 | Up a level |
Collaboration networkThis graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
Use the mouse wheel or scroll gestures to zoom into the graph.
You can click on the nodes and links to highlight them and move the nodes by dragging them.
Hold down the "Ctrl" key or the "⌘" key while clicking on the nodes to open the list of this person's publications.
Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
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, pp. 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
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
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
