LE DUIGOU Julien
Expertise
Discover the specialized technical skills and disciplinary affiliations of our members, who represent the federated communities of the Arts & Humanities, Science & Engineering, and Medicine within the Sorbonne University Alliance.
Activities
Overview the professional milestones, academic responsibilities, and international collaborations that drive our center’s double ambition to excel in both research and education.
Selected publications
- Jinhua Xiao, Nabil Anwer, Alexandre Durupt, Julien Le Duigou, Benoît Eynard. Information exchange standards for design, tolerancing and additive manufacturing: a research review. International Journal on Interactive Design and Manufacturing, 2018/12 (2), p.495-504.
- Gaëtan Blondet, Julien Le Duigou, Nassim Boudaoud, Benoît Eynard. An ontology for numerical design of experiments processes. Computers in Industry, 2018/92, p.26-40.
- Barros Garcia, I., Daaboul, J., Jouglet, A., & Le Duigou, J. (2024). Optimizing process planning, layout, and scheduling problems in Reconfigurable Manufacturing Systems with sequential and integrated models. International Journal of Industrial Engineering and Management, 15(2), 140–155. http://doi.org/10.24867/IJIEM-2024-2-353
- Maalouf, E., Daaboul, J., Le Duigou, J., Hussein, B. (2022). Production management for mass customization and smart cellular manufacturing system: NSGAII and SMPSO for factory-level planning. International Journal of Advanced Manufacturing Technology, 120, 6833–6854. https://doi.org/10.1007/s00170-022-09188-y
- Zheng, C., An, Y., Wang, Z., Qin, X., Eynard, B., Bricogne, M., Le Duigou, J., & Zhang, Y. (2022). Knowledge-based engineering approach for defining robotic manufacturing system architectures. International Journal of Production Research, https://doi.org/10.1080/00207543.2022.2037025
- Campos Sabioni, R., Daaboul, J., & Le Duigou, J. (2022). Joint optimization of product configuration and process planning in Reconfigurable Manufacturing Systems. International Journal of Industrial Engineering and Management, 13(1), 58-75. http://doi.org/10.24867/IJIEM-2022-1-301