The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Future Modeling and Simulation of CPS-based Factories: an Example from the Automotive Industry
Open accessAbstract
: Cyber-Physical Production Systems (CPPS) stand as a synonym for the future factory environment (also Smart Factory ) and are characterized by their scalable and modular structure. The CPPS-paradigm facilitates the integration, adaptation and replacement of production units, e.g. in case of scaling up or down the production capacity to satisfy unpredictable market demands or to respond flexibly to disruptions and failures. However, to reach the next generation of CPPS or Smart Factories, the concurrent combination of the physical world with its digital counterpart will be crucial. Given the fact that products are becoming even more complex and that the product life cycle decreases, the usage of simulation tools grow in importance for the optimization and acceleration of all phases of the production life-cycle. Simulation tools are intended to support (re-)engineering and decision-making processes, to evaluate the impact of external and internal changes and to react in a timely manner to critical influences on production management. This paper deals with upcoming challenges to exploit the full potential of modeling and simulation within Smart Factories . To address these challenges, an appropriate framework for modeling and simulation of CPS-based factories is presented. The framework is being applied in one of the most competitive, advanced and complex industrial sector, the automotive industry.
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Cites
About The Importance of Autonomy and Digital Twins for the Future of Manufacturing
Rosen, R., von Wichert, G., Lo, G., & Bettenhausen, K. D. (2015) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2015.06.141 · Cited by 1,474
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Digital Twin in Industry: State-of-the-Art
Tao, F., Zhang, H., Liu, A., & Nee, A. Y. C. (2019) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2018.2873186 · Cited by 4,391
Digital Twin in manufacturing: A categorical literature review and classification
Kritzinger, W., Karner, M., Traar, G., Henjes, J., & Sihn, W. (2018) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2018.08.474 · Cited by 3,612
“…al. (2017b) concept undefined PPC AutomationML, XML, CPS, PLC, OPC-UA, MQTT, MTConnect Vachálek et al. (2017) case-study DS PPC Plant Simulation, OPC-UA Weyer et al. (2016) concept DS PPC simulation, CPS, SOA Yang et al. (2016) concept DS PPC simulation, optimization Zhang et al. (2017) concept…”
BackgroundCharacterising the Digital Twin: A systematic literature review
Jones, D., Snider, C., Nassehi, A., Yon, J., & Hicks, B. (2020) · CIRP Journal of Manufacturing Science and Technology · doi:10.1016/j.cirpj.2020.02.002 · Cited by 2,422
Ding, K., Chan, F. T. S., Zhang, X., Zhou, G., & Zhang, F. (2019) · International Journal of Production Research · doi:10.1080/00207543.2019.1566661 · Cited by 456
Lean 4.0—A conceptual conjunction of lean management and Industry 4.0
Mayr, A., Weigelt, M., Kühl, A., Grimm, S., Erll, A., Potzel, M., & Franke, J. (2018) · Procedia CIRP · doi:10.1016/j.procir.2018.03.292 · Cited by 333
Metadata
- Authors
- Weyer, S., Meyer, T., Ohmer, M., Gorecky, D., & Zühlke, D.
- Venue
- IFAC-PapersOnLine
- Publisher
- Elsevier BV
- Published
- 2016
- Volume
- 49
- Issue
- 31
- Pages
- 97-102
- ISSN
- 2405-8963 (ISSN-L)
- OpenAlex
- W2589993827
- Cited by
- 244
- References
- 1
- FWCI
- 18.59
- Type
- journal article
- Language
- en
- Open access
- diamond
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- Weyer, S., Meyer, T., Ohmer, M., Gorecky, D., & Zühlke, D. (2016). Future Modeling and Simulation of CPS-based Factories: an Example from the Automotive Industry. IFAC-PapersOnLine. https://doi.org/10.1016/j.ifacol.2016.12.168
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