Cloud-based integration of robot engineering data using AutomationML

In the context of cross-disciplinary and cross-company cooperation, several challenges in developing manufacturing systems are revealed through industrial use cases. To tackle these challenges, two propositions are used in parallel. First, coupling technical models representing different content areas facilitates the detection of boundary crossing consequences, either by using a posteriori or a priori connection. Second, it is necessary to enrich these coupled technical models with team and organizational models as interventions focusing on the collaboration between individuals and teams within broader organizational conditions. Accordingly, a combined interdisciplinary approach is proposed. The feasibility and benefits of the approach is proven with an industrial use case. The use case shows that inconsistencies among teams can be identified by coupling engineering models and that an integrated organizational model can release the modelling process from communication barriers.

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Cloud-based integration of robot engineering data using AutomationML

Cited by 8 publications

References 3 publications

Towards Model-Based Assembly System Configuration Supported by SysML and AutomationML

Towards Model-Based Assembly System Configuration Supported by SysML and AutomationML

Konzept zu cyber-physischen Produktionssystemen für die energieeffiziente Komponentenproduktion

Interdisciplinary engineering of cyber-physical production systems: highlighting the benefits of a combined interdisciplinary modelling approach on the basis of an industrial case

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