Manufacturing generates more data per day than almost any other industry, yet most manufacturers still rely on manual reports, spreadsheets, and gut instinct for critical production decisions. EPC Group's Manufacturing Analytics Accelerator transforms this data into real-time visibility across OEE, supply chain, quality, and production performance in just 4 weeks.
10 Pre-Built Manufacturing Dashboards
Executive Manufacturing Summary
LeadershipCross-plant KPIs, OEE trending, revenue per unit, cost optimization
OEE Dashboard
ProductionAvailability, performance, quality by line/shift/product with loss categorization
Production Planning
PlanningSchedule adherence, capacity utilization, WIP tracking, bottleneck identification
Quality Management
QualityFirst-pass yield, scrap rates, CAPA tracking, SPC charts, defect Pareto
Supply Chain Visibility
Supply ChainInventory levels, days of supply, stock-out risk, supplier on-time delivery
Maintenance Analytics
MaintenanceMTBF, MTTR, PM compliance, work order backlog, spare parts inventory
Energy & Sustainability
SustainabilityEnergy consumption per unit, carbon footprint, waste reduction, water usage
Workforce Productivity
HRLabor efficiency, overtime trends, skill matrix, safety incidents, attendance
Supplier Performance
ProcurementQuality PPM, delivery performance, cost trends, risk scoring
Cost Analytics
FinanceCost per unit, variance analysis, material yield, overhead allocation
OEE Analytics Deep Dive
Availability
Run Time / Planned Production Time
Tracks: Breakdowns, changeovers, material shortages
Performance
Actual Output / Theoretical Maximum
Tracks: Speed losses, minor stops, idling
Quality
Good Units / Total Units Produced
Tracks: Scrap, rework, startup rejects
OEE = Availability x Performance x Quality
World-class target: 85% | Average manufacturing: 60% | EPC Group clients average: 75% after 6 months
System Integration Architecture
| System Type | Supported Platforms | Integration Method |
|---|---|---|
| ERP | SAP S/4HANA, Oracle, Dynamics 365, Infor | Azure Data Factory batch ETL |
| MES/MOM | Siemens Opcenter, Rockwell, AVEVA, Plex | API + Azure Event Hubs streaming |
| SCADA/IoT | AVEVA PI, Azure IoT Hub, Ignition | Near-real-time streaming |
| Quality | ETQ, MasterControl, TrackWise | API/database connection |
| CMMS | Maximo, SAP PM, Fiix, UpKeep | API + scheduled batch |
Investment & Pricing
Single Plant
$60,000
- All 10 dashboards
- ERP + MES integration
- 4-week deployment
- 30-day support
Multi-Plant (2-10)
$120,000
- All dashboards + benchmarking
- Cross-plant data model
- 6-week deployment
- 60-day support
Enterprise (10+)
$200,000+
- Full suite + AI/ML
- Global deployment
- 8-12 week deployment
- Managed services option
Frequently Asked Questions
What is OEE and how does the Manufacturing Accelerator track it?
OEE (Overall Equipment Effectiveness) is the gold standard KPI for manufacturing productivity, calculated as Availability x Performance x Quality. The Manufacturing Analytics Accelerator tracks OEE in near-real-time by integrating with your MES/SCADA systems to capture: Availability (uptime vs. planned production time, tracking planned and unplanned downtime by category), Performance (actual throughput vs. theoretical maximum, identifying speed losses), and Quality (first-pass yield, scrap rates, rework percentages). The dashboard provides OEE trending by line, shift, product, and plant with drill-through to root cause analysis. Most manufacturing clients see 5-15% OEE improvement within 6 months simply from visibility into losses.
Can the Manufacturing Accelerator integrate with ERP and MES systems?
Yes, the Manufacturing Analytics Accelerator includes pre-built connectors for major manufacturing systems: ERP systems (SAP S/4HANA, Oracle Cloud Manufacturing, Microsoft Dynamics 365 Supply Chain, Infor CloudSuite Industrial), MES/MOM systems (Siemens Opcenter, Rockwell FactoryTalk, AVEVA, Plex), SCADA/IoT platforms (OSIsoft PI (AVEVA PI), Azure IoT Hub, Ignition, Kepware), and Quality systems (ETQ, MasterControl, Sparta Systems TrackWise). Data integration typically uses Azure Data Factory for batch loads from ERP and near-real-time streaming from MES/SCADA via Azure Event Hubs.
What supply chain analytics are included?
The supply chain analytics module includes: Inventory Optimization dashboards showing days of supply, carrying costs, dead stock identification, and ABC/XYZ classification; Supplier Performance scorecards tracking on-time delivery, quality PPM, lead time variability, and cost trends; Demand Forecasting with statistical models comparing forecast accuracy against actuals; Logistics Analytics covering freight costs, carrier performance, and delivery time analysis; and Supply Risk monitoring with single-source alerts, geographic concentration risk, and supplier financial health indicators. All supply chain dashboards support drill-through from summary to detail level.
How does the accelerator handle multi-plant environments?
The Manufacturing Analytics Accelerator is designed for multi-plant environments from the ground up. Features include: a standardized data model that normalizes metrics across plants using different systems, plant comparison dashboards that benchmark performance across facilities, consolidated executive views that roll up all plants into a single view while enabling drill-through to individual plant details, network optimization analytics showing cross-plant capacity utilization and load balancing opportunities, and configurable organizational hierarchies (enterprise > region > plant > line > cell). EPC Group has deployed the accelerator across manufacturers with 2 to 50+ plants globally.
What is the investment for the Manufacturing Analytics Accelerator?
The Manufacturing Analytics Accelerator pricing: Single Plant deployment at $60,000 fixed fee includes all 10 dashboards, ERP + MES integration, and 4-week deployment. Multi-Plant (2-10 plants) at $120,000 includes cross-plant benchmarking, standardized data model across systems, and 6-week deployment. Enterprise (10+ plants) at $200,000+ includes global deployment, advanced AI/ML predictive models, and 8-12 week deployment. All tiers include training for plant managers, operations leads, and executives plus 30-60 day post-deployment support. Managed services available from $5,000/month for ongoing support and optimization.
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About Errin O'Connor
Chief AI Architect & CEO, EPC Group
Errin O'Connor brings 25+ years of enterprise analytics expertise to manufacturing, having deployed analytics solutions for discrete and process manufacturers from single-plant operations to global Fortune 500 industrial companies with 50+ facilities worldwide.