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This 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.
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A 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.
Labelle, A., El Anbri, G., & Keivanpour, S. (2024). L'économie circulaire : le nouvel horizon de l'industrie aérospatiale. (Technical Report n° 2024-17). External link
Labelle, A., & Frayret, J.-M. (2024). Word-of-mouth in agent-based simulation model of reverse logistics. Frontiers in Sustainability, 5, 13 pages. Available
Labelle, A. (2023). Développement et application d'un modèle de simulation à base d'agents pour l'analyse de stratégies de logistique inverse : une étude de cas sur les bouteilles de vin au Québec [Ph.D. thesis, Polytechnique Montréal]. Available
Labelle, A., & Frayret, J.-M. (2023). First-mile reverse logistics: An agent-based modelling and simulation application for glass bottle recovery. Journal of Cleaner Production, 422, 138574 (11 pages). External link
Labelle, A., Shahnejat Bushehri, A., & Keivanpour, S. (2020, November). Application of game-based simulation for effective teaching in manufacturing planning and control: The case of inventory management [Paper]. 13th annual International Conference of Education, Research and Innovation (ICERI 2020). External link
Labelle, A., & Frayret, J.-M. (2019). Erratum : Agent-based model for end-of-life product flow analysis. Resources, 8(1), 1 page. Available
Labelle, A., & Frayret, J.-M. (2018). Agent-based model for end-of-life product flow analysis. Resources, 7(3), 1-20. Available
Labelle, A., & Frayret, J.-M. (2018, July). Agent-based simulation model of consumer behaviour for end-of-life product flow analysis [Paper]. 7th International Conference on Information Systems, Logistics and Supply Chain (ILS 2018), Lyon, France. Unavailable