Ravelijn

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

Associate Professor | Industrial Engineering and Management (IEM) Programme Director
BMS-HBE-IEMS
Ravelijn 3416
e.a.lalla@utwente.nl
+31534891977
Visitekaartje

Eduardo Lalla-Ruiz is associate professor in Logistiek en Operations Research aan de afdeling High Tech Business and Entrepreneurship (HBE) van de Universiteit Twente (Enschede, Nederland). Hij is tevens onderwijsdirecteur van de bachelor- en masterprogrammaā€™s Industrial Engineering and Management (IEM) aan de Universiteit Twente. Eduardo heeft een bachelor in industriĆ«le techniek, een master in industriĆ«le automatiseringstechniek en een master of advanced studies in computerwetenschappen en kunstmatige intelligentie behaald aan de Universiteit van La Laguna (Spanje). Aan diezelfde instelling heeft Eduardo zijn promotie afgerond en werd hij bekroond met een buitengewone doctorale onderscheiding. Na het behalen van zijn doctoraat werd Eduardo aangenomen als onderzoeker en docent aan het Instituut voor Informatiesystemen (Universiteit Hamburg). Daar werd hij een fellow van de prestigieuze Alexander von Humboldt-stichting. Eduardo heeft diverse onderzoeksartikelen gepubliceerd in wetenschappelijke tijdschriften, samengewerkt in internationale onderzoeksprojecten, gediend als redacteur en referent voor relevante tijdschriften, en deelgenomen aan de organisatie van sessies en conferenties. Zijn onderzoeksinteresses liggen op het gebied van logistiek, operations research, wiskundige programmering, beslissingsondersteunende systemen en kunstmatige intelligentie.

Expertises

  • Computer Science

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

  • Social Sciences

    • Problem
    • Containers

Organisaties

Publicaties

Jump to: 2026 | 2025 | 2024 | 2023 | 2022

2026

Enhancing Electric Interterminal Transport: A Truck Decoupling System With Early Information on Arrivals (2026)Journal of advanced transportation, 2026(1). Brunetti, M., Lalla-Ruiz, E. & Mes, M.https://doi.org/10.1155/atr/8968454

2025

When should we meet?: automating team formation for synchronous projects in online education (2025)In 2025 IEEE Digital Education and MOOCS Conference (DEMOcon). IEEE. Barrios-Fleitas, Y. & Lalla-Ruiz, E.https://doi.org/10.1109/DEMOcon65705.2025.11282894Optimizing autonomous multimodal last-mile delivery systems with time windows: Analyzing trade-offs between drones, robots, and trucks (2025)Transportation research. Part E: Logistics and transportation review, 204. Article 104427. Campuzano, G., Lalla-Ruiz, E. & Mes, M.https://doi.org/10.1016/j.tre.2025.104427Smart Logistics Nodes: Connected Automated Transport for Future-Proof Ports and Business Parks (2025)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Brunetti, M.https://doi.org/10.3990/1.9789036566865Optimization and artificial intelligence in logistics management (2025)Annals of operations research, 350(1), 1-3. Lalla-Ruiz, E. & Mes, M. R. K.https://doi.org/10.1007/s10479-025-06700-xThe cumulative vehicle routing problem with time windows: models and algorithm (2025)Annals of operations research, 350(1), 325–353. Fernández Gil, A., Lalla-Ruiz, E., Gómez Sánchez, M. & Castro, C.https://doi.org/10.1007/s10479-022-05102-7The collaborative berth allocation problem with row-generation algorithms for stable cost allocations (2025)European journal of operational research, 323(3), 888-906. Lyu, X., Lalla-Ruiz, E. & Schulte, F.https://doi.org/10.1016/j.ejor.2024.12.048The selective multiple depot pickup and delivery problem with multiple time windows and paired demand (2025)Operations Research Perspectives, 14. Article 100342. Roelink, D., Campuzano, G., Mes, M. & Lalla-Ruiz, E.https://doi.org/10.1016/j.orp.2025.100342The two-tier multi-depot vehicle routing problem with robot stations and time windows (2025)Engineering applications of artificial intelligence, 147. Article 110258. Campuzano, G., Lalla-Ruiz, E. & Mes, M.https://doi.org/10.1016/j.engappai.2025.110258

2024

Greening container terminals through optimization: a systematic review on recent advances (2024)Current opinion in environmental sustainability, 71. Article 101490. Lalla-Ruiz, E., López-Plata, I., Expósito-Izquierdo, C., Barrios-Fleitas, Y. & González-Ramírez, R. G.https://doi.org/10.1016/j.cosust.2024.101490Smart logistics nodes: concept and classification (2024)International Journal of Logistics Research and Applications, 27(11), 1984-2020. Brunetti, M., Mes, M. & Lalla-Ruiz, E.https://doi.org/10.1080/13675567.2024.2327394Enhancing Inter-Terminal Transport viaĀ Early Information (2024)In Business Analytics and Decision Making in Practice: Proceedings of the International Conference on Business Analytics in Practice (ICBAP 2024), Sharjah, UAE (pp. 215-227) (Lecture Notes in Operations Research; Vol. Part F3798). Springer. Brunetti, M., Lalla-Ruiz, E. & Mes, M.https://doi.org/10.1007/978-3-031-61589-4_18Autonomous Multimodal Last-Mile Delivery Systems (2024)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Campuzano, G.https://doi.org/10.3990/1.9789036562010The drone-assisted vehicle routing problem with robot stations (2024)Expert systems with applications, 238. Article 121741. Morim, A., Campuzano, G., Amorim, P., Mes, M. & Lalla-Ruiz, E.https://doi.org/10.1016/j.eswa.2023.121741

2023

Resource-constrained multi-project scheduling problem: A survey (2023)European 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 Logistics (2023)In Computational Logistics: 14th International Conference, ICCL 2023, Berlin, Germany, September 6ā€“8, 2023, Proceedings (pp. 276-291) (Lecture Notes in Computer Science; Vol. 14239). 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 Ports (2023)Journal 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 logistics (2023)Flexible 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 problem (2023)Computers & industrial engineering, 176. Article 109003. Campuzano, G., Lalla-Ruiz, E. & Mes, M.https://doi.org/10.1016/j.cie.2023.109003A Greedy Randomized Adaptive Search With Probabilistic Learning for solving the Uncapacitated Plant Cycle Location Problem (2023)International 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 Problem (2022)In Computational Logistics - 13th International Conference, ICCL 2022, Proceedings (pp. 260-274) (Lecture Notes in Computer Science; Vol. 13557). 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 Terminals (2022)Journal of advanced transportation, 2022, 1-17. Article 8069796. 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 Adoption (2022)In Smart Industry - Better Management (pp. 69-104) (Advanced Series in Management; Vol. 28). 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 analysis (2022)Computers & 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 methodology (2022)Natural Computing, 21, 265-287. de Armas, J., Lalla-Ruiz, E., Tilahun, S. L. & Voß, S.https://doi.org/10.1007/s11047-020-09837-9

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