Modular reconfiguration of flexible production systems using machine learning and performance estimates

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Scrimieri, D, Adalat, O, Afazov, S ORCID: https://orcid.org/0000-0001-5346-1933 and Ratchev, S, 2022. Modular reconfiguration of flexible production systems using machine learning and performance estimates. In: Bernard, A, Dolgui, A, Haddou Benderbal, H, Ivanov, D, Lemoine, D and Sgarbossa, F, eds., 10th IFAC Conference on Manufacturing Modelling, Management and Control MIM 2022 Nantes, France, 22-24 June 2022. Proceedings. IFAC-PapersOnLine, 55 . International Federation of Automatic Control, pp. 353-358.

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Official URL: https://doi.org/10.1016/j.ifacol.2022.09.412

Abstract

Paper presented at the 10th IFAC Conference on Manufacturing Modelling, Management and Control MIM 2022, 22-24 June 2022, Nantes, France.

Item Type:	Chapter in book
Creators:	Scrimieri, D., Adalat, O., Afazov, S. and Ratchev, S.
Publisher:	International Federation of Automatic Control
Date:	2022
Volume:	55
Identifiers:	Number Type 10.1016/j.ifacol.2022.09.412 DOI 1622844 Other
Rights:	Open access publication under the CC-BY-NC-ND License (https://creativecommons.org/licenses/by-nc-nd/4.0/). Accepted papers that have been presented at an IFAC meeting will be published in the proceedings of the event using the open-access IFAC-PapersOnLine series hosted on ScienceDirect (https://sciencedirect.coevent using the open-access IFAC-PapersOnLine series hosted on ScienceDirect (https://sciencedirect.com/). To this end, the author(s) must grant exclusive publishing rights to IFAC under a Creative Commons license when they submit the final version of the paper. The copyright belongs to the authors, who have the right to share the paper in the same terms allowed by the end user license, and retain all patent, trademark and other intellectual property rights (including research data). (https://www.ifac-control.org/publications/copyright-conditions).
Divisions:	Schools > School of Science and Technology
Record created by:	Jonathan Gallacher
Date Added:	29 Nov 2022 12:57
Last Modified:	29 Nov 2022 12:57
URI:	https://irep.ntu.ac.uk/id/eprint/47538