Cyber-Physical Systems in Future Maintenance
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TL;DR
This article addresses the application of cyber-physical systems in the future of maintenance strategies using smart algorithms with self-aware, self-predict, and self-configure capabilities to achieve resilient and autonomously optimized productivity and services.
Abstract
Rapid and correct decision-making in big data environment is one of the most important challenges that companies are facing in today's business world. But regardless of this significant requirement, lack of smart analytical tools has made several aspects of industry not ready to handle big data. As more intelligence is integrated in industrial products and manufacturing lines, smart algorithms with self-aware, self-predict, and self-configure capabilities can further transform manufacturing equipment, fleet management and production systems to achieve resilient and autonomously optimized productivity and services. This article addresses the application of cyber-physical systems in the future of maintenance strategies.