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

Associate Professor

About Me

Eduardo Lalla-Ruiz is an associate professor at the Department of Industrial Engineering and Business Information Systems (IEBIS) at the University of Twente (Enschede, Netherlands).  He holds a bachelor degree in industrial engineering, an advanced 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

Engineering & Materials Science
# Containers
# Logistics
# Scheduling
Business & Economics
# Allocation Problem
# Container
# Container Terminal
# Vehicle Routing Problem
Mathematics
# Metaheuristics

Organisations

Publications

Recent
Brunetti, M. , Mes, M. , & Lalla-Ruiz, E. (2024). Smart logistics nodes: concept and classification. International Journal of Logistics Research and Applications. Advance online publication. https://doi.org/10.1080/13675567.2024.2327394
Morim, A., Campuzano, G., Amorim, P. , Mes, M. , & Lalla-Ruiz, E. (2024). The drone-assisted vehicle routing problem with robot stations. Expert systems with applications, 238, Article 121741. https://doi.org/10.1016/j.eswa.2023.121741
López-Plata, I., Expósito-Izquierdo, C. , Lalla-Ruiz, E., Melián-Batista, B., & Moreno-Vega, J. M. (2023). A Greedy Randomized Adaptive Search With Probabilistic Learning for solving the Uncapacitated Plant Cycle Location Problem. International Journal of Interactive Multimedia and Artificial Intelligence, 8(2), 123-133. https://doi.org/10.9781/ijimai.2022.04.003
van Steenbergen, R. M. , Lalla-Ruiz, E. , van Heeswijk, W. J. A. , & Mes, M. (2023). The Heterogeneous Fleet Risk-Constrained Vehicle Routing Problem in Humanitarian Logistics. In J. R. Daduna, G. Liedtke, X. Shi, & S. Voß (Eds.), Computational Logistics: 14th International Conference, ICCL 2023, Berlin, Germany, September 6–8, 2023, Proceedings (pp. 276-291). (Lecture Notes in Computer Science; Vol. 14239). Springer. https://doi.org/10.1007/978-3-031-43612-3_17
Gómez Sánchez, M. , Lalla-Ruiz, E., Fernández Gil, A., Castro, C., & Voß, S. (2023). Resource-constrained multi-project scheduling problem: A survey. European journal of operational research, 309(3), 958-976. https://doi.org/10.1016/j.ejor.2022.09.033
Fernández Gil, A. , Lalla-Ruiz, E., Gómez Sánchez, M., & Castro, C. (2023). The cumulative vehicle routing problem with time windows: models and algorithm. Annals of operations research. Advance online publication. https://doi.org/10.1007/s10479-022-05102-7
Fagerholt, K., Heilig, L. , Lalla-Ruiz, E., Meisel, F., & Wang, S. (2023). Data-driven optimization and analytics for maritime logistics. Flexible services and manufacturing journal, 35(1), 1-4. https://doi.org/10.1007/s10696-023-09487-w
Mansoursamaei, M., Moradi, M., González-Ramírez, R. G. , & Lalla-Ruiz, E. (2023). Machine Learning for Promoting Environmental Sustainability in Ports. Journal of advanced transportation, 2023(Special issue), Article 2144733. https://doi.org/10.1155/2023/2144733
Fernandez Gil, A. , Lalla-Ruiz, E., Gomez Sanchez, M., & Castro, C. (2022). A Review of Heuristics and Hybrid Methods for Green Vehicle Routing Problems considering Emissions. Journal of advanced transportation, 2022, 1-38. Article 5714991. https://doi.org/10.1155/2022/5714991
Campuzano, G. , Lalla-Ruiz, E. , & Mes, M. (2022). The Dynamic Drone Scheduling Delivery Problem. In J. de Armas, H. Ramalhinho, & S. Voß (Eds.), Computational Logistics - 13th International Conference, ICCL 2022, Proceedings (pp. 260-274). (Lecture Notes in Computer Science; Vol. 13557). Springer. https://doi.org/10.1007/978-3-031-16579-5_18
Akkerman, F. , Mes, M. , & Lalla-Ruiz, E. (2022). Dynamic Time Slot Pricing Using Delivery Costs Approximations. In J. de Armas, H. Ramalhinho, & S. Voß (Eds.), Computational Logistics: 13th International Conference, ICCL 2022, Barcelona, Spain, September 21–23, 2022, Proceedings (pp. 214–230). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13557 LNCS). Springer. https://doi.org/10.1007/978-3-031-16579-5_15
