Metrics Implementation Roadmap
A four-phase approach to building your measurement programme
You cannot implement every metric at once, and you should not try. Each phase in this roadmap delivers measurable value before the next begins. There are no eighteen-month projects with no output until go-live.
Phase 1 alone is worth doing. Phase 2 pays back the investment of Phase 1. By Phase 3, you have a business case built on actual operational data rather than assumptions.
Good data on three metrics is more valuable than unreliable data on fifteen.
Phase 1: Foundation
Machine Data Only — "Are the machines running?"
Establish basic visibility using machine data alone. No ERP, no MES, no system integration of any kind. Prove value quickly with the simplest possible data sources.
Data Sources Required
- Machine state signals (running/stopped)
- Production counters
- Timestamps and alarm codes from PLC/control system
Value delivered: Real-time operational visibility. You know whether machines are running, at what rate, and what is stopping them. Supervisors stop guessing.
Move to Phase 2 when:
- ✓ Phase 1 metrics have been collecting reliably for 30+ days
- ✓ Data quality has been validated against manual measurements
- ✓ Operators understand and use the dashboards
- ✓ Baseline performance is understood — no significant data surprises
Phase 2: Performance Analysis
Machine Data + Configuration — "Where are the losses?"
Understand loss categories and quantify improvement opportunities. Still no system integration required — just Phase 1 machine data plus configured targets (ideal run rates, planned production time, stop classifications).
Metrics
Data Sources Required
- Phase 1 machine data
- Configured ideal run rates and ideal cycle times
- Planned production schedules
- Planned vs unplanned stop classification
- Good count tracking (for quality component)
Value delivered: OEE gives a single number capturing all three loss categories. Once you know where the losses are, you know where to focus. Benchmarking becomes possible.
Move to Phase 3 when:
- ✓ OEE components (Availability, Performance, Quality) are stable and understood
- ✓ Loss categories have been quantified and ranked
- ✓ At least one improvement cycle has been completed using Phase 2 data
- ✓ A business case exists for the ERP/MES integration that Phase 3 requires
Phase 3: Planning and Cost
+ ERP/MES Integration — "What does it cost? Are we meeting commitments?"
Connect operational performance to business outcomes. This is the most significant integration step — linking machine data to ERP (costs, orders, schedules) and MES (labour, routing, work orders).
Metrics
Data Sources Required
- Phase 1 + 2 machine data
- ERP: costs, orders, schedules, materials, fixed assets
- MES: labour hours, routing, work orders, work assignments
Value delivered: ROI quantification. Operational performance expressed in financial terms. Capital investment justification using actual data. Customer service metrics connecting factory performance to delivery reliability.
Move to Phase 4 when:
- ✓ ERP/MES integration is stable and data is flowing reliably
- ✓ Cost metrics have been validated against financial reporting
- ✓ Operational and financial metrics are aligned and cross-referenced
- ✓ Specific advanced areas have been identified as strategic priorities
Phase 4: Advanced and Specialised
+ CMMS, External Systems — "How do we optimise specific areas?"
Select metrics based on strategic focus areas. Not every organisation needs every Phase 4 metric — choose those that align with your business priorities.
Metrics
Data Sources Required
- Phase 1–3 data
- CMMS: maintenance schedules, work orders, costs (for maintenance metrics)
- Energy/water metering: sub-meters at equipment level (for environmental metrics)
- Safety systems: incident logs, near miss reports (for safety metrics)
Value delivered: Specialised optimisation, competitive differentiation, regulatory compliance, and sustainability reporting.
Phase 4: Choose by Strategic Focus
Phase 4 is not a single block of work. Select metrics based on your organisation's priorities — you may implement one focus area or several, in any order.
| Focus Area | Metrics | Additional Data Source |
|---|---|---|
| Maintenance excellence | PM Compliance, Maintenance Cost %, MTBF, MTTR | CMMS |
| Quality improvement | Scrap Rate, Rework Rate, RTY, Material Utilisation | MES / QMS |
| Sustainability | Energy per Unit, Carbon per Unit, Water per Unit | External metering |
| Safety leadership | Safety Incident Rate, Near Miss Rate | Safety system |
| Cost optimisation | Energy Cost per Unit, Maintenance Cost % | ERP + CMMS |
Guiding Principles
- 1. Start small. Prove value with two or three machines before scaling across the operation.
- 2. Build on success. Only add metrics when the current ones are stable and understood. Unreliable data on more metrics is worse than reliable data on fewer.
- 3. Align with goals. Choose metrics that support actual business objectives, not metrics that are easy to collect.
- 4. Train thoroughly. A metric nobody understands is a metric nobody uses. Ensure users know what it means and how to act on it.
- 5. Review regularly. Assess which metrics are driving decisions and which are being ignored. Drop or deprioritise the latter.