Case Study: Manufacturing OEE Dashboards (35% Faster)
Case Study: Manufacturing OEE Dashboards (35% Faster)
Global manufacturer achieved 35% faster OEE reporting with real-time Power BI across 8 plants. $2.1M waste identified in Q1. Full case study.
A global manufacturer with 8 plants needed real-time OEE visibility. Legacy systems required end-of-shift reports and end-of-month consolidated views. In 12 weeks we delivered real-time dashboards that reduced OEE reporting by 35% and identified $2.1M in production waste in Q1.
The Challenge
Each plant had different MES, ERP, and reporting tools. No unified corporate view existed. Quality issues were discovered hours after starting. A previous Tableau attempt failed because it could not handle 50,000+ IoT data points per minute.
Our Approach
Microsoft Fabric unified data platform ingesting real-time IoT via Event Hubs, MES data via pipelines, and ERP via Direct Lake. Power BI dashboards in 3 tiers: executive (all 8 plants), plant manager (drill-down to lines), and shopfloor (15-second refresh). RLS ensured each plant saw only their data.
Results
| Metric | Before | After | Impact |
|---|---|---|---|
| OEE reporting lag | End of shift | Real-time | 35% faster decisions |
| Quality detection | Hours | Minutes | $2.1M waste found Q1 |
| Scrap rate | 4.2% | 2.8% | 33% reduction |
| Plants unified | 0 | 8 | 100% coverage |
| Adoption | N/A | 92% | Strong from day one |
The key decision was Direct Lake mode on Fabric instead of traditional import, eliminating scheduled refreshes on IoT data. For manufacturing analytics, contact us.
Frequently Asked Questions
Can Power BI handle real-time IoT data?
Yes, using Fabric Real-Time Intelligence with Event Hubs. We process 50,000+ data points per minute with sub-second dashboard refresh.
What is OEE and why does it matter?
OEE measures Availability x Performance x Quality. Power BI makes it visible in real-time, enabling managers to fix issues before they become costly — typically saving 1-3% in scrap reduction.