Scalable Plant Wide Predictive Maintenance

Use Case by Senseye

Supported Industries: Manufacturing

Summary

Challenges

  • Visibility to true machine condition information is limited, forcing maintenance to work in a reactive capacity
  • 24% of manufacturing costs are attributed to unplanned downtime, with 90% of maintenance work categorized as “crisis work” during breakdowns.
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Transformation Results

  • Reduce maintenance costs by an average of 40%
  • Improve maintenance productivity by 55% and provide a 50% reduction in downtime
  • Improve downtime forecast accuracy by 85%.
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Value

  • Reduction of maintenance costs and optimized production uptime through predictive maintenance
  • Improved monitoring and visibility of production machinery condition and use
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