The consistent use of product and production-related data from Engineering to Production Planning through to Production means that companies today are being confronted with new challenges. The use of new industry 4.0 approaches means that the ability to use real-time data from Production in earlier processes in good time is now more important than ever.
The Production Lifecycle Information Management project group examines real business cases based on the processes used in companies and demonstrators. This means that different workflows can be used to create an overall picture of existing information and the additional information required. The project group is also examining the use of standards such as STEP, JT, Automation ML and OPC UA as well as proprietary data formats where appropriate.
It is planned that the AML model be instantiated and real corporate data be entered in order to verify and further develop the information model created. In addition, a survey was conducted with the aim of shedding light on the relevance of discontinuities in data flows in the information chain in industrial practice today. The results were published in the form of a recommendation.
The publication of the recommendation marked the end of the work performed by the Production Lifecycle Information Management project group. The participants want to continue working together with other prostep ivip members in the future production-oriented prostep ivip project group “Cloud based Production Collaboration“.
Dr. Nils Macke, ZF Friedrichshafen
Prof. Dr. Jochen Deuse, TU Dortmund
Tel.: +49 6151 9287 475
IPS, TU Dortmund
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