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

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

doi:10.1016/j.cirp.2021.04.047

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 journal › Article › peer-review

9 Citations (Scopus)

Abstract

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 language	English
Pages (from-to)	361-364
Number of pages	4
Journal	CIRP Annals
Volume	70
Issue number	1
Early online date	9 Jul 2021
DOIs	https://doi.org/10.1016/j.cirp.2021.04.047
Publication status	Published - 9 Jul 2021

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This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.cirp.2021.04.047Licence: CC BY

Cite this

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abstract = "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.",

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doi = "10.1016/j.cirp.2021.04.047",

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AU - Jiang, Xiangqian

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N2 - 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.

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

Abstract

UN SDGs

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A semantic infrastructure for advanced manufacturing

ESPRC Centre for Innovative Manufacturing in Advanced Metrology

Future Advanced Metrology Hub

Cite this

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

Abstract

UN SDGs

Access to Document

Other files and links

Fingerprint

Projects

A semantic infrastructure for advanced manufacturing

ESPRC Centre for Innovative Manufacturing in Advanced Metrology

Future Advanced Metrology Hub

Cite this