Belmouadden, M., Dadouchi, C., & Pellerin, R. (2025). Artificial intelligence applied in adaptive manufacturing process monitoring: a state-of-the-art in the era of automation. Procedia Computer Science, 256, 47-54.
Directory of Experts
Dadouchi, Camélia
Directory of Experts
Dadouchi, Camélia
Directory of Experts
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Journal article (11)
Conference paper (10)
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Camélia Dadouchi (22)
- 2025 (2)
Journal article Journal article Belmouadden, M., Dadouchi, C., & Pellerin, R. (2025). Real-Time Decision Support System for Dynamic Optimization in Multi-Product Process Manufacturing. IEEE Access, 11, 53895-53908.
- 2024 (3)
Journal article Hajli, K., Rönnqvist, M., Dadouchi, C., Audy, J.-F., Cordeau, J.-F., Warya, G., & Ngo, T. (2024). A fuel consumption prediction model for ships based on historical voyages and meteorological data. Journal of Marine Engineering & Technology, 2371192 (12 pages).Conference paper Rodrigues Delfiol, A., Dadouchi, C., Agard, B., & St-Aubin, P. (2024, November). An Inventory Management Support Tool Through Indirect Q-Value Estimation: A Combined Optimization and Forecasting Approach [Paper]. 5th International Conference on Innovative Intelligent Industrial Production and Logistics (IN4PL 2024), Porto, Portugal. Published in Communications in computer and information science.Conference paper Puech, L., Dupuis, A., Dadouchi, C., & Pellerin, R. (2024, July). Applied Data Analytics Approach for Defect Root Causes Analysis in Manufacturing: The Case of Multi-Product Assembly Lines [Paper]. 2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC 2024), Osaka, Japan.
- 2023 (7)
Journal article Dupuis, A., Dadouchi, C., & Agard, B. (2023). A decision support system for sequencing production in the manufacturing industry. Computers & Industrial Engineering, 185, 109686 (14 pages).Conference paper Dupuis, A., Dadouchi, C., & Agard, B. (2023, July). Digital Technologies and Emotions: Spectrum of Worker Decision Behavior Analysis [Paper]. 20th IFIP WG 5.1 International Conference on Product Lifecycle Management (PLM 2023), Montreal, QC, Canada.Journal article Ferguene, M., Lehoux, N., & Dadouchi, C. (2023). Forecasting models for Quebecs lumber demand and exports using multivariate regression technique. Forestry Chronicle, 99(1), 103-116.Conference paper Hajli, K., Ronnqvist, M., Cordeau, J.-F., Audy, J.-F., Dadouchi, C., Warya, G., & Ngo, T. (2023, June). Fuel consumption prediction models for different types of bulk carriers based on historical voyages, meteorological data vessel characteristics [Paper]. CIGI Qualita MOSIM 2023, Trois-Rivières, Qc, Canada (7 pages).Journal article Dupuis, A., Dadouchi, C., & Agard, B. (2023). Methodology for multi-temporal prediction of crop rotations using recurrent neural networks. Smart Agricultural Technology, 4, 100152 (13 pages).Journal article Dupuis, A., Dadouchi, C., & Agard, B. (2023). Performances of a Seq2Seq-LSTM methodology to predict crop rotations in Québec. Smart Agricultural Technology, 4, 100180 (12 pages).Conference paper Dupuis, A., Dadouchi, C., & Agard, B. (2023, June). Technologies numériques et émotions : spectre d'analyse du comportement décisionnel des travailleurs [Paper]. CIGI Qualita MOSIM 2023, Trois-Rivières, Qc, Canada (7 pages).
- 2022 (3)
Journal article Dadouchi, C., Agard, B., & Montreuil, B. (2022). Context-Aware Interactive Knowledge-Based Recommendation. SN Computer Science, 3(6), 14 pages.Conference paper Dupuis, A., Dadouchi, C., Agard, B., & Pellerin, R. (2022, November). Forecasting future product sequences to be processed in tire production using deep learning technique [Paper]. International Conference on ENTERprise Information Systems (CENTERIS 2022), Lisbon, Portugal. Published in Procedia Computer Science, 219.Journal article Dupuis, A., Dadouchi, C., & Agard, B. (2022). Predicting crop rotations using process mining techniques and Markov principals. Computers and Electronics in Agriculture, 194, 106686 (16 pages).
- 2021 (1)
Journal article Dadouchi, C., & Agard, B. (2021). Recommender systems as an agility enabler in supply chain management. Journal of Intelligent Manufacturing, 32(5), 1229-1248.
- 2020 (1)
Conference paper Dadouchi, C., & Agard, B. (2020, April). Considering quasi-real time delivery information in product recommendation [Paper]. 8th International Conference on Information Systems, Logistics and Supply Chain: Interconnected Supply Chains in an Era of Innovation (ILS 2020), Austin, TX.
- 2019 (2)
Thesis Dadouchi, C. (2019). Intégration de contraintes industrielles dans la recommandation de produits pour la prise en compte de la capacité à répondre à la demande [Ph.D. thesis, Polytechnique Montréal].Conference paper Dadouchi, C., Agard, B., & Montreuil, B. (2019, June). Recommandation interactive, une solution au démarrage à froid [Paper]. 13e Congrès international de génie industriel (CIGI 2019), Montréal, Québec, Canada.
- 2018 (1)
Journal article Dadouchi, C., & Agard, B. (2018). Lowering penalties related to stock-outs by shifting demand in product recommendation systems. Decision Support Systems, 114, 61-69.
- 2017 (1)
Conference paper Dadouchi, C., & Agard, B. (2017, May). État de l'art sur les systèmes de recommandation [Paper]. 12e Congrès international de génie industriel (GI 2017), Compiègne, France.
- 2016 (1)
Conference paper Dadouchi, C., Ducharme, C., & Agard, B. (2016, August). L'utilisation des SIG comme outil d'aide à la décision d'expansion commerciale: une étude de cas aux détaillants d'alcool à Laval [Paper]. 11e Conférence Francophone d'Optimisation et Simulation (MOSIM), Montréal, Québec.
