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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.
|Number of pages||4|
|Early online date||9 Jul 2021|
|Publication status||Published - 9 Jul 2021|
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A semantic infrastructure for advanced manufacturing
25/06/18 → 24/06/21
ESPRC Centre for Innovative Manufacturing in Advanced Metrology
Jiang, J., Blunt, L., Longstaff, A., Towns-Andrews, L., Scott, P., Myers, A., Fletcher, S. & Ball, A.
1/09/11 → 28/02/17
Future Advanced Metrology Hub
Jiang, J., Martin, H., Longstaff, A., Kadirkamanathan, V., Turner, M. S., Keogh, P., Scott, P., McLeay, T. E., Blunt, L., Zeng, W., Huntley, J. M., Bills, P., Fletcher, S., Gao, F., Coupland, J. M., Kinnell, P., Mahfouf, M. & Mullineux, G.
1/10/16 → 30/09/23