Dávila de León, A. , Lalla-Ruiz, E., & Melián-Batista, B. (2022). Disruption Management Approaches for Berth Scheduling in Bulk Terminals. Journal of advanced transportation, 2022, 1-17. Article 8069796. https://doi.org/10.1155/2022/8069796
Akkerman, F. , Lalla-Ruiz, E. , Mes, M., & Spitters, T. (2022). Cross-Docking: Current Research Versus Industry Practice and Industry 4.0 Adoption. In T. Bondarouk, & M. R. Olivas-Luján (Eds.), Smart Industry - Better Management (pp. 69-104). (Advanced Series in Management; Vol. 28). Emerald. https://doi.org/10.1108/S1877-636120220000028007
Corona-Gutiérrez, K., Nucamendi-Guillén, S. , & Lalla-Ruiz, E. (2022). Vehicle routing with cumulative objectives: A state of the art and analysis. Computers & industrial engineering, 169, Article 108054. https://doi.org/10.1016/j.cie.2022.108054
Ding, Y., Yang, Y., Heilig, L. , Lalla-Ruiz, E., & Voss, S. (2021). Deployment and retrofit strategy for rubber-tyred gantry cranes considering carbon emissions. Computers & industrial engineering, 161, Article 107645. https://doi.org/10.1016/j.cie.2021.107645
Mes, M. , Lalla-Ruiz, E., & Voß, S. (2021). Preface. In Computational Logistics: 12th International Conference, ICCL 2021, Enschede, The Netherlands, September 27–29, 2021, Proceedings (pp. v-vi). (Lecture Notes in Computer Science; Vol. 13004).
Gil, A. F. , Lalla-Ruiz, E. , Mes, M., & Castro, C. (2021). Optimization of Green Pickup and Delivery Operations in Multi-depot Distribution Problems. In M. Mes, E. Lalla-Ruiz, & S. Voß (Eds.), Computational Logistics: 12th International Conference, ICCL 2021, Enschede, The Netherlands, September 27–29, 2021, Proceedings (pp. 487-501). (Lecture Notes in Computer Science; Vol. 13004). Springer. https://doi.org/10.1007/978-3-030-87672-2_32
Campuzano, G. , Lalla-Ruiz, E. , & Mes, M. (2021). A Multi-start VNS Algorithm for the TSP-D with Energy Constraints. In M. Mes, E. Lalla-Ruiz, & S. Voß (Eds.), Computational Logistics: 12th International Conference, ICCL 2021, Enschede, The Netherlands, September 27–29, 2021, Proceedings (pp. 393-409). (Lecture Notes in Computer Science; Vol. 13004). Springer. https://doi.org/10.1007/978-3-030-87672-2_26
Dávila de León, A. , Lalla-Ruiz, E., Melián-Batista, B., & Moreno-Vega, J. M. (2021). A simulation–optimization framework for enhancing robustness in bulk berth scheduling. Engineering applications of artificial intelligence, 103, Article 104276. https://doi.org/10.1016/j.engappai.2021.104276
Schwarze, S. , Lalla-Ruiz, E., & Voss, S. (2021). Modeling the capacitated p-cable trench problem with facility costs. Central European journal of operations research, 29(2), 713-735. https://doi.org/10.1007/s10100-020-00674-w
Lalla-Ruiz, E. , Mes, M., & Voß, S. (2020). Preface of Computational Logistics book. In E. Lalla-Ruiz, M. Mes, & S. Voß (Eds.), Computational Logistics: 11th International Conference, ICCL 2020, Enschede, The Netherlands, September 28–30, 2020, Proceedings (pp. v-vi). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12433). Springer.
Fernández Gil, A., Gómez Sánchez, M. , Lalla-Ruiz, E., & Castro, C. (2020). Cumulative VRP with Time Windows: A Trade-Off Analysis. In E. Lalla-Ruiz, M. Mes, & S. Voß (Eds.), Computational Logistics - 11th International Conference, ICCL 2020, Proceedings (pp. 277-291). (Lecture Notes in Computer Science; Vol. 12433). Springer. https://doi.org/10.1007/978-3-030-59747-4_18

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University of Twente
Faculty of Behavioural, Management and Social Sciences
Ravelijn (building no. 10), room 3410
Hallenweg 17
7522NH  Enschede
The Netherlands

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University of Twente
Faculty of Behavioural, Management and Social Sciences
Ravelijn  3410
P.O. Box 217
7500 AE Enschede
The Netherlands

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