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Christophe Danjou
Doctorat, Université de Technologie de Compiègne; Dipl. Ingénieur, Université de Technologie de Compiègne

Research interests and affiliations

Research interests
  • Industry 4.0
  • Interoperability
  • Automated process planning
  • Product Lifecycle Management (PLM)
Expertise type(s) (NSERC subjects)
  • 1602 Management information systems
  • 1604 Manufacturing
  • 1606 Operations management


Recent publications
Journal article
Ostermeyer, E., Danjou, C., Durupt, A. & Duigou, J.L. (2018). An ontology-based framework for the management of machining information in a data mining perspective. IFAC-PapersOnLine, 51(11), 302-307. Retrieved from
Journal article
Danjou, C., Le Duigou, J. & Eynard, B. (2017). Closed-loop manufacturing process based on STEP-NC. International Journal on Interactive Design and Manufacturing (IJIDeM), 11(2), 233-245. Retrieved from
Conference paper
Danjou, C., Rivest, L. & Pellerin, R. (2017). Douze positionnements stratégiques pour l'Industrie 4.0 : entre processus, produit et service, de la surveillance à l'autonomie. Paper presented at the 12e Congrès international de génie industriel (CIGI 2017), Compiègne, France.
Journal article
Danjou, C., Le Duigou, J. & Eynard, B. (2017). Manufacturing knowledge management based on STEP-NC standard: a Closed-Loop Manufacturing approach. International Journal of Computer Integrated Manufacturing, 30(9), 995-1009. Retrieved from


C. Danjou joined the Polytechnique Montréal as a Professor on January 2018. He obtained is PhD at the UTC (Université de Technologie de Compiègne), where he previously completed an engineering diploma in Industrial Engineering. As part of the Industry 4.0, his research is geared towards solving interoperability issues in order to reach new capabilities to control and manage systems. His major works can be divided into 2 parts: On one hand he has focused on developing a strategic positioning for industry 4.0 and on the other hand he developed, OntoSTEP-NC, an ontological approach in order to pilot CNC machines and allow interoperability from manufacturing to process engineering.