%0 Conference Paper %1 biesinger2018digital %A Biesinger, Florian %A Meike, Davis %A Kraß, Benedikt %A Weyrich, Michael %B 12th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2018; Procedia CIRP volume, CIRP ICME’18 proceedings %D 2018 %K 2018digitalerzwilling ias %T A Digital Twin for the Production Planning based on Cyber-Physical Systems %U https://opencms.uni-stuttgart.de/fak5/ias/dokumente/publikationen/2018_A_digital_twin_for_production_planning_based_on_cyber-physical_systems-2.pdf %X The increasing change of production leads to differences between the current shop floor and the state of planning. This difference causes significant challenges for production planners while integrating new products into existing production systems. To tackle this issue, this paper presents a concept for the automated creation of a digital twin of a body-in-white production system based on current resources, products as well as process information from the cyber-physical system. The paper focuses on the different data sources and information in cyber-physical systems necessary for integration planning. Furthermore, major parts of the concept are evaluated in a real body-in-white production system. The resulting digital twin enables faster product integration and Industry 4.0 concepts.

@inproceedings{biesinger2018digital, abstract = {The increasing change of production leads to differences between the current shop floor and the state of planning. This difference causes significant challenges for production planners while integrating new products into existing production systems. To tackle this issue, this paper presents a concept for the automated creation of a digital twin of a body-in-white production system based on current resources, products as well as process information from the cyber-physical system. The paper focuses on the different data sources and information in cyber-physical systems necessary for integration planning. Furthermore, major parts of the concept are evaluated in a real body-in-white production system. The resulting digital twin enables faster product integration and Industry 4.0 concepts.}, added-at = {2020-04-20T12:30:45.000+0200}, author = {Biesinger, Florian and Meike, Davis and Kraß, Benedikt and Weyrich, Michael}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/25c088c38e5c8092bcb49582636f80ed3/taylansngerli}, booktitle = {12th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2018; Procedia CIRP volume, CIRP ICME’18 proceedings}, interhash = {4fac55d7affc761a27562d606057e484}, intrahash = {5c088c38e5c8092bcb49582636f80ed3}, keywords = {2018digitalerzwilling ias}, month = dec, timestamp = {2020-11-16T12:41:02.000+0100}, title = {A Digital Twin for the Production Planning based on Cyber-Physical Systems}, url = {https://opencms.uni-stuttgart.de/fak5/ias/dokumente/publikationen/2018_A_digital_twin_for_production_planning_based_on_cyber-physical_systems-2.pdf}, year = 2018 }