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Martin, G., Lauras, M., & Baptiste, P. (2023). Dynamical multi-parameter sizing of DDMRP buffers in finite capacity flow-shops. Computers & Industrial Engineering, 175, 108858 (10 pages). Lien externe
Duhem, L., Ben Ali, M., & Martin, G. (juin 2023). Paramétrisation du DDMRP avec l'apprentissage par renforcement [Communication écrite]. CIGI Qualita MOSIM 2023, Trois-Rivières, Qc, Canada. Lien externe
Duhem, L., Ben Ali, M., & Martin, G. (2023). Parametrization of a demand-driven operating model using reinforcement learning. Computers in Industry, 147, 12 pages. Lien externe
Dessevre, G., Martin, G., Baptiste, P., Lamothe, J., Pellerin, R., & Lauras, M. (septembre 2019). Decoupled Lead Time in finite capacity flowshop: a feedback loop approach [Communication écrite]. International Conference on Industrial Engineering and Systems Management (IESM 2019), Shanghai, China (6 pages). Lien externe
Martin, G., Lauras, M., Baptiste, P., Lamothe, J., Fouqu, A., & Miclo, R. (septembre 2019). Process control and decision-making for demand driven sales and operations planning [Communication écrite]. International Conference on Industrial Engineering and Systems Management (IESM 2019), Shanghai, China (6 pages). Lien externe
Martin, G., Baptiste, P., Lamothe, J., Miclo, R., & Lauras, M. (juillet 2018). A process map for the demand driven adaptive enterprise model: Towards an explicit cartography [Communication écrite]. 7th International Conference on Information Systems, Logistics and Supply Chain (ILS 2018), Lyon, France. Non disponible
