클라이언트: Siemens US
양식: 백서
크기: 292KB
언어: 영어
날짜: 10.10.2025
Global Automotive Manufacturer: Senseye Predictive Maintenance Increases OEE
From 4.7M vehicles to zero downtime: See how a global automotive giant saved millions with Senseye Predictive Maintenance. Cut costs, predict failures 6 months ahead, and achieve ROI in 90 days.
Discover how a leading global vehicle manufacturer revolutionized their maintenance operations across 20 countries. Facing the challenge of managing vast sensor data with limited skilled resources, they implemented Senseye Predictive Maintenance to achieve remarkable results:
Key Achievements:
Discover how a leading global vehicle manufacturer revolutionized their maintenance operations across 20 countries. Facing the challenge of managing vast sensor data with limited skilled resources, they implemented Senseye Predictive Maintenance to achieve remarkable results:
Key Achievements:
- Monitoring 10,000+ machines across 100 different types
- ROI in less than 3 months
- 6-month advance warning of potential failures
- Significant reduction in preventive maintenance costs
- Continuous OEE improvements
- 500+ active users optimizing maintenance
The solution enabled autonomous predictive maintenance scaling, empowering engineers to independently onboard new machines and integrate with enterprise systems. Perfect for manufacturers seeking to transform maintenance operations while maximizing production efficiency and reducing costs.
