%0 Conference Paper %1 10275580 %A Fur, Shan %A Ajdinovic, Samed %A Lechler, Armin %A Verl, Alexander %B 2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA) %D 2023 %K cps digitaltwins isw myown simulation virtualcommissioning %P 1-4 %R 10.1109/ETFA54631.2023.10275580 %T Towards an Implementation of Simulation Based Digital Twins in Cyber-Physical Production Systems Environments %X The increasing digitization of the manufacturing industry offers a wide range of opportunities for the effective use of production data, which can lead to significant time and cost savings. One promising approach is the use of synchronous simulations during the actual operation of cyber-physical production systems (CPPS) to provide valuable insights into possible performance improvements and at the same time reduce the risk of costly downtime. This paper presents a novel concept that enables structured storage of CPPS production data as part of a digital twin that serves as a virtual replica of the physical production environment. In particular, this approach is based on the Asset Administration Shell (AAS), which provides a comprehensive framework for the management of production data and allows for a seamless integration with simulation models. Storing production data in a structured and standardized format can make data queries efficient, facilitate data processing, and provide a solid foundation for simulation model development, calibration, and validation. These simulation models can then be used to identify potential process improvements and test different scenarios, minimizing the risk of disruption to actual production.

@inproceedings{10275580, abstract = {The increasing digitization of the manufacturing industry offers a wide range of opportunities for the effective use of production data, which can lead to significant time and cost savings. One promising approach is the use of synchronous simulations during the actual operation of cyber-physical production systems (CPPS) to provide valuable insights into possible performance improvements and at the same time reduce the risk of costly downtime. This paper presents a novel concept that enables structured storage of CPPS production data as part of a digital twin that serves as a virtual replica of the physical production environment. In particular, this approach is based on the Asset Administration Shell (AAS), which provides a comprehensive framework for the management of production data and allows for a seamless integration with simulation models. Storing production data in a structured and standardized format can make data queries efficient, facilitate data processing, and provide a solid foundation for simulation model development, calibration, and validation. These simulation models can then be used to identify potential process improvements and test different scenarios, minimizing the risk of disruption to actual production.}, added-at = {2023-10-16T14:05:54.000+0200}, author = {Fur, Shan and Ajdinovic, Samed and Lechler, Armin and Verl, Alexander}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/24de537c6fb8f24ce5c86fc97e23c09bd/isw-bibliothek}, booktitle = {2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA)}, doi = {10.1109/ETFA54631.2023.10275580}, interhash = {af69bee7614f8b0d9be6980668dfe2f6}, intrahash = {4de537c6fb8f24ce5c86fc97e23c09bd}, issn = {1946-0759}, keywords = {cps digitaltwins isw myown simulation virtualcommissioning}, month = {Sep.}, pages = {1-4}, timestamp = {2023-12-14T11:11:58.000+0100}, title = {Towards an Implementation of Simulation Based Digital Twins in Cyber-Physical Production Systems Environments}, year = 2023 }