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Production systems are typically long-living, interdisciplinary systems which undergo continuous evolution. However, especially in the industry of the production automation, any formalized documentation of evolutionary changes is often neither created nor adapted to the application. Accordingly, no knowledge artefacts exist that can be automatically processed in order to support the evolution process...
Fast evolving requirements for the manufacturing sectors, which must now take much more into account problems such as product customization, markets volatility and shortening life cycles, imposes to focus the attention of innovation towards a new generation of automation systems based on the CPS paradigm. The work here presented therefore suggest a new extension of the Cyber-Physical Systems functionalities...
In production system engineering, the machine-understandable definition of relations between engineering information views is important to enable automating dependency checking between these views. Unfortunately, in automation engineering there is no standardized representation of relations and dependencies, which makes it difficult to automate consistency checking. In this paper we derive requirements...
We present work towards using ontological information to facilitate collaborative tasks during operation, maintenance and service of industrial automation facilities. We use semantic models as an additional layer for a collaboration framework to enable automatic reasoning, decision support and knowledge sharing among multiple parties. Documents such as texts, workflows, images, social media profiles...
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