Operations & Maintenance · Performance Analytics

OEE is a symptom.
Reliability is the cure.

Overall Equipment Effectiveness measures the result. Optimal's OEE programmes work backwards from your losses — identifying the failure modes, maintenance gaps and operational practices that are compressing availability, performance and quality, then eliminating them through structured reliability intervention.

85%
World-class OEE benchmark for discrete manufacturing — the target Optimal programmes are structured to approach
60–70%
Typical OEE in facilities without structured reliability programmes — the gap that represents recoverable value
3 sources
Every OEE loss traces to Availability, Performance or Quality — each with distinct reliability and maintenance root causes
The OEE Framework

Three factors.
One productivity measure.

OEE is the product of three independently measured factors. Each factor has distinct failure drivers. Understanding which factor is compressing your OEE — and why — determines where reliability intervention delivers the highest return.

A
Availability
Planned production time minus unplanned downtime. Lost to breakdowns, changeover overruns and equipment waiting. The maintenance reliability factor.
P
Performance
Actual output versus theoretical maximum speed. Lost to minor stoppages, reduced speed running and idling. Often masked by operators compensating for poor equipment condition.
Q
Quality
Good units as a proportion of total units produced. Lost to defects, rework and startup rejects. Equipment condition and process stability are primary drivers.

Most OEE improvement programmes focus on measurement. Optimal focuses on the reliability and maintenance interventions that change the numbers — because an OEE dashboard that doesn't trigger a structured response to its findings is an expensive reporting exercise.

Loss Analysis

The six big losses —
and what drives each one.

Optimal's OEE loss analysis maps each category to its underlying reliability, maintenance and operational root causes — creating a prioritised improvement plan rather than a ranked list of symptoms.

Loss 01 · Availability
Unplanned Breakdowns
Equipment failure during planned production time. Primary target for RCM-based maintenance strategy and condition monitoring. The highest-impact loss category in process and discrete manufacturing.
Loss 02 · Availability
Setup & Adjustment Losses
Time lost during changeovers, startups and adjustment periods. Often underreported. Addressed through SMED methodology, standardised procedures and equipment condition management.
Loss 03 · Performance
Minor Stoppages & Idling
Short stops of under five minutes that individually appear trivial but collectively destroy throughput. Frequently caused by poor equipment condition, sensor faults or material handling issues masked by operator intervention.
Loss 04 · Performance
Reduced Speed Running
Equipment running below design speed — the silent OEE killer. Often normalised by operators over time. Caused by mechanical wear, process instability or calibration drift. Recoverable through condition-based maintenance.
Loss 05 · Quality
Process Defects & Rework
Quality losses during steady-state production. Equipment condition, process capability and material variability are primary drivers. Addressed at the intersection of reliability engineering and quality management.
Loss 06 · Quality
Startup Rejects
Quality losses during startup and changeover periods — directly linked to equipment condition at the point of startup and the maturity of standardised startup procedures. Reduced through condition monitoring and operator standards.
Optimal's Methodology

From OEE measurement
to structured reliability improvement.

Optimal's OEE programme is structured as a five-stage process — from establishing a credible measurement baseline through to embedding the reliability and maintenance interventions that permanently shift OEE performance. Each stage produces tangible outputs, not just analysis.

01
OEE Measurement Baseline
Establish a credible, consistent OEE measurement methodology — data sources, definitions, collection points and reporting cadence. Identify where current OEE measurement is inflated, inconsistent or missing entirely.
02
Loss Waterfall Analysis
Quantify each of the six loss categories by line, asset and shift. Produce a loss waterfall showing where OEE is being consumed and the financial value of each loss category at your production rate.
03
Root Cause & Failure Mode Analysis
Work through the highest-impact loss categories with your engineering and maintenance teams — identifying the failure modes, maintenance gaps and operational practices driving each loss. FMEA and RCA methodology applied.
04
Reliability Intervention Programme
Develop and implement the maintenance strategy changes, condition monitoring programme and operational standard updates that address root causes directly. Prioritised by OEE impact and implementation effort.
05
Performance Tracking & Governance
Establish the reporting cadence, KPIs and governance structure that sustains OEE improvement — linking production performance data to reliability decisions on a continuous basis through the ARaaS® framework.
Programme Deliverables

What an Optimal OEE
engagement produces.

OEE Measurement Framework
Standardised OEE definitions, data collection methodology and calculation workbook — ensuring consistent measurement across shifts, lines and sites. Includes data source mapping and gap identification.
Loss Waterfall Report
Quantified breakdown of OEE losses by category and asset — ranked by production impact and financial value. The prioritisation tool for all subsequent reliability investment decisions.
Root Cause Analysis Register
Structured failure mode and root cause analysis for the top five to ten OEE loss contributors — with validated root causes and recommended corrective actions tied to each finding.
Reliability Improvement Plan
Prioritised action plan covering maintenance strategy changes, condition monitoring additions, spare parts recommendations and operator standard updates — sequenced by OEE impact and implementation timeline.
OEE Performance Dashboard
Production performance reporting template connecting OEE data to reliability decisions — designed for daily operations review and weekly engineering governance. Integrates with your existing CMMS and historian.
OPI Scorecard & KPI Framework
Operational Performance Indicators aligned to your strategic production targets — MTBF, MTTR, planned maintenance compliance, schedule adherence and first-pass quality — with baseline values and improvement targets established.
Case Study
Global Pharmaceutical Manufacturer — Critical Care Division
South Africa · Pharmaceutical · OEE & Digital Monitoring
Full case study

A leading South African pharmaceutical manufacturer producing critical care products engaged Optimal to implement real-time OEE monitoring across its primary packaging and manufacturing lines. Production losses were tracked manually with significant lag — by the time weekly OEE reports reached engineering, the conditions driving losses had already changed. The programme deployed Optimal360™ as the production data layer, integrating with existing SCADA and CMMS to produce real-time OEE by line, shift and asset.

Real-time
OEE visibility replacing weekly manual reporting — decisions made at shift level
Top 5
OEE loss contributors identified and ranked within the first month of data collection
RCM-linked
Maintenance strategy updates tied directly to validated OEE loss root causes
Related Services

Services that work
alongside OEE programmes.

Asset Maintenance Strategy
The maintenance strategy that determines what failure modes are addressed, how, and at what frequency — the primary lever for improving Availability in the OEE formula.
Learn more
Root Cause Analysis (RCA)
Structured investigation of the failure events driving your highest Availability losses — producing validated root causes and corrective actions that prevent recurrence rather than just restoring operation.
Learn more
Predictive & Prescriptive Maintenance
Condition monitoring and analytics capability that detects the developing failures before they consume Availability — moving from reactive response to proactive intervention.
Learn more

Ready to move beyond OEE reporting?

Optimal's OEE programmes are structured for asset-intensive manufacturers where production performance is directly tied to maintenance and reliability practice. Start with a discovery conversation — we will map your current OEE position and identify the reliability interventions with the highest impact on your specific loss profile.

Start the conversation
Menu
Practice Areas
Operational Readiness Operations & Maintenance Digital Engineering Advisory & Optimisation Asset Accounting & Governance
Specialist Industries
Pharma & Life Sciences Chemical & Process
Our Differentiators
ARaaS® Framework Optimal360™ View All Services →
Oil & Gas Mining & Metals Nuclear Power & Utilities Pharma & Life Sciences Chemical & Process FMCG All Industries →
About Optimal Case Studies GARPI™ Survey Optimal Academy Insights Contact Us
GARPI™ SURVEY CONTACT US