Research output per year
Research output per year
Organization profile
Organization profile
Se abordan problemas complejos aplicados de las industrias para apoyar a la toma de decisiones, el objetivo es crear modelos o algoritmos para encontrar la solución óptima frente a un objetivo. Las principales herramientas es la modelación matemática y la inteligencia artificial. De forma general, se optimizan sistemas que quieren administrar recursos escasos para lograr fines específicos. Como ejemplo de algunos problemas que hemos tratado son: gestión de inventarios, ruteo de vehículos, programación de proyectos, programación de tareas, asignación de personal, logística, entre otros.
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Our work contributes towards the following SDG(s):
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Dive into the research topics where SEIN3 - Research Student Group in Industrial Eng. is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
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Daniel Morillo Torres
- Department of Civil and Industrial Engineering - Associate Professor
- Modeling and Operations Management Research Group (MGO) - Research team leader
- SEIN3 - Research Student Group in Industrial Eng. - Tutor Research Student Group
Person: Academic, Researcher
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Mixed Integer Linear Programming for Solving Time–Cost Trade-Off Problem of Infrastructure Project
Leon, R., Morillo-Torres, D., Herrera, P., Herrera, H., Gatica, G. & Aguila, G., 2024, Proceedings of International Conference on Information Technology and Applications - ICITA 2023. Ullah, A., Anwar, S., Calandra, D. & Di Fuccio, R. (eds.). Springer Science and Business Media Deutschland GmbH, p. 607-615 9 p. (Lecture Notes in Networks and Systems; vol. 839).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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A new method for the measurement of robustness in reverse logistics supply chains based on entropy and nodal importance
Maya Rodríguez, G., Morillo-Torres, D. & Willmer Escobar, J., Sep 2023, In: Computers and Industrial Engineering. 183, 109533.Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
Tabu Search with Multiple Decision Levels for Solving Heterogeneous Fleet Pollution Routing Problem
Salcedo-Moncada, B. F., Morillo-Torres, D. & Gatica, G., 2023, Metaheuristics - 14th International Conference, MIC 2022, Proceedings. Di Gaspero, L., Festa, P., Nakib, A. & Pavone, M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 61-75 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13838 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review