesman problemComputers & industrial engineering, 176, Article 109003. Campuzano, G., Lalla-Ruiz, E. & Mes, M.https://doi.org/10.1016/j.cie.2023.109003The cumulative vehicle routing problem with time windows: models and algorithmAnnals of operations research (E-pub ahead of print/First online). Fernández Gil, A., Lalla-Ruiz, E., Gómez Sánchez, M. & Castro, C.https://doi.org/10.1007/s10479-022-05102-7A Greedy Randomized Adaptive Search With Probabilistic Learning for solving the Uncapacitated Plant Cycle Location ProblemInternational Journal of Interactive Multimedia and Artificial Intelligence, 8(2), 123-133. López-Plata, I., Expósito-Izquierdo, C., Lalla-Ruiz, E., Melián-Batista, B. & Moreno-Vega, J. M.https://doi.org/10.9781/ijimai.2022.04.003
2022
The Dynamic Drone Scheduling Delivery ProblemIn Computational Logistics - 13th International Conference, ICCL 2022, Proceedings (pp. 260-274). Springer. Campuzano, G., Lalla-Ruiz, E. & Mes, M.https://doi.org/10.1007/978-3-031-16579-5_18Disruption Management Approaches for Berth Scheduling in Bulk TerminalsJournal of advanced transportation, 2022, Article 8069796, 1-17. Dávila de León, A., Lalla-Ruiz, E. & Melián-Batista, B.https://doi.org/10.1155/2022/8069796Cross-Docking: Current Research Versus Industry Practice and Industry 4.0 AdoptionIn Smart Industry - Better Management (pp. 69-104). Emerald. Akkerman, F., Lalla-Ruiz, E., Mes, M. & Spitters, T.https://doi.org/10.1108/S1877-636120220000028007Vehicle routing with cumulative objectives: A state of the art and analysisComputers & industrial engineering, 169, Article 108054. Corona-Gutiérrez, K., Nucamendi-Guillén, S. & Lalla-Ruiz, E.https://doi.org/10.1016/j.cie.2022.108054Similarity in metaheuristics: a gentle step towards a comparison methodologyNatural Computing, 21, 265-287. de Armas, J., Lalla-Ruiz, E., Tilahun, S. L. & Voß, S.https://doi.org/10.1007/s11047-020-09837-9Dynamic Time Slot Pricing Using Delivery Costs ApproximationsIn Computational Logistics: 13th International Conference, ICCL 2022, Barcelona, Spain, September 21–23, 2022, Proceedings (pp. 214–230). Springer. Akkerman, F., Mes, M. & Lalla-Ruiz, E.https://doi.org/10.1007/978-3-031-16579-5_15A Review of Heuristics and Hybrid Methods for Green Vehicle Routing Problems considering EmissionsJournal of advanced transportation, 2022, Article 5714991, 1-38. Fernandez Gil, A., Lalla-Ruiz, E., Gomez Sanchez, M. & Castro, C.https://doi.org/10.1155/2022/5714991
2021
Deployment and retrofit strategy for rubber-tyred gantry cranes considering carbon emissionsComputers & industrial engineering, 161, Article 107645. Ding, Y., Yang, Y., Heilig, L., Lalla-Ruiz, E. & Voss, S.https://doi.org/10.1016/j.cie.2021.107645A Multi-start VNS Algorithm for the TSP-D with Energy ConstraintsIn Computational Logistics: 12th International Conference, ICCL 2021, Enschede, The Netherlands, September 27–29, 2021, Proceedings (pp. 393-409). Springer. Campuzano, G., Lalla-Ruiz, E. & Mes, M.https://doi.org/10.1007/978-3-030-87672-2_26Optimization of Green Pickup and Delivery Operations in Multi-depot Distribution ProblemsIn Computational Logistics: 12th International Conference, ICCL 2021, Enschede, The Netherlands, September 27–29, 2021, Proceedings (pp. 487-501). Springer. Gil, A. F., Lalla-Ruiz, E., Mes, M. & Castro, C.https://doi.org/10.1007/978-3-030-87672-2_32A simulation–optimization framework for enhancing robustness in bulk berth schedulingEngineering applications of artificial intelligence, 103, Article 104276. Dávila de León, A., Lalla-Ruiz, E., Melián-Batista, B. & Moreno-Vega, J. M.https://doi.org/10.1016/j.engappai.2021.104276Modeling the capacitated p-cable trench problem with facility costsCentral European journal of operations research, 29(2), 713-735. Schwarze, S., Lalla-Ruiz, E. & Voss, S.https://doi.org/10.1007/s10100-020-00674-wMathematical formulations and improvements for the multi-depot open vehicle routing problemOptimization Letters, 15(1), 271-286. Lalla-Ruiz, E. & Mes, M.https://doi.org/10.1007/s11590-020-01594-zPrefaceIn Computational Logistics: 12th International Conference, ICCL 2021, Enschede, The Netherlands, September 27–29, 2021, Proceedings (pp. v-vi). Mes, M., Lalla-Ruiz, E. & Voß, S.
2020
Cumulative VRP with Time Windows: A Trade-Off AnalysisIn Computational Logistics - 11th International Conference, ICCL 2020, Proceedings (pp. 277-291). Springer. Fernández Gil, A., Gómez Sánchez, M., Lalla-Ruiz, E. & Castro, C.https://doi.org/10.1007/978-3-030-59747-4_18Preface of Computational Logistics bookIn Computational Logistics: 11th International Conference, ICCL 2020, Enschede, The Netherlands, September 28–30, 2020, Proceedings (pp. v-vi). Springer. Lalla-Ruiz, E., Mes, M. & Voß, S.

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University of Twente

Ravelijn (building no. 10), room 3410
Hallenweg 17
7522 NH Enschede
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