A Case Study for a Digital Twin of Body-in-White Production Systems
International Conference on Emerging Technologies and Factory Automation (ETFA) 2018
Florian Biesinger, Dāvis Meike, Benedikt Kraß, michael weyrich

Increasing competition in the automotive industry makes cost-saving integration of more and more vehicle derivatives and variants such as sedans, coupes, cabriolets as well as electrical and combustion engine models into existing production systems necessary. At the same time, the production planners face a major challenge while integrating vehicle bodiesin- white. In contrast to the original concept and rough planning state, the automated production plants are continuously optimized during the detail planning phase as well as after the start of production as a result of improved processes and model upgrading. For fast integration of new vehicles, a current digital image of the real production plant ─ the so-called Digital Twin ─ is groundbreaking. This Digital Twin of a factory consists of a current bill of resources for cost calculation and a current layout planning state. The paper describes a concept for creating a Digital Twin of a body-in-white production system for the concept and rough planning projects. In the internal concept planning phase, planners do cost calculations and layouts for ordering factory suppliers. However, for integration planning, the original concept and rough planning project have to be updated. Therefore, a new concept has been developed which uses current information from the cyber-physical system and a current 3D scan to update the bill of resources and the layout planning on demand.


Atslēgas vārdi
digital twin, cyber-physical systems, concept planning, robotic simulation, 3D point cloud
DOI
10.1109/ETFA.2018.8502467
Hipersaite
https://ieeexplore.ieee.org/document/8502467

Biesinger, F., Meike, D., Kraß, B., weyrich, m. A Case Study for a Digital Twin of Body-in-White Production Systems. No: International Conference on Emerging Technologies and Factory Automation (ETFA), Itālija, Turin, 4.-7. septembris, 2018. Piscataway: IEEE, 2018, 1.-8.lpp. ISBN 978-1-5386-7109-2. e-ISBN 978-1-5386-7108-5. ISSN 1946-0740. e-ISSN 1946-0759. Pieejams: doi:10.1109/ETFA.2018.8502467

Publikācijas valoda
English (en)
RTU Zinātniskā bibliotēka.
E-pasts: uzzinas@rtu.lv; Tālr: +371 28399196