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Item type:Publication, Access status: with files , Assembly system modeling with SysML and AutomationML for configuration and reconfigurationProduct individualization and the need to reduce lead times put increasing pressure on production system engineering. This includes the configuration of assembly systems regarding a new product variant. Therefore, model-based engineering is increasingly applied in development and configuration tasks. To combine the two popular practices of using SysML in product development and AutomationML in assembly system development, we propose to link both in an integrated modeling approach. It aims at a seamless assembly system configuration process building upon the capabilities of AutomationML for modeling and interconnecting products, processes, and resources, including their geometries, kinematics, and behaviors.Publicationtype: Conference Paper38 22 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Towards model-based assembly system configuration supported by SysML and AutomationMLThe 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.Publicationtype: Conference Paper109 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: with files , A holistic aircraft cabin metamodel as an approach towards an interconnected digitised cabin lifecycle(International Council of the Aeronautical Sciences, 2022-09); ; ; ; Advancing digitalisation, growing passenger needs and constantly changing requirements are leading to increased pressure on aircraft manufacturers. To address these challenges, the proposed holistic metamodel brings together all relevant product information in one central place to improve the product lifecycle and drive the coordination of all stakeholders.Publicationtype: Conference PaperScopus© Citations 3 234 485