Serrano-Ruiz, J.C., Mula, J., Poler, R. (2024). Job shop smart manufacturing scheduling by deep reinforcement learning. Journal of Industrial Information Integration, 38, 100582.

Reyes, J., Mula, J., Diaz-Madroñero, M. (2024). Quantitative insights into the integrated push and pull production problem for lean supply chain planning 4.0. International Journal of Production Research.

Neroni M., Bertolini M., Juan A. A. (2024). A biased-randomized discrete event algorithm to improve the productivity of automated storage and retrieval systems in the steel industry. Algorithms, 17 (1), 46.

Lorente-Leyva, Leandro L., Alemany, M. M. E., Peluffo-Ordóñez, Diego H. (2024). A conceptual framework for the operations planning of the textile supply chains: Insights for sustainable and smart planning in uncertain and dynamic contexts. Computers & Industrial Engineering, 187, 109824.

Becerra, P., Mula, J., Sanchis, R., Campuzano-Bolarín, F. (2023). Simulation optimization of a sustainable copper mining closed-loop supply chain. International Journal of Systems Science: Operations and Logistics, 11 (1).

Juan, A.A., Rabe, M., Ammouriova, M., Panadero, J., Peidro, D., Riera, D. (2023). Solving NP-hard challenges in logistics and transportation under general uncertainty scenarios using fuzzy simheuristics. Algorithms, 16(12), 570.

Castaneda, J., Herrera, E.M., Londoño, J.C., Panadero, J., Juan, A.A. (2023). Using heuristics to enhance real-life warehouse replenishment processes in the fashion industry. Transportation Research Procedia, 71, 124-131.

Gomez J. F., Uguina A. R., Panadero J., Juan A. A. (2023). A learnheuristic algorithm for the capacitated dispersion problem under dynamic conditions. Algorithms, 16 (12), 532.

Rojas, T., Mula, J., Sanchis, R. (2023). Quantitative modelling approaches for lean manufacturing under uncertainty. International Journal of Production Research.

Perez-Gosende, P., Mula, J., Diaz-Madroñero, M. (2023). A conceptual framework for multi-objective facility layout planning by a bottom-up approach. International Journal of Production Management and Engineering 11 (1), 1-16.

Rojas, T., Mula, J., Sanchis, R. (2023). A conceptual framework for lean manufacturing under uncertainty conditions in the graphic industry. Lecture Notes on Data Engineering and Communications Technology, 160, 501-506.

Guzman, E., Poler, R., Andres, B. (2023) A matheuristic approach combining genetic algorithm and mixed integer linear programming model for production and distribution planning in the supply chain. Advances in Production Engineering & Management, 18 (1), 19-31.

Pérez-Cubero, E., Poler, R. (2023). Conceptual proposal for the design of a work order prioritization heuristic in a workshop. Lecture Notes on Data Engineering and Communications Technology, 160, 179-184.

Serrano-Ruiz, J. C., Mula, J., Poler, R. (2023). Deep reinforcement learning for the job shop scheduling problem: reference axes for modelling, implementation and validation. Lecture Notes on Data Engineering and Communications Technology, 160, 93-100.

Pérez-Gosende, P., Mula, J., Díaz-Madroñero, M. (2023). A bottom-up multi-objective optimisation approach to dynamic facility layout planning. International Journal of Production Research, 62(3), 626-643.

Martin, X. A., Hatami, S., Calvet, L., Peyman, M., Juan, A. A. (2023). Dynamic reactive assignment of tasks in real-time automated guided vehicle environments with potential interruptions. Applied Sciences, 13 (6), 3708.

Becerra, P., Mula, J., Sanchis, R. (2023). Mathematical programming models for sustainable inventory management in a supply chain. Lecture Notes on Data Engineering and Communications Technology, 160, 152-157.

Reyes, J., Mula, J., Díaz-Madroñero, M. (2023). Optimisation modeling for lean, resilient, flexible and sustainable supply chain planning. Lecture Notes on Data Engineering and Communications Technology, 160, 341-345.

Tarazona, M., Mula, J., Poler, R. (2023). Optimisation of production scheduling and sequencing problems in industry 4.0. Lecture Notes on Data Engineering and Communications Technology, 160, 107-112.

Becerra, P., Mula, J., Sanchis, R. (2023). Optimising location, inventory and transportation in a sustainable closed-loop supply chain. International Journal of Production Research, 62 (5), 1609-1632.

