Digital Manufacturing • DM-03
OEE / Asset Scoring
One honest number for equipment performance, built from data nobody can argue with.
Scope
What the engagement covers.
OEE reported from manual logs is usually optimistic and always late. Automated capture makes availability, performance and quality losses visible per shift, per line and per cause.
Included capabilities
- Automated availability, performance and quality data capture
- Loss tree analysis attributing every minute to a named cause
- Asset health scoring combining condition, performance and maintenance history
- Shift, line, product and crew comparison with drill-down
- Target setting and improvement tracking against a fixed baseline
Outputs and deliverables
- Loss taxonomy and OEE calculation standard
- Automated capture configuration per line
- Loss tree and Pareto reporting
- Improvement tracking against baseline
Workflow
How it is delivered, step by step.
Each step has an owner, an entry condition and an artefact that has to exist before the next step begins.
01DefineLoss taxonomy, ideal cycle times and quality counting rules.
02CaptureMachine signals, counters and downtime reason capture at source.
03AttributeEvery stoppage classified, with operator confirmation where needed.
04AnalyseLoss tree, Pareto and comparison across shift, line and product.
05ImproveTargeted actions with measured effect against the baseline.
Use cases
Where this is typically applied.
Multi-site groups needing comparable performance measures
Capacity decisions that hinge on whether losses are structural
Delivery model
The operating pattern for Digital Manufacturing.
The same delivery discipline applies across every capability in this line, so combined engagements stay coherent.
Baseline
Asset register, data availability, loss analysis and value case per line.
Connect
Sensors, gateways, historians, protocol translation and network coverage.
Model
Twins, failure models, OEE logic and analytics validated against real events.
Deploy
Operator and maintainer workflows, alerts, dashboards and situation centre.
Scale
Second line, second site, standard templates and capability transfer.
Integration
- MES, APS, ERP and CMMS so insight becomes a work order, not a dashboard.
- SCADA, historians and PLC layers via standard industrial protocols.
- Quality and laboratory systems for genealogy and root-cause analysis.
- Private LTE/5G or industrial Wi-Fi for coverage in electrically noisy plants.
Engagement approach
Deployment starts on one line or one asset class where losses are measurable, so the business case is proven on real production data before the site-wide rollout is committed.
Related
Other capabilities in Digital Manufacturing.
DM-01
AI Technical Monitoring
Catch equipment failure while it is still cheap to fix.
DM-02Digital Twin
A live model of the plant that answers questions before you commit to the change.
DM-04Situation Center
One room where production, maintenance, quality and energy are looked at together.
DM-05AI Maintenance Assistant
Put twenty years of maintenance knowledge in the technician’s hand.
DM-06Robot Fleet Management
Treat robots and AGVs as a managed fleet, not as isolated machines.
DM-07MES / APS / SCADA-HMI Integration
Make the execution layer, the planner and the control layer agree.
DM-08Private LTE/5G & Industrial Connectivity
Coverage that survives metal, movement and electrical noise.
DM-09Smart Workshop
Digitize the workplaces where most variability actually originates.
DM-10Industrial Safety
Detect the unsafe condition before it becomes the incident report.
DM-11Environmental & Energy Management
Attribute energy and emissions to the process that actually consumed them.