![]() | Monter d'un niveau |
De Paula Ferreira, W., Palaniappan, A., Armellini, F., Santa-Eulalia, L. A., Moscono, E., & Marion, G. (2021). Linking industry 4.0, learning factories and simulation modeling : testbeds and proof-of-concepts experiments. Dans Artificial intelligence in industry 4.0 (Vol. 928, p. 85-97). Lien externe
Luciani, F., De Paula Ferreira, W., Armellini, F., & Santa-Eulalia, L. A. (novembre 2021). An outlook on the contribution of agent-based modeling and simulation for innovation ecosystems [Communication écrite]. 2021 ISPM Connects Valencia, Valencia, Spain. Non disponible
De Paula Ferreira, W., Armellini, F., Santa-Eulalia, L. A., & Rebolledo, C. (août 2019). Simulation-based approaches in industry 4.0 : a systematic literature review and meta-analysis [Communication écrite]. Industry 4.0 and Artificial Intelligence Technologies (INAIT 2019), Cambridge, UK. Non disponible
Saba, V., Lehoux, N., Santa-Eulalia, L. A., D'Amours, S., Frayret, J.-M., & Venkatadri, U. (2014). Supply chain modelling frameworks for forest products industry; A systematic literature review. (Rapport technique n° CIRRELT-2014-12). Lien externe
Santa-Eulalia, L. A., D'Amours, S., & Frayret, J.-M. (2012). Agent-Based Simulations for Advanced Supply Chain Planning and Scheduling: the Famass Methodological Framework for Requirements Analysis. International Journal of Computer Integrated Manufacturing, 25(10), 963-980. Lien externe
Santa-Eulalia, L. A., D'Amours, S., & Frayret, J.-M. (2011). Agent-based simulations for advanced supply chain planning: the FAMASS methodological framework for requirements analysis. (Rapport technique n° CIRRELT-2011-22). Lien externe
Santa-Eulalia, L. A., D'Amours, S., & Frayret, J.-M. (2011). An agent-based strategy for deploying analysis models into specification and design for distributed APS systems. International Journal of Computer Science Issues, 8(3). Lien externe
Santa-Eulalia, L. A., Halladjian, G., D'Amours, S., & Frayret, J.-M. (2011). Integrated methodological frameworks for modelling agent-based advanced supply chain planning systems: A systematic literature review. Journal of Industrial Engineering and Management, 4(4), 624-668. Disponible
Santa-Eulalia, L. A., Ait-Kadi, D., D'Amours, S., Frayret, J.-M., & Lemieux, S. (2009). Agent-based experimental investigations of the robustness of tactical planning and control policies in a softwood lumber supply chain. (Rapport technique n° CIRRELT-2009-49). Lien externe
Santa-Eulalia, L. A., D'Amours, S., Frayret, J.-M., Ait-Kadi, D., & Lemieux, S. (mai 2009). Evaluating tactical planning and control policies for a softwood lumber supply chain through agent-based simulations [Communication écrite]. International Conference on Industrial Engineering and Systems Management (IESM 2009), Montréal, Québec. Lien externe
Santa-Eulalia, L. A., Frayret, J.-M., & D'Amours, S. (2007). Agent-based simulation for distributed supply chain planning: conceptual modeling, analysis and illustration. (Rapport technique n° CIRRELT-2007-11). Non disponible
Santa-Eulalia, L. A., D'Amours, S., Frayret, J.-M., & Rousseau, A. (octobre 2023). Agent-based simulation for distributed supply chain planning : conceptual modeling and illustration [Communication écrite]. 4th Annual International Symposium on Supply Chain Management Optimizing the Supply Chain, Toronto, Canada. Non disponible
Santa-Eulalia, L. A., D'Amours, S., & Frayret, J.-M. Integrated methodological frameworks for modelling agent-based advanced supply chain planning systems: a systematic literature review. (Rapport technique n° CIRRELT-2011-23). Lien externe