OEE — Overall Equipment Effectiveness
Measure and maximise the productive output of your manufacturing assets with OEE — the gold-standard KPI for identifying and eliminating the six big losses in production.
Measure Effectiveness. Eliminate Production Losses.
OEE (Overall Equipment Effectiveness) is the gold-standard manufacturing KPI for measuring how effectively production equipment is being utilised. It combines three critical performance dimensions — Availability, Performance, and Quality — into a single percentage that reveals how much of planned production time is genuinely productive. An OEE of 85% is considered world-class; most manufacturing plants start at 40–60%, meaning they are losing more than half their potential productive capacity to the six big losses: breakdowns, setups, small stops, reduced speed, start-up rejects, and production rejects.
At Q’mArk Group, we implement structured OEE measurement programmes that give your production team real-time visibility into equipment performance, identify the specific losses consuming your capacity, and drive targeted improvement initiatives that deliver measurable increases in output without capital investment. OEE improvement is one of the highest-ROI activities available to manufacturing organisations — and Q’mArk’s systematic approach ensures your OEE programme delivers lasting results.
OEE Formula
OEE = Availability (%) × Performance (%) × Quality (%)
Availability = Operating Time ÷ Planned Production Time × 100
Performance = (Ideal Cycle Time × Units Produced) ÷ Operating Time × 100
Quality = Good Units ÷ Total Units Produced × 100
Availability Analysis & Downtime Reduction
We measure and analyse your Availability losses — planned and unplanned downtime, changeover time, and minor stoppages — identifying the highest-impact downtime causes and implementing targeted actions such as SMED (quick changeover), predictive maintenance, and autonomous maintenance to maximise machine uptime.
Performance Analysis & Speed Loss Elimination
We measure your Performance losses — reduced speed, minor stoppages, and idling — and identify the process, machine, or operator factors causing your equipment to run below its ideal cycle time, implementing targeted improvements to close the gap between actual and theoretical output.
Quality Rate Improvement
We analyse your Quality losses — startup rejects, production rejects, and rework — using defect data, SPC analysis, and Poka-Yoke principles to identify and eliminate the process instabilities and quality failure modes that are reducing your productive output.
OEE Dashboard & Visual Management
We design and implement OEE data collection systems, real-time production boards, and management dashboards that give operators, supervisors, and management instant visibility into current equipment effectiveness — enabling rapid response to performance deviations during each shift.
Our Engagement Roadmap
OEE Baseline Measurement
We implement structured OEE data collection across your target production lines — capturing downtime events, production counts, cycle times, and defect quantities — and calculate your baseline OEE broken down by Availability, Performance, and Quality losses.
Loss Analysis & Prioritisation
We analyse your OEE loss data using Pareto charts and stratification by shift, operator, product, and failure mode — identifying the specific losses driving the biggest OEE gaps and prioritising improvement actions by financial impact and implementation feasibility.
Improvement Programme Deployment
We deploy targeted improvement programmes addressing your highest-priority OEE losses — SMED for setup time reduction, TPM for equipment reliability, SPC for quality control, and standard work for operator consistency — with clear targets, timelines, and responsibilities.
Sustained OEE Management
We establish daily OEE review meetings, shift handover processes, and management review cadences that embed OEE management into your daily production rhythm — sustaining improvement gains and driving the organisation toward world-class 85%+ OEE performance.