
ei³ Downtime: Measure to Improve
Transform manufacturing performance by applying Digital Six Sigma to reduce equipment downtime.
Our practical guide shows you how to implement automated downtime tracking and analysis to increase equipment efficiency, save costs, and drive customer satisfaction.
Our downtime tracking approach helps you:
- Identify and fix the most impactful failures
- Optimize scheduled maintenance activities
- Share best practices across lines and plants
- Quantify losses due to production downtime
In this guide, you will discover:
Automated downtime detection
How to implement reliable, automated tracking systems that eliminate the inaccuracies and limitations of manual downtime reporting methods.
Pareto analysis techniques
Powerful analytical approaches that separate the "vital few" from the "trivial many" causes of downtime, allowing you to focus improvement efforts where they matter most.
Real-world success stories
Detailed case studies showing how manufacturers achieved 5-15% reductions in downtime by implementing automated tracking and systematic analysis techniques.
Essential IIoT Components
Explore the key components that make digital transformation possible, from secure connectivity to advanced analytics
Kickstart your IIoT journey
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