Actionable cognitive twins for decision making in manufacturing
Author:
Affiliation:
1. Jožef Stefan International Postgraduate School, Ljubljana, Slovenia
2. Jožef Stefan Institute, Ljubljana, Slovenia
3. Qlector d.o.o., Ljubljana, Slovenia
4. EPFL SCI-STI-DK, Lausanne Switzerland
Funder
Slovenian Research Agency
European Union's Horizon 2020 program project FACTLOG
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management
Link
https://www.tandfonline.com/doi/pdf/10.1080/00207543.2021.2002967
Reference144 articles.
1. Abburu, Sailesh, Arne J. Berre, Michael Jacoby, Dumitru Roman, Ljiljana Stojanovic, and Nenad Stojanovic. 2020. “COGNITWIN–Hybrid and Cognitive Digital Twins for the Process Industry.” In 2020 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC), 1–8. IEEE.
2. Abdullah, Mohd Syazwan, Ian Benest, Andy Evans, and Chris Kimble. 2002. “Knowledge Modelling Techniques for Developing Knowledge Management Systems.” In Third European Conference on Knowledge Management: Trinity College Dublin, Ireland, 17.
3. The use of Digital Twin for predictive maintenance in manufacturing
4. Al Sunny, S. M. Nahian, Xiaoqing F. Liu, and Md Rakib Shahriar. 2017. “Mtcomm: A Semantic Ontology Based Internet Scale Communication Method of Manufacturing Services in a Cyber-Physical Manufacturing Cloud.” In 2017 IEEE International Congress on Internet of Things (ICIOT), 121–128. IEEE.
5. Ameri, Farhad, Colin Urbanovsky, and Christian McArthur. 2012. “A Systematic Approach to Developing Ontologies for Manufacturing Service Modeling.” In Proceedings of the Workshop on Ontology and Semantic Web for Manufacturing. Vol. 14. Graz, Austria
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