Summary
This software is developed based on knowledge graph representation populated from several existing manufacturing knowledge such as FMEA and injection process adjustment protocols (IPAP). The populated knowledge graph provides several functionalities such as finding root causes of production failures through SPARQL query via graph database. The system also provides recommendations of machine parameter optimisation based on the cause of the failure.
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| Web resources: | https://www.teamingai-project.eu/exploitable-results |
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Even though state-of-the-art process orchestration tools are equipped with logging mechanisms, they do not come with semantically enhanced digital shadows of process knowledge. The aim to close this gap. The knowledge graphs representation not only provides semantic linking/integration of heterogeneous manufacturing knowledge (process, product, resources) but also supports reusability, extensibility, and interoperability.