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Nguyen, A., Bougacha, O., Lekens, B., Lamouri, S., Pellerin, R., & Couvreur, C. (2022, November). On the use of logistics data to anticipate drugs shortages through data mining [Paper]. International Conference on ENTERprise Information Systems (CENTERIS 2022), Lisbon, Portugal. Published in Procedia Computer Science, 219. External link
Nguyen, A., Pellerin, R., Lamouri, S., & Lekens, B. (2022). Managing demand volatility of pharmaceutical products in times of disruption through news sentiment analysis. International Journal of Production Research, 61(9), 2829-2840. External link
Nguyen, A., Lamouri, S., Pellerin, R., Tamayo, S., & Lekens, B. (2021). Data analytics in pharmaceutical supply chains: state of the art, opportunities, and challenges. International Journal of Production Research, 60(22), 6888-6907. External link
Nguyen, A., Lamouri, S., & Pellerin, R. (2021, June). Managing demand volatility during unplanned events with sentiment analysis: a case study of the COVID-19 pandemic [Paper]. 17th IFAC Symposium on Information Control Problems in Manufacturing (INCOM 2021), Budapest, Hongrie. Published in IFAC-Papers Online, 54(1). External link
Nguyen, A., Usuga-Cadavid, J. P., Lamouri, S., Grabot, B., & Pellerin, R. (2020, October). Understanding Data-Related Concepts in Smart Manufacturing and Supply Chain Through Text Mining [Paper]. 10th International Workshop on Service Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future (SOHOMA 2020), Paris, France. External link