Ghorbani, E., Fluechter, T., Calvet, L., Ammouriova, M., Panadero, J., Juan, A. A. (2023). Optimizing energy consumption in smart cities’ mobility: electric vehicles, algorithms, and collaborative Economy. Energies, 16 (3), 1268.

Perez-Gosende, P., Mula, J., Diaz-Madroñero, M. (2023). Reference optimisation models for facility layout planing in the metal-mechanic industry. Lecture Notes on Data Engineering and Communications Technology, 160, 482-487.

Martin, X. A., Panadero, J., Peidro, D., Perez‐Bernabeu, E., Juan, A. A. (2023). Solving the time capacitated arc routing problem under fuzzy and stochastic travel and service times. Networks, 82, 318-335.

Aldás, D., Mula, J., Díaz-Madroñero, M. (2023). Theoretical advances in the supply chain operations strategy with a circular economy approach. Lecture Notes on Data Engineering and Communications Technology, 160, 494-500.

Cañas, H., Mula, J., Campuzano-Bolarín, F., Poler, R. (2022). A conceptual framework for smart production planning and control in Industry 4.0. Computers & Industrial Engineering, 173, 108659.

Guzman, E., Andres, B., Poler, R. (2022). A decision-making tool for algorithm selection based on a fuzzy TOPSIS approach to solve replenishment, production and distribution planning problems. Mathematics, 10 (9), 1544.

Gomez, J. F., Panadero, J., Tordecilla, R. D., Castaneda, J., Juan, A. A. (2022). A multi-start biased-randomized algorithm for the capacitated dispersion problem. Mathematics, 10 (14), 2405.

Serrano-Ruiz, J. C., Poler, R., Mula, J. (2022). A simpy digital twin job shop for learning in industrial engineering and logistics. INTED2022 Proceedings, 2325-2334.

Castaneda, J., Neroni, M., Ammouriova, M., Panadero, J., Juan, A. A. (2022). Biased-randomized discrete-event heuristics for dynamic optimization with time dependencies and synchronization. Algorithms, 15 (8), 289.

Herrera, E. M., Panadero, J., Carracedo, P., Juan, A. A., Perez-Bernabeu, E. (2022). Determining reliable solutions for the team orienteering problem with probabilistic delays. Mathematics, 10 (20), 3788.

Serrano-Ruiz, J. C., Mula, J., Poler, R. (2022). Development of a multidimensional conceptual model for job shop smart manufacturing scheduling from the Industry 4.0 perspective. Journal of Manufacturing Systems, 63, 185-202.

Castaneda, J., Ghorbani, E., Ammouriova, M., Panadero, J., Juan, A. A. (2022). Optimizing transport logistics under uncertainty with simheuristics: concepts, review and trends. Logistics, 6 (3), 42.

Esteso, A., Peidro, D., Mula, J., Díaz-Madroñero, M. (2022). Reinforcement learning applied to production planning and control. International Journal of Production Research, 1-18.

Ammouriova, M., Herrera, E. M., Neroni, M., Juan, A. A., Faulin, J. (2022). Solving vehicle routing problems under uncertainty and in dynamic scenarios: from simheuristics to agile optimization. Applied Sciences, 13 (1), 101.

Becerra, P., Mula, J., Sanchis, R. (2022). Sustainable inventory management in supply chains: trends and further research. Sustainability, 14 (5), 2613.

Serrano-Ruiz, J. C., Mula, J., Poler, R. (2022). Toward smart manufacturing scheduling from an ontological approach of job-shop uncertainty sources. IFAC-PapersOnLine, 55 (2), 150-155.

Congresos

Aldás, D., Mula, J., Díaz-Madroñero, M. (2023). Dimensions and challenges to integrate operations strategies into a sustainable and circular supply chain. 17th International Conference on Industrial Engineering and Industrial Management (ICIEIM) – XXVII Congreso de Ingeniería de Organización (CIO2023). https://cio2023.upc.edu/

Becerra, P., Mula, J., Sanchis, R. (2023). An overview of shoring decisions for sustainable and resilient supply chains from a quantitative modelling perspective. 17th International Conference on Industrial Engineering and Industrial Management (ICIEIM) – XXVII Congreso de Ingeniería de Organización (CIO2023). https://cio2023.upc.edu/

