Multi-scale modelling of manufacturing systems using ontologies and delta-lenses

Walter Terkaj, Qunfen Qi, Marcello Urgo, Paul J. Scott, Xiangqian Jiang

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)


The adoption of digital technologies in manufacturing enables intelligent dynamic control approaches, at the cost of increased design complexity. In this paper, ontologies and delta-lenses are exploited to enable multi-scale models of a manufacturing system to map digital models at different scales and let data flow according to the level of fidelity. A workflow is designed to assess the capability of models with a lower level of details to approximate the behaviour of the original system, through the application of a hybrid delta-lens. The approach is illustrated with a user case and applied to an industrial case, aiming at deciding the positions of sensors in an assembly line.

Original languageEnglish
Pages (from-to)361-364
Number of pages4
JournalCIRP Annals
Issue number1
Early online date9 Jul 2021
Publication statusPublished - 9 Jul 2021


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