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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.
Azzamouri, A., Baptiste, P., Pellerin, R., & Dessevre, G. (2022). Impact of the continuous and periodic assessment of a buffer replenishment on the DDMRP method. International Journal of Production Research, 61(16), 5637-5658. External link
Azzamouri, A., Baptiste, P., Pellerin, R., & Dessevre, G. (2022). Impact of the continuous and periodic assessment of a buffer replenishment on the DDMRP method [Dataset]. External link
Azzamouri, A., Baptiste, P., Dessevre, G., & Pellerin, R. (2021). Demand Driven Material Requirements Planning (DDMRP): A systematic review and classification. Journal of Industrial Engineering and Management, 14(3), 18 pages. External link
Dessevre, G., & Ben Ali, M. (2024). Analysis of a new dynamic capacity management approach in DDMRP: Application on a real industrial case. Journal of Industrial Engineering and Management, 17(2), 445-462. Available
Dessevre, G., Lamothe, J., Pellerin, R., Ben Ali, M., Baptiste, P., & Pomponne, V. (2023). Comparison of pull management policies for a divergent process with DDMRP buffers: an industrial case study. International Journal of Production Research, 21 pages. External link
Dessevre, G., Baptiste, P., Lamothe, J., & Pellerin, R. (2023). Visual charts produced by simulation to correlate service rate, resource utilization and DDMRP parameters. International Journal of Production Research, 61(3), 741-753. External link
Dessevre, G. (2021). Contrôle du paramètre Decoupled Lead Time (DLT) et des temps de réponse dans un système piloté en DDMRP [Ph.D. thesis, Polytechnique Montréal]. Available
Dessevre, G., Lamothe, J., Pomponne, V., Baptiste, P., Lauras, M., & Pellerin, R. (2020, April). A DDMRP implementation user feedbacks and stakes analysis [Paper]. 8th International Conference on Information Systems, Logistics and Supply Chain: Interconnected Supply Chains in an Era of Innovation (ILS 2020), Austin, TX. Unavailable
Dessevre, G., & Ben Ali, M. (2020, November). Modélisation et simulation d'un module d'ajustement de la capacité d'un système DDMRP [Paper]. 13ème Conférence Francophone de Modélisation, Optimisation et Simulation (MOSIM2020), Agadir, Maroc. Unavailable
Dessevre, G., Martin, G., Baptiste, P., Lamothe, J., Pellerin, R., & Lauras, M. (2019, September). Decoupled Lead Time in finite capacity flowshop: a feedback loop approach [Paper]. International Conference on Industrial Engineering and Systems Management (IESM 2019), Shanghai, China (6 pages). External link