Cyber-Physical Production Systems (CPPS): Introduction
- Engelmann et al. [1] presented a technical CPPS setup that aims at supporting the operation of production machines—more transparency is achieved here through an automated state recognition with machine learning as a base for OEE (overall equipment effectiveness) calculation.
- Hürkamp et al. [2] used a combined approach of FEM (finite element method) simulation and machine learning to establish a process related CPPS that allows for the inline prediction of product properties. This was developed and demonstrated for the case of an overmolding process in composite structure manufacturing.
- Makris et al. [3] focused on robots and suggested an agent-based system setup toward the configuration and coordination of robot cells. While using real time data, this approach not only supports the planning, but also the operation phase in robot-based manufacturing processes.
- Blume et al. [4] brought CPPS into the domain of technical building services with the example of manufacturing related cooling towers. A data-based approach was used here to identify the main influencing factors for cooling tower performance as the base for advanced control.
- Filz et al. [5] introduced the CPPS concept of virtual quality gates that allow for the data-based prediction of product quality properties as not only the basis for improved planning and operation of production processes, but also process chains. Based on an overall framework with different design options, several case studies were shown to demonstrate applicability and potential.
- Farsi et al. [6] focused on an implementation framework and feasibility study for introducing RFID (radio-frequency identification) and connected digital models into process chains. A multi-agent simulation with predictive capabilities was used to support the planning and potentially also the operation of these setups.
- Sobottka et al. [7] presented a simulation-based approach that allows for an energy aware scheduling of heat treatment furnaces in a casting company. While using data from the company’s enterprise resource planning (ERP) and manufacturing execution system (MES), an optimized planning of operations was enabled, which led to improved environmental and economic performance.
- Dornhöfer et al. [8] used multi-agent simulation to improve the planning and potentially, when being combined with the most current data from real production, the operation of manufacturing systems.
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Thiede, S. Cyber-Physical Production Systems (CPPS): Introduction. J. Manuf. Mater. Process. 2021, 5, 24. https://doi.org/10.3390/jmmp5010024
Thiede S. Cyber-Physical Production Systems (CPPS): Introduction. Journal of Manufacturing and Materials Processing. 2021; 5(1):24. https://doi.org/10.3390/jmmp5010024
Chicago/Turabian StyleThiede, Sebastian. 2021. "Cyber-Physical Production Systems (CPPS): Introduction" Journal of Manufacturing and Materials Processing 5, no. 1: 24. https://doi.org/10.3390/jmmp5010024