Paredes-Quevedo, J., Mula, J., Díaz-Madroñero, M. (2025). Exploring industry 5.0: an overview of AI-driven production scheduling and sequencing. Lecture Notes on Data Engineering and Communications Technologies, 239, 658-662.
Alzate, P., Mula, J., Poler, R., Isaza, G., Toro, E., Jaramillo, J. (2025). Mathematical models for the optimisation of maritime routes in container transportation. Lecture Notes on Data Engineering and Communications Technologies, 239, 646-651.
Almendros, J., Mula, J., Guerrero-Martínez, M., Poler, R. (2025). Enabling optimisation production technologies for supply chain 4.0. Lecture Notes on Data Engineering and Communications Technologies, 239, 374-378.
Aldás, D., Mula, J. (2025). Quantitative models for the optimisation of operations strategies in sustainable and circular supply chains. Lecture Notes on Data Engineering and Communications Technologies, 239, 305-310.
Guerrero, B., Mula, J., Poler, R. (2025). A conceptual framework for the generalised assignment problem through a people lens. Lecture Notes on Data Engineering and Communications Technologies, 239, 299-304.
Serrano-Ruiz, J.C., Mula, J., Poler, R. (2025). Smart tuning of algorithm parameters by deep reinforcement learning. Lecture Notes on Data Engineering and Communications Technologies, 239, 34-39.
Becerra, P., Mula, J., Sanchis, R. (2025). A conceptual framework for sustainable location, inventory and transportation problems in a supply chain context. Annals of Operations Research.
Ayala, R., Mula, J., Poler, R., Díaz-Madroñero, M. (2024). A proposal of analytical formulations to calculate safety lead times under demand variability. A case study. Ain Shams Engineering Journal, 15(9), 102902.
Bogataj, D., Campuzano-Bolarin, F., Moreno Nicolás, J. A. (2024). The impact of a new container port on the greenhouse gas pollution. Business Systems Research Journal, 15(2), 8-20.
Cañas, H., Mula, J., Campuzano-Bolarin, F. (2024). Strategical and tactical supply chain optimisation for smart production planning and control 4.0. International Journal of Production Research, 1-21.
Serrano-Ruiz, J. C., Mula, J., Poler, R., Díaz-Madroñero, M. (2024). Smart master production scheduling by deep reinforcement learning: an exploratory analysis. IFIP Advances in Information and Communication Technology, 727, 228-244.
Quintero, M., Mula, J., Campuzano-Bolarin, F. (2024). A conceptual framework for sustainable freight land transport simulation – Part 1. International Journal of Simulation Modelling, 23(3), 389-400.
Bussieweke, F., Mula, J., Campuzano-Bolarin, F. (2024). Optimisation of recovery policies in the era of supply chain disruptions: a system dynamics and reinforcement learning approach. International Journal of Production Research, 1-25.
Peidro, D., Martin, X. A., Panadero, J., Juan, A. A. (2024). Solving the uncapacitated facility location problem under uncertainty: a hybrid tabu search with path-relinking simheuristic approach. Applied Intelligence, 54, 5617-5638.
Bogataj, D., Campuzano-Bolarin, F., Moreno Nicolás, J. A., Sethi, S. P. (2024). Gravity modelling of intercontinental supply chains considering a new port location. Central European Journal of Operation Research.
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.
Aldás, D., Mula, J., Díaz-Madroñero, M. (2024). Dimensions and challenges to integrate operations strategies into a sustainable and circular supply chain. Lecture Notes on Data Engineering and Communications Technologies, 206, 403-408.
Becerra, P., Mula, J., Sanchis, R. (2024). An overview of shoring decisions for sustainable and resilient supply chains from a quantitative modelling perspective. Lecture Notes on Data Engineering and Communications Technologies, 206, 397-402.
Fateh, A., Mula, J., Diaz-Madroñero, M. (2024). An overview on optimisation and big data in supply chain 4.0. Lecture Notes on Data Engineering and Communications Technologies, 206, 507-513.
Guerrero, B., Mula, J., Poler, R. (2024). Sustainable operations management towards Industry 5.0. Lecture Notes on Data Engineering and Communications Technologies, 206, 243-247.
Moreno, J., Mula, J., Poler, R. (2024). Trends and future research into the integration of procurement transportation and inventory decisions. Lecture Notes on Data Engineering and Communications Technologies, 206, 270-275.
Mula, J., Sanchis, R., De la Torre, R., Becerra, P. (2024). Simulation and improvement of transshipment decisions in a fast-fashion retail network. Lecture Notes on Data Engineering and Communications Technologies, 206, 495-500.
Ponce, E., Mula, J., Peidro, D. (2024). Analysis of blockchain applications in the supply chain field. Lecture Notes on Data Engineering and Communications Technologies, 206, 264-269.
Reyes, J., Mula, J., Díaz-Madroñero, M., Andres, B. (2024). Normalised data model for cloud collaborative manufacturing: applied to the footwear industry. Lecture Notes on Data Engineering and Communications Technologies, 206, 409-414.
Rojas, T., Mula, J., Sanchis, R. (2024). Quantitative models for printing production planning in a lean manufacturing approach under uncertainty. Lecture Notes on Data Engineering and Communications Technologies, 206, 253-263.
Becerra, P., Mula, J., Sanchis, R., Campuzano-Bolarin, F. (2024). Simulation optimisation 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.
Rojas, T., Mula, J., Sanchis, R. (2023). Quantitative modelling approaches for lean manufacturing under uncertainty. International Journal of Production Research, 62(16), 5989-6015.
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.
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.
Becerra, P. (2023). Quantitative models of location, inventory and transportation decisions for sustainable supply chain management [Tesis doctoral]. Universitat Politècnica de València.