Patrice Lajoie, Jonathan Gaudreault, Nadia Lehoux and Maha Ben Ali
Paper (2019)
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| Department: | Department of Mathematics and Industrial Engineering |
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| PolyPublie URL: | https://publications.polymtl.ca/43739/ |
| Conference Title: | 9th IFAC Conference on Manufacturing Modelling, Management and Control |
| Conference Location: | Berlin, Germany |
| Conference Date(s): | 2019-08-28 - 2019-08-30 |
| Journal Title: | IFAC-PapersOnLine (vol. 52, no. 13) |
| Publisher: | Elsevier |
| DOI: | 10.1016/j.ifacol.2019.11.202 |
| Official URL: | https://doi.org/10.1016/j.ifacol.2019.11.202 |
| Date Deposited: | 18 Apr 2023 15:02 |
| Last Modified: | 08 Apr 2025 12:23 |
| Cite in APA 7: | Lajoie, P., Gaudreault, J., Lehoux, N., & Ben Ali, M. (2019, August). A data-driven framework to deal with intrinsic variability of industrial processes : an application in the textile industry [Paper]. 9th IFAC Conference on Manufacturing Modelling, Management and Control, Berlin, Germany. Published in IFAC-PapersOnLine, 52(13). https://doi.org/10.1016/j.ifacol.2019.11.202 |
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