Author of the chapters below :
Curriculum vitae :
Philippe Thomas was born in 1969 in France and received his PhD from the University Henri Poincaré Nancy 1 in 1997 and his professorial thesis from the Lorraine University in 2014. He spent five years with the Systèmes et Transports Laboratory at the Technical University of Belfort-Montbéliard, where he studied model-based diagnosis using neural networks. He is currently an Associate Professor and Researcher at the Centre de Recherche en Automatique de Nancy (CRAN-UMR7039), which is affiliated with the CNRS and Lorraine University. His research interests focus on the use of learning machine, and more particularly neural network, in production management domain. In particular, he collaborates with ACTA mobilier company to exploit machine learning approach to improve quality in a lacquering process
Web Site :
Publications since 2015 :
Publications referenced on ORCID 
(13) ►
- An image is worth 10,000 points: Neural network architectures and alternative log representations for lumber production prediction, in Computers in Industry ; 2023.
- Toward digital twins for sawmill production planning and control: benefits, opportunities, and challenges, in International Journal of Production Research ; 2023.
- Coupling digital simulation and machine learning metamodel through an active learning approach in Industry 4.0 context, in Computers in Industry ; 2021.
- Multicriteria decision-making method for scheduling problem based on smart batches and their quality prediction capability, in Computers in Industry ; 2021.
- Using a classifier ensemble for proactive quality monitoring and control: The impact of the choice of classifiers types, selection criterion, and fusion process, in Computers in Industry ; 2018.
- Reconfiguration process for neuronal classification models: Application to a quality monitoring problem, in Computers in Industry ; 2016.
- Introduction | Introduction, in Journal Europeen des Systemes Automatises ; 2016.
- Limiter l'impact de la non-qualité sur la gestion des flux de production dans les ateliers à forts taux de reprises: Application au cas d'un fabricant de mobiliers laques de très haute qualité, in Journal Europeen des Systemes Automatises ; 2016.
- Gradient-based controllers for timed continuous Petri nets, in International Journal of Systems Science ; 2015.
Journal articles (9)
- K-means Clustering based method for production flow management facing rework disturbances, in ILS 2016 - 6th International Conference on Information Systems, Logistics and Supply Chain ; 2016.
- Reduced simulation model for flow analysis in a sawmill internal supply chain, in Proceedings of 2015 International Conference on Industrial Engineering and Systems Management, IEEE IESM 2015 ; 2016.
- Perceptron learning for classification problems impact of cost-sensitivity and outliers robustness, in IJCCI 2015 - Proceedings of the 7th International Joint Conference on Computational Intelligence ; 2015.
Conference papers (3)
- Dissimilarity to Class Medoids as Features for 3D Point Cloud Classification ; 2021.