Towards model-based assembly system configuration supported by SysML and AutomationML

Citation
32nd International Conference on Flexible Automation and Intelligent Manufacturing (FAIM 2023)
Contribution to Conference
32nd International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2023  
Publisher DOI
10.1007/978-3-031-38241-3_70
Scopus ID
2-s2.0-85171570015
Publisher
Springer, Cham
ISSN
2195-4356
ISBN
9783031382406
9783031382413
The demands of product individualization and reduced development times are an increasing challenge for current product and production system engineering, as customization processes are still a mostly manual task involving different software tools and paperwork. Due to their manual nature, they are error-prone, leading to long lead times and costly rework. Thus, efficient co-customization of products and their production systems must be enabled by common data models and continuously linked software tools. Complex mechatronic products such as aircraft cabins are more and more likely to be developed via a model-based systems engineering (MBSE) approach using Systems Modeling Language (SysML). In assembly system design, model-based development often relies on AutomationML, a modeling and data exchange format for plant engineering information. To combine these concepts, an approach for assembly system configuration based on a SysML-representation of the product and an AutomationML-represantation of the plant is proposed. After the customer configures a unique product version, the corresponding SysML model will be analyzed by the outlined configuration algorithm to determine necessary changes to the assembly system. Based upon an AutomationML library with digital representations of the available assembly system components and their behavior, these logical and parametric changes will be implemented in the instantiated assembly system model. Using AutomationML, configuration can not only take place on the top-level logical model, but also on specific robot or PLC programs. These can be then used for simulations generating information about assemblability and assembly times, allowing improved design decisions once fed back to the product engineers.
Subjects
Model-Based Engineering
SysML
AutomationML
Assembly System Planning
Assembly System Reconfiguration
DDC Class
620: Engineering