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Schmid, Jonas, Sommer, Lutz, Ramos, Joao and Guo, Xiao
2024.
Concept of hybrid-modelled digital twins for energy optimisation and flexible manufacturing systems for SMEs.
Presented at: 57th CIRP Conference on Manufacturing Systems 2024 (CMS 2024),
Portugal,
29-31 May 2024.
Procedia CIRP.
, vol.130
Elsevier,
pp. 711-717.
10.1016/j.procir.2024.10.153
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| Sommer, L., Schmid, J. and Guo, X.J. 2024. Open-source approach for modelling digital twins in non-profit organisations. Thrassou, A., Vrontis, D., Efthymiou, L., Weber, Y., Shams, S.M.R. and Tsoukatos, E., eds. Non-Profit Organisations, Volume IV Structures, Models and Technology, Palgrave Studies in Cross-disciplinary Business Research, In Association with EuroMed Academy of Business, Cham, Switzerland: Palgrave Macmillan, pp. 227-253. (10.1007/978-3-031-62538-1_10) |
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Liu, Yuhan, Liu, Ying  ORCID: https://orcid.org/0000-0001-9319-5940, McCrory, John and Guo, Xiao
2024.
High-fidelity digital twin modelling for predictive maintenance state-of-the-art.
Presented at: The 51st International Conference on Computers and Industrial Engineering (CIE51),
Sydney, Australia,
9-11 December 2024.
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Alasmari, Loloah, Packianather, Michael ORCID: https://orcid.org/0000-0002-9436-8206, Tuthill, Peter, Liu, Ying ORCID: https://orcid.org/0000-0001-9319-5940 and Guo, Xiao
2024.
Assessing the circular transformation of warehouse operations through simulation.
Presented at: The International Conference on Industry 4.0 and Smart Manufacturing (ISM),
Prague, Czech Republic,
20-22 November 2024.
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