Fateh, A., Mula, J., Diaz-Madroñero, M. (2023). Optimization and big data to provide digital technologies to supply chain 4.0. 17th International Conference on Industrial Engineering and Industrial Management (ICIEIM) – XXVII Congreso de Ingeniería de Organización (CIO2023). https://cio2023.upc.edu/

Guerrero, B., Mula, J., Poler, R. (2023). Sustainable operations management towards Industry 5.0. 17th International Conference on Industrial Engineering and Industrial Management (ICIEIM) – XXVII Congreso de Ingeniería de Organización (CIO2023). https://cio2023.upc.edu/

Moreno, J., Mula, J., Poler, R. (2023). Trends and future research into the integration of procurement transportation and inventory decisions. 17th International Conference on Industrial Engineering and Industrial Management (ICIEIM) – XXVII Congreso de Ingeniería de Organización (CIO2023). https://cio2023.upc.edu/

Mula, J., Sanchis, R., De la Torre, R., Becerra, P. (2023). Simulation and improvement of transshipment decisions in a fastfashion retail network. 17th International Conference on Industrial Engineering and Industrial Management (ICIEIM) – XXVII Congreso de Ingeniería de Organización (CIO2023). https://cio2023.upc.edu/

Ponce, E., Mula, J., Peidro, D. (2023). Analysis of blockchain applications in the field of supply chains. 17th International Conference on Industrial Engineering and Industrial Management (ICIEIM) – XXVII Congreso de Ingeniería de Organización (CIO2023). https://cio2023.upc.edu/

Reyes, J., Mula, J., Díaz-Madroñero, M., Andres, B. (2023). Normalised data model for cloud collaborative manufacturing: applied to the footwear industry. 17th International Conference on Industrial Engineering and Industrial Management (ICIEIM) – XXVII Congreso de Ingeniería de Organización (CIO2023). https://cio2023.upc.edu/

Rojas, T., Mula, J., Sanchis, R. (2023). Quantitative models for production planning within a lean manufacturing approach under uncertainty. 17th International Conference on Industrial Engineering and Industrial Management (ICIEIM) – XXVII Congreso de Ingeniería de Organización (CIO2023). https://cio2023.upc.edu/

Mula, J. (2023). Optimisation systems in the Industry 4.0 era. 29th IJCIEOM – International Joint Conference on Industrial Engineering and Operations Management. Lisbon, Portugal. https://ijcieom.org/2023/?page_id=148

Guzman, E., Andres, B., Poler, R. (2022). A conceptual framework to support the selection of algorithms for replenishment production and delivery planning problems. In 11th International Conference on Interoperability for Enterprise Systems and Applications, I-ESA22, Enterprise Interoperability through connected Digital Twins. https://digitalfactoryalliance.eu/i-esa-2022-11th-international-conference/

Serrano-Ruiz, J.C., Mula, J., Poler, R. (2022). Interoperability as a supporting principle of Industry 4.0 for smart manufacturing scheduling: A research note. In 11th International Conference on Interoperability for Enterprise Systems and Applications, IESA22, Enterprise Interoperability through connected Digital Twins. https://digitalfactoryalliance.eu/i-esa-2022-11th-international-conference/

Tesis doctorales

Reyes Vásquez, J.P. (2024). Conceptual and optimisation modelling for lean supply chain planning in Industry 4.0. [Tesis doctoral]. Universitat Politècnica de València.

Serrano-Ruiz, J.C. (2023). Job shop smart manufacturing scheduling by deep reinforcement learning for Industry 4.0 [Tesis doctoral]. Universitat Politècnica de València.

Cañas Sánchez, H.E. (2023). Models, algorithms and digital technologies for the automation and collaboration of connected smart factories in an industry 4.0 environment [Tesis doctoral]. Universitat Politècnica de València.

Becerra, P. (2023). Quantitative models of location, inventory and transportation decisions for sustainable supply chain management [Tesis doctoral]. Universitat Politècnica de València.

Pérez Gosende, P.A. (2022). Enfoque multiobjetivo bottom-up para la planificación dinámica de la distribución espacial en plantas industriales [Tesis doctoral]. Universitat Politècnica de València.

Trabajos fin de grado

Cavero Merino, J.V. (2023). Diseño e Implementación de una Herramienta de Optimización para la Gestión del Beneficio en una Empresa del Sector Metalmecánico [Trabajo fin de grado]. Universitat Politècnica de València.