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Predicting Medicine Demand Fluctuations Through Markov Chain., , , and . SOHOMA, volume 1083 of Studies in Computational Intelligence, page 329-340. Springer, (2022)Medicine consumption demand forecasting in French hospitals using Seasonal Auto-Regressive Integrated Moving Average (SARIMA) models., , , and . ICCAD, page 1-6. IEEE, (2024)Solving a Job Shop Scheduling Problem Using Q-Learning Algorithm., , and . SOHOMA, volume 1083 of Studies in Computational Intelligence, page 196-209. Springer, (2022)A Reference Data Model for Material Flow Analysis in the Context of Material Handling System Design and Reconfiguration., , and . IEEM, page 1488-1492. IEEE, (2022)Challenges of Material Handling System Design in the Context of Industry 4.0., , and . SOHOMA, volume 1083 of Studies in Computational Intelligence, page 291-303. Springer, (2022)Knowledge-based multi-level aggregation for decision aid in the machining industry., , , , , and . CoRR, (2019)Le meilleur des cas pour l'ordonnancement de groupes: Un nouvel indicateur proactif-réactif pour l'ordonnancement sous incertitudes. (The best-case for groups of permutable operations: A new proactive-reactive parameter for scheduling under uncertainties).. École centrale de Nantes, France, (2017)A New HMI Scheduling Model Implemented on a Real Manufacturing Scheduling System., and . SOHOMA, volume 762 of Studies in Computational Intelligence, page 331-343. Springer, (2017)Minimizing tardiness for job shop scheduling under uncertainties., , and . CoDIT, page 582-587. IEEE, (2016)