Enterprise Manufacturing Analytics
Unlocks the next level of Digital Manufacturing by delivering advanced analytics for improved productivity, quality, and supply chain optimization.
The Value of Enterprise
Manufacturing Analytics
Enterprise
- Increase capacity utilization and output by identifying production issues and analyzing plant utilization across the supply chain in real-time
- Monitor regulatory info, birth certificate, track & trace by maintaining compressive and accurate information about products throughout the entire lifecycle
- Operationalize your Digital Manufacturing initiatives with tools for creating custom applications to transform your workflow
Plant
- Reduce scrap by analyzing process, part, and quality data to discover the root cause of complex plant problems
- Improve throughput by identifying bottlenecks and performance drivers impacting yield
- Drive continuous process improvement thru deeper insights into quality/product issues and WIP inventory levels to pinpoint the most impactful initiatives
Line
- Increase first-pass yield by capturing real-time first-pass yield statistics and immediately identifying variances that effect quality
- Control processes by setting parameters to strict tolerances and establishing alerts when a process is out-of-bounds
- Predict asset failures through the use of historical data, trends and manufacturing specific algorithms to proactively manage asset failures
EMA Application
Highlights
Advanced Global Ops View
The next level of insight delivered thru real-time visibility into parts, product, cycles, and machines with sophisticated analytics such as correlations and part/product traceability
Predictive Maintenance
Predict asset failure so that your organization can avoid costly downtime, reduce maintenance costs, and improve operational efficiency.
Productivity Application Suite
Turnkey analytic suite for improving OEE/throughput including the ability to analyze bottlenecks, downtime, and asset failures
Quality Application Suite
Out of the box applications to Improve first-pass yield, reduce scrap, and identify the root causes of quality issues
