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A data-driven framework to deal with intrinsic variability of industrial processes : an application in the textile industry

P. Lajoie, Jonathan Gaudreault, N. Lehoux and Maha Ben Ali

Paper (2019)

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Department: Department of Mathematics and Industrial Engineering
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: 25 Sep 2024 16:30
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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