Decoding the Future of Work
Predictive maintenance
Predictive maintenance is a method of preventing asset failures by analyzing production data to identify patterns and predict problems before they occur.
As a result, implementing AI technologies to monitor asset health, optimize maintenance schedules and obtain real-time alerts on operational risks, enables manufacturers to reduce service costs, maximize uptime and improve production throughput.
Manufacturers and their customers get a range of business benefit from predictive maintenance:
- The automatic reports for strategic maintenance scheduling and proactive repairs reduce maintenance time
- Analytics-driven insights improve the overall equipment effectiveness by reducing unnecessary maintenance, extend asset life and enable root cause analysis of a system to uncover issues ahead of failure
- Predictive maintenance strengthens company branding and value to customers, differentiating their products from the competition and allowing them to provide continuous benefit in-market
Capability
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