Challenge:
A manufacturing company experiences frequent production downtime due to unexpected equipment failures, impacting productivity and profitability.
Solution:
Implementation of a predictive maintenance system using machine learning algorithms to analyse equipment performance data. Set up alerts to notify operators before potential failures occurred.
Outcome:
- Reduced downtime.
- Lowered maintenance costs through proactive repairs.
- Increased production output.
- Enhanced decision-making with real-time performance insights.
