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Bakker, H., Arunkumar, G., Krishnakumari, P. K., Gromicho, J., Côté, F. L., Lahrichi, N., Jha, P., Shrestha, S., Mulmi, R., Bhusal, N., Stapith, D., Jha, R., Shrestha, L., Naidoo, D., Samuel, R., & del Rio Vilas, V. (2024). Coordination strategies to improve COVID-19 PCR laboratory testing scale up in Nepal: An analysis. PLoS ONE, 19(12), e0314746-e0314746. Disponible
Bakker, H., Arunkumar, G., Krishnakumari, P. K., Gromicho, J., Côté, F. L., Lahrichi, N., Jha, P., Shrestha, S., Mulmi, R., Bhusal, N., Stapith, D., Jha, R., Shrestha, L., Naidoo, D., Samuel, R., & del Rio Vilas, V. (2024). COVID-19 daily situation reports - partial data extracted to .csv [Ensemble de données]. Lien externe
Jafari, A., Legrain, A., & Lahrichi, N. (juillet 2024). Real-time demand-driven inventory management in a hospital pharmacy [Résumé]. 25th International Symposium on Mathematical Programming (ISMP 2024), Montréal, QC, Canada. Lien externe
Krishnakumari, P. K., Bakker, H., Lahrichi, N., Côté, F. L., Gromicho, J., Govindakarnavar, A., Jha, P., Shrestha, S., Mulmi, R., Bhusal, N., Stapith, D., Jha, R., Shrestha, L., Samuel, R., Naidoo, D., & Del Rio Vilas, V. (2024). Assessment of geographical accessibility to COVID-19 testing facilities in Nepal (2021). The Lancet Regional Health - Southeast Asia, 27, 100436 (17 pages). Lien externe
Laferrière-Langlois, P., Imrie, F., Geraldo, M.-A., Wingert, T., Lahrichi, N., van der Schaar, M., & Cannesson, M. (2024). Novel Preoperative Risk Stratification Using Digital Phenotyping Applying a Scalable Machine-Learning Approach. Anesthesia & Analgesia, 139(1), 174-185. Lien externe
Nguyen, N.-D., Gendron, B., & Lahrichi, N. (2024). A parking incentive allocation problem for ridesharing systems. Transportation Research Part C: Emerging Technologies, 166, 104782 (23 pages). Lien externe
Nikzad, E., & Lahrichi, N. (juillet 2024). Master Surgery Scheduling Problem Considering Uncertainty in Time of Stay in Downstream Units; A Matheuristic Solution Approach [Résumé]. 25th International Symposium on Mathematical Programming (ISMP 2024), Montréal, QC, Canada. Lien externe
Niroumandrad, N., Lahrichi, N., & Lodi, A. (2024). Learning tabu search algorithms: a scheduling application. Computers & Operations Research, 170, 106751 (16 pages). Lien externe
Pinçon, C., Legrain, A., & Lahrichi, N. (juillet 2024). Multi-objective scheduling of chemotherapy drug preparation [Résumé]. 25th International Symposium on Mathematical Programming (ISMP 2024), Montréal, QC, Canada. Lien externe
Thompson, J. O., Lahrichi, N., Meyer, P., Mohammadi, M., & Thevenin, S. (juin 2024). A Large Neighborhood Search Metaheuristic for the Stochastic Mixed Model Assembly Line Balancing Problem with Walking Workers [Communication écrite]. 15th International Conference on Metaheuristics (MIC 2024), Lorient, France. Lien externe
