Christophe Danjou
Doctorat, Université de Technologie de Compiègne; Dipl. Ingénieur, Université de Technologie de Compiègne
Associate Professor
Department of Mathematical and Industrial Engineering
Department of Mathematical and Industrial Engineering
Areas of expertise
Industrial engineering Management information systems Manufacturing Operations management Design and manufacturing Industry 4.0
Industrial engineering Management information systems Manufacturing Operations management Design and manufacturing Industry 4.0
Primary sphere of excellence in research
Industry of the Future and Digital Society
Industry of the Future and Digital Society
Secondary sphere(s) of excellence in research
Information and Communication Technologies Modeling and Artificial Intelligence
Information and Communication Technologies Modeling and Artificial Intelligence
Student research project(s)
Research interests and affiliations
Research interests
- Industry 4.0 / Industry 5.0 / Digital transformation
- Automated process planning
- Product Lifecycle Management (PLM)
- Interoperability
- Blockchain
Affiliation(s)
- Laboratoire Poly-Industries 4.0, Director
- Research Group on Globalisation and Management of Technology (GMT), Member
- Laboratoire en intelligence des données, Member
- Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation (CIRRELT), Member
- Institute for Data Valorization (IVADO), Member
Expertise type(s) (NSERC subjects)
- 1600 INDUSTRIAL ENGINEERING
- 1602 Management information systems
- 1604 Manufacturing
- 1606 Operations management
- 1700 DESIGN AND MANUFACTURING
- 1702 Advanced manufacturing
Publications
Featured
Conference paper
Report
Danjou, C. (2019, June). Lean 4.0 [Paper]. 7th International Conference on Signal, Image Processing and Pattern Recognition (SIPP 2019), Compiègne, France.
Danjou, C., Rivest, L., & Pellerin, R. (2017). PME 2.0 : Le passage au numérique : Industrie 4.0 : des pistes pour aborder l'ère du numérique et de la connectivité. (Technical Report).
See all publications (65)
Biography
C. Danjou joined Polytechnique Montreal as a professor in January 2018. He received his PhD from UTC (Université de Technologie de Compiègne), where he had previously earned his engineering degree in industrial engineering. He is the scientific director of the laboratory in Industry 4.0 since June 2021. In the context of digital transformation (Industry 4.0/5.0), his research aims at solving interoperability issues to enable new capabilities for system control and management. His main work is divided into two themes: On the one hand, he is interested in the development of an analysis grid to define strategic positioning for Industry 4.0 and roadmaps to address the digital shift and, on the other hand, he is interested in the development of knowledge management and interoperability solutions through ontological approaches - OntoSTEP-NC - and blockchain technology.
Supervision at Polytechnique
IN PROGRESS
-
Post-doctoral fellowship (1)
-
Heroux-Vaillancourt, Mikaël.
-
-
Ph.D. (6)
-
Smati, Meriem.
-
Baesso, Keila.
-
Boudina, Ahlam.
-
Damaj, Ghaleb.
-
Parrenin, Loic.
-
Vadeboncoeur, Dominic.
-
-
Master (thesis) (5)
-
Jodeau, Claire.
-
Njah, Syrine.
-
Jacquet, Lucas.
-
Momen, Salman.
-
Pons, Julien.
-
COMPLETED
-
Master's Thesis (14)
- Joudane, K. (2023). Méthodologie pour évaluer la qualité des données dans le cadre d'un projet de transformation numérique [Master's thesis, Polytechnique Montréal].
- Lasnier, F.-A. (2023). Analyse des pratiques organisationnelles d'excellence pour la pré-adoption de la blockchain [Master's thesis, Polytechnique Montréal].
- Asgharifard, P. (2022). Digital Technology Adoption as a Factor to Build Supply Chain Resilience: The Case of an Animal-Food Supply Chain During the COVID-19 Pandemic Crisis [Master's thesis, Polytechnique Montréal].
- Azad, M. S. B. (2022). Multi-Protocol Interoperability Between Distributed Cyber-Physical Systems Towards Industry 4.0 Collaborative Optimization [Master's thesis, Polytechnique Montréal].
- Bechtold, J. (2022). Développement d'un contrôleur natif STEP-NC de machine-outil à commande numérique interopérable et compact [Master's thesis, Polytechnique Montréal].
- Savi, H. (2022). Développement d'un outil d'appariement client-fournisseur dans un contexte de transformation numérique [Master's thesis, Polytechnique Montréal].
- Hamdavi Mohammad Pure, S. (2021). Proposal of a Model to Enhance Safety of Machinery during Operation and Maintenance in the Era of Digitalization and Connectivity [Master's thesis, Polytechnique Montréal].
- Piat, J.-R. (2021). Feuille de route pour la mise en place de système cyber-physique en PME : application dans une meunerie industrielle biologique [Master's thesis, Polytechnique Montréal].
- Guilhen, L. (2020). C3PO : Une ontologie développée pour le pilotage de la production fromagère au Québec [Master's thesis, Polytechnique Montréal].
- Mosser, J. (2020). Cartographie 4.0 pour la transformation numérique des processus [Master's thesis, Polytechnique Montréal].
- Panquet, Q. (2020). Méthode d'implantation du pilotage de projet par la valeur acquise en entreprise [Master's thesis, Polytechnique Montréal].
- Bled, A. (2019). Le retour d'expérience par l'intermédiaire des concepts de l'Industrie 4.0 en gestion de projets [Master's thesis, Polytechnique Montréal].
- Cousin, N. (2019). Exploitation des technologies de l'Industrie 4.0 à des fins de génération du As-Built Schedule en gestion de projets [Master's thesis, Polytechnique Montréal].
- Roland, T. (2019). Élaboration d'une structure intégrée d'indicateurs de performance pour le pronostic des activités de chantier [Master's thesis, Polytechnique Montréal].
Press review about Christophe Danjou
September 11, 2023,
Revue PLAN - OIQ,
Plan | De la meunerie à l'université p.48
Bruno Agard et Christophe Danjou, professeurs au Laboratoire en Intelligence des Données (LID), présentent leur projet de recherche sur la qualité de mouture du grain dans une meunerie.
