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M. Rathmair, C. Luckeneder, M. Meisel, S. Wilker:
"In-Field Simulation for Process Tuning in Industry 4.0 Applications";
Vortrag: Vienna Young Scientists Symposium (VSS), Wien; 07.06.2018 - 08.06.2018; in: "Vienna young Scientists Symposium 2018", P. Hans, G. Artner, J. Grames, H. Krebs, H. Mansouri Khosravi, T. Rouhi (Hrg.); Book-of-Abstracts.com, TU Wien, Wien (2018), ISBN: 978-3-9504017-8-3; S. 66 - 67.

Modeling and simulation approaches are well embedded into today´s development flows for indus- try 4.0 applications. Model-based design, virtual prototypes, and virtual commissioning enable cost- efficient verification and optimization during the design phase. Unfortunately, in many cases, the use of simulation processes ends as soon as a design is deployed to production. The approach of the presented work is to migrate simulations to the operation phase of a production process. Therefore, so-called in-field simulation methods, monitor the current process state and simulate its behavior for a limited future time period. The simulation results are then used for analysis and subsequent tuning of parameters with the goal to optimize the production process under a specific objective (e.g., efficiency, throughput). This described in-field simulation procedure has even more impact if besides classical functional simulation potentially occurring uncertainties are considered. For example, in industry 4.0 applications such uncertainties can be unpredictable changes in environmental conditions (tempera- ture, humidity, etc.), reduced availability of controllers caused by variations of QoS parameters in communication channels, variations in the performance of electronic components, etc.

In-Field Simulation, Industry 4.0, Smart Factory

https://publik.tuwien.ac.at/files/publik_275901.pdf