Smart factory technologies, when combined with testing and simulation, quality and process control, and autonomous machines/robotics, can help automotive OEMs and suppliers increase efficiency, reduce costs, and create new revenue streams. Real-time streaming analytics enables anomaly detection for predictive quality and maintenance in manufacturing. Yet the actual deployment of smart factory and connected vehicles technologies is often hampered by the overwhelming amount of data that must be processed in real time while remaining available long-term for trend analysis. When real-time and long-term data analysis is extended to include production vehicles, predictive manufacturing quality can be enhanced. Vehicle maintenance and service alerts are also facilitated – improving customer loyalty while opening the door to new revenue streams such as extended warranties.
With growing factory modernization efforts, the ever increasing electronics content of each vehicle, and the introduction of 5G, a data explosion looms that will increasingly threaten the ability of manufacturers to collect, process, and manage the required data – especially in real time, which is critical to overall success and ROI.
This 30-minute Webinar addresses the key benefits and challenges of Smart Factory deployment. Topics include:
- The rise of streaming data analytics and current solutions, as well as new solutions making more effective streaming analytics possible, without the delay of batch processing
- Benefits of Smart Factory, including predictive quality and maintenance, in addition to new technologies that enable successful deployment
- How to create an effective, robust, and holistic data strategy to fully leverage the true potential of connected, autonomous mobility and realize a range of favorable outcomes that contribute to future-proofing your business
An audience Q&A follows the technical presentation.