Camélia Dadouchi

According to our database, Camélia Dadouchi authored at least 11 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of five.

2025

Real-Time Decision Support System for Dynamic Optimization in Multi-Product Process Manufacturing.

Mustapha Belmouadden, Camélia Dadouchi, Robert Pellerin

IEEE Access, 2025

2024

An Inventory Management Support Tool Through Indirect Q-Value Estimation: A Combined Optimization and Forecasting Approach.

Amanda Rodrigues Delfiol, Camélia Dadouchi, Bruno Agard, Philippe St-Aubin

Proceedings of the Innovative Intelligent Industrial Production and Logistics, 2024

Applied Data Analytics Approach for Defect Root Causes Analysis in Manufacturing: The Case of Multi-Product Assembly Lines.

Louis Puech, Ambre Dupuis, Camélia Dadouchi, Robert Pellerin

Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

Artificial intelligence applied in adaptive manufacturing process monitoring: a state-of-the-art in the era of automation.

Mustapha Belmouadden, Camélia Dadouchi, Robert Pellerin

Proceedings of the CENTERIS 2024 - International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist, 2024

2023

A decision support system for sequencing production in the manufacturing industry.

Ambre Dupuis, Camélia Dadouchi, Bruno Agard

Comput. Ind. Eng., November, 2023

Digital Technologies and Emotions: Spectrum of Worker Decision Behavior Analysis.

Ambre Dupuis, Camélia Dadouchi, Bruno Agard

Proceedings of the Product Lifecycle Management. Leveraging Digital Twins, Circular Economy, and Knowledge Management for Sustainable Innovation, 2023

2022

Context-Aware Interactive Knowledge-Based Recommendation.

Camélia Dadouchi, Bruno Agard, Benoît Montreuil

SN Comput. Sci., 2022

Predicting crop rotations using process mining techniques and Markov principals.

Ambre Dupuis, Camélia Dadouchi, Bruno Agard

Comput. Electron. Agric., 2022

Forecasting Future Product Sequences To Be Processed In Tire Production Using Deep Learning Technique.

Ambre Dupuis, Camélia Dadouchi, Bruno Agard, Robert Pellerin

Proceedings of the CENTERIS 2022 - International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist, 2022

2021

Recommender systems as an agility enabler in supply chain management.

Camélia Dadouchi, Bruno Agard

J. Intell. Manuf., 2021

2018

Lowering penalties related to stock-outs by shifting demand in product recommendation systems.

Camélia Dadouchi, Bruno Agard

Decis. Support Syst., 2018