Cursos

• IIND-2109 Sistemas Apoyo a la Decisión
• IIND-3221 Logística
• IIND-3006 Proyecto Intermedio - Consultoría Empresarial
• IIND-4115 Flujo en Redes
• IIND-4109 Metaheurísticas

Investigación

• Data Analytics and Visualization
• Decision Support Systems
• Logistics
• Industry 4.0
• Optimization/Simulation
• Machine Vision
• Artificial Intelligence

Proyectos de Investigación

• SEMA - Sistema de Empaquetamiento de Mercancías Automático, MINCIENCIAS
• SIC – Sistema Inteligente de Cubicaje, MINCIENCIAS
• ADVANCE - Addressing Verification and Validation Challenges in Future Cyber-Physical Systems, H2020 RISE

Estudiantes Doctorales Formados

• Juan Camilo Martínez

Estudiantes Doctorales En Curso

• Daniel Hernando Cuellar
• German Fernando Pantoja
• Julio Mario Daza
• Pablo José Cortés
• Martha Concepción Corredor
• Daniel Sebastián Giraldo
• Luis Enrique Tarazona

Publicaciones

• Martínez-Franco, J. C., Rojas-Álvarez, A., Tabares, A., Álvarez-Martínez, D., & Marín-Moreno, C. A. (2024). Latent Space Representations for Marker-Less Realtime Hand–Eye Calibration. Sensors, 24(14), 4662.


• Pantoja-Benavides, G., Giraldo, D., Montes, A., García, A., Rodríguez, C., Marín, C., & Álvarez-Martínez, D. (2024). Comprehensive Review of Robotized Freight Packing. Logistics, 8(3), 69.


• Cuellar-Usaquén, D., Ulmer, M. W., Gomez, C., & Álvarez-Martínez, D. (2024). Adaptive stochastic lookahead policies for dynamic multi-period purchasing and inventory routing. European Journal of Operational Research, 318(3), 1028-1041.


• Giraldo-Herrera, D., & Álvarez-Martínez, D. (2024, June). A GRASP Algorithm for the Meal Delivery Routing Problem. In Metaheuristics International Conference (pp. 306-320). Cham: Springer Nature Switzerland.


• Merizalde, A., Rubiano, G., Pardo, G. R., Pozos, A. T., & Álvarez-Martínez, D. (2024, June). Strategically Influencing Seat Selection in Low-Cost Carriers: A GRASP Approach for Revenue Maximization. In Metaheuristics International Conference (pp. 65-79). Cham: Springer Nature Switzerland.


• Daza-Escorcia, J. M., & Álvarez-Martínez, D. (2024, June). A Matheuristic Multi-start Algorithm for a Novel Static Repositioning Problem in Public Bike-Sharing Systems. In Metaheuristics International Conference (pp. 188-203). Cham: Springer Nature Switzerland.


• Cortés Sanabria, P. J., Tabares Pozos, A., Álvarez-Martínez, D., & Noriega Barbosa, D. A. (2024). An Innovative Approach to Radiality Representation in Electrical Distribution System Reconfiguration: Enhanced Efficiency and Computational Performance. Energies, 17(11), 2633.


• González, G. P., Pozos, A. T., Quiroga, C., & Álvarez-Martínez, D. (2024). Seat assignment recommendation in airlines purchase flow to increase ancillary revenue considering weight and balance constraints. Journal of Air Transport Management, 117, 102582.


• Velandia, R., Martinez, D., & Escobar, J. (2024). A metaheuristic algorithm based on Ant Colony Based approach for the assigning tasks problem to a workforce with different skills. Decision Science Letters, 13(3), 729-740.


• Torres, J., Paloma, D., Gatica, G., Álvarez-Martínez, D., & Escobar, J. (2024). A hybrid matheuristic approach for the integrated location routing problem of the pineapple supply chain. Decision Science Letters, 13(2), 483-498.


• Pardo-Peña, D., Álvarez-Martínez, D., & Escobar, J. (2024). A GRASP algorithm for the bus crew scheduling problem. International Journal of Industrial Engineering Computations, 15(2), 443-456.


• Rojas-Saavedra, J. E., Álvarez-Martínez, D., & Escobar, J. W. (2023). Boosting sustainable development goals: a hybrid metaheuristic approach for the heterogeneous vehicle routing problem with three-dimensional packing constraints and fuel consumption. Annals of Operations Research, 1-46.


