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Items where Author is "Santa-Eulalia, Luis Antonio"

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Number of items: 13.

D

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. In Artificial intelligence in industry 4.0 (Vol. 928, 85-97). External link

De Paula Ferreira, W., Armellini, F., Santa-Eulalia, L. A., & Rebolledo, C. (2019, August). Simulation-based approaches in industry 4.0 : a systematic literature review and meta-analysis [Paper]. Industry 4.0 and Artificial Intelligence Technologies (INAIT 2019), Cambridge, UK. Unavailable

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Luciani, F., De Paula Ferreira, W., Armellini, F., & Santa-Eulalia, L. A. (2021, November). An outlook on the contribution of agent-based modeling and simulation for innovation ecosystems [Paper]. 2021 ISPM Connects Valencia, Valencia, Spain. Unavailable

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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. (Technical Report n° CIRRELT-2014-12). External link

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. External link

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. (Technical Report n° CIRRELT-2011-22). External link

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). External link

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. Available

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. (Technical Report n° CIRRELT-2009-49). External link

Santa-Eulalia, L. A., D'Amours, S., Frayret, J.-M., Ait-Kadi, D., & Lemieux, S. (2009, May). Evaluating tactical planning and control policies for a softwood lumber supply chain through agent-based simulations [Paper]. International Conference on Industrial Engineering and Systems Management (IESM 2009), Montréal, Québec. External link

Santa-Eulalia, L. A., Frayret, J.-M., & D'Amours, S. (2007). Agent-based simulation for distributed supply chain planning: conceptual modeling, analysis and illustration. (Technical Report n° CIRRELT-2007-11). Unavailable

Santa-Eulalia, L. A., D'Amours, S., Frayret, J.-M., & Rousseau, A. (2023, October). Agent-based simulation for distributed supply chain planning : conceptual modeling and illustration [Paper]. 4th Annual International Symposium on Supply Chain Management Optimizing the Supply Chain, Toronto, Canada. Unavailable

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. (Technical Report n° CIRRELT-2011-23). External link

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