Modularity, adaptability and integration of new technologies like Human-Robot Cooperation (HRC) help in facing the major challenges posed by the increased product variants with shortened life cycles and fluctuating market conditions of the automotive industry. However, utilizing them requires strong software support and complicates the already demanding planning and implementation of an assembly system. The strong dependency on software creates a new void in the planning and implementation processes. Usually, the programmer, not the process owner, fills this void based on his knowledge. This results in frequent and resource-intensive adaptations during commissioning due to implicit knowledge and requirements during the development process. This paper presents a lean approach for implementing an adaptable assembly system. Our approach combines an abstract process description, a virtual model of assembly system and a standardized control system which enables the realization of an assembly system. Our modeling technique helps a process owner to develop robust assembly systems. Also, it enables the design of a process and supports in obtaining the corresponding boilerplate code needed to execute the process on standard hardware utilized by the industry. This is demonstrated and tested by means of a HRC underbody assembly process in vehicle assembly under realistic conditions in a demonstrator factory.


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    Titel :

    Generic and Scalable Modeling Technique for Automated Processes


    Weitere Titelangaben:

    ARENA2036


    Beteiligte:
    Weißgraeber, Philipp (Herausgeber:in) / Heieck, Frieder (Herausgeber:in) / Ackermann, Clemens (Herausgeber:in) / Karkowski, Martin (Autor:in) / Müller, Rainer (Autor:in) / Scholer, Matthias (Autor:in)


    Erscheinungsdatum :

    2021-06-02


    Format / Umfang :

    8 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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