• Camacho-Muñoz, G. A., Franco, J. C. M., Nope-Rodríguez, S. E., Loaiza-Correa, H., Gil-Parga, S., & Álvarez-Martínez, D. (2023). 6D-ViCuT: Six degree-of-freedom visual cuboid tracking dataset for manual packing of cargo in warehouses. Data in Brief, 49, 109385.


• Cuellar‐Usaquén, D., Palacio, A., Ospina, E., Botero, M., & Álvarez‐Martínez, D. (2023). Modeling and solving the endpoint cutting problem. International Transactions in Operational Research, 30(2), 800-830.


• Cuellar‐Usaquén, D., Gomez, C., & Álvarez‐Martínez, D. (2023). A GRASP/path‐relinking algorithm for the traveling purchaser problem. International Transactions in Operational Research, 30(2), 831-857.


• Herrera-Cobo, J. S., Escobar, J. W., & Álvarez-Martínez, D. (2023). Metaheuristic algorithm for the location, routing and packing problem in the collection of recyclable waste. International Journal of Industrial Engineering Computations, 14.


• Pachón, J. C., Martínez-Franco, J., & Álvarez-Martínez, D. (2022). SIC: An intelligent packing system with industry-grade features. SoftwareX, 20 101241.


• Pantoja-Benavides, G., & Álvarez-Martínez, D. (2022). A hybrid approach of simulation and metaheuristic for the polyhedra packing problem. International Journal of Industrial Engineering Computations, 13(1), 81-100.


• Rodríguez, D. A. A., Martínez, D. Á., & Escobar, J. W. (2022). A hybrid matheuristic approach for the vehicle routing problem with three-dimensional loading constraints. International Journal of Industrial Engineering Computations, 13(1), 421-434.


• Cuellar‐Usaquén, D., Palacio, A., Ospina, E., Botero, M., & Álvarez‐Martínez, D. (2021). Modeling and solving the endpoint cutting problem. International Transactions in Operational Research, 30(2), 800-830.


• Martínez-Franco, J. C., & Álvarez-Martínez, D. (2021). Machine Vision for Collaborative Robotics Using Synthetic Data-Driven Learning. In International Workshop on Service Orientation in Holonic and Multi-Agent Manufacturing (pp. 69-81). Springer, Cham.


• Cuellar‐Usaquén, D., Gomez, C., & Álvarez‐Martínez, D. (2021). A GRASP/Path‐Relinking algorithm for the traveling purchaser problem. International Transactions in Operational Research, 30(2), 831-857.


• Camacho-Muñoz, G., Loaiza-Correa, H., Nope, S. E., & Álvarez-Martínez, D. (2021, January). A Survey on Components of AR Interfaces to Aid Packing Operations. In International Workshop on Service Orientation in Holonic and Multi-Agent Manufacturing (pp. 82-94). Springer, Cham.


• Cuellar-Usaquen, D., Camacho-Muñoz, G., Quiroga-Gomez, C., & Álvarez-Martínez, D. (2021). An approach for the pallet-building problem and subsequent loading in a heterogeneous fleet of vehicles with practical constraints. International Journal of Industrial Engineering Computations, 12(3), 329-344.


• Escobar-Falcón, L., Álvarez-Martínez, D., Wilmer-Escobar, J., & Granada-Echeverri, M. (2021). A specialized genetic algorithm for the fuel consumption heterogeneous fleet vehicle routing problem with bidimensional packing constraints. International Journal of Industrial Engineering Computations, 12(2), 191-204.


• Martínez-Franco, J., Céspedes-Sabogal, E., & Álvarez-Martínez, D. (2020). PackageCargo: A decision support tool for the container loading problem with stability. SoftwareX, 12 100601.


• Rodriguez-Garavito, C. H., Camacho-Munoz, G., Álvarez-Martínez, D., Cardenas, K. V., Rojas, D. M., & Grimaldos, A. (2018, October). 3D object pose estimation for robotic packing applications. In Workshop on Engineering Applications (pp. 453-463). Springer, Cham.


• Álvarez-Martínez, D. (2018, June). Modelling the kinematic properties of an industrial manipulator in packing applications. In 2018 IEEE 14th International Conference on Control and Automation (ICCA) (pp. 1028-1033). IEEE.


• Martínez, D. A., Alvarez-Valdes, R., & Parreño, F. (2015). A grasp algorithm for the container loading problem with multi-drop constraints. Pesquisa Operacional, 35, 1-24.