The costs of poor quality: our complete guide (with a free template to download)
Master the cost of poor quality: methods, tools and concrete actions to reduce losses and increase your profitability quickly.
Does the concept of cost of non-quality mean anything to you? 😐
Every part to be remade, every product returned, every customer delay costs more than you think.
Not only do these defects erode operating margins, but they also weaken reputation, overload teams and slow down innovation.
In an industrial context where operational excellence is vital, measuring and reducing the cost of non-quality (CNQ) has become a major, and often under-exploited, lever.
This comprehensive guide helps you to:
Understand the different components of CNQ (internal, external, hidden)
Measure these costs in your context, even if you are starting from scratch
Deploy effective steering indicators
Prioritise actions according to their ROI
Automate tracking to generate sustainable savings
Download a ready-to-use Excel template to start your own analysis
The definition of the cost of non-quality (CNQ)
The cost of non-quality corresponds to all the losses generated by products or services that do not meet the expected requirements.
It is not just about visible defects or one-off incidents: non-quality creeps in wherever a discrepancy causes a loss.
How to calculate the cost of non-quality?
Summary formula
CNQ = Internal costs + External costs + Hidden costs − Prevention costs
Each of these components can be measured, monitored and managed.

Typology of costs to be integrated
Internal costs
Scrap and rework
Unused machine or operator time
Over-testing / redundant inspections
Storage, sorting, quarantine
External costs
Customer returns
Contractual penalties
After-sales service costs (interventions, replacements)
Loss of turnover on the concerned sale
Hidden costs
Damage to brand image
Turnover related to stress or loss of purpose
Administrative time dedicated to complaints
Loss of interest from certain customers or partners
Impact on OEE, lead times or innovation
Prevention costs
Quality controls
Preventive maintenance
Internal audits
Training
💡 The cost of non-quality is a cross-functional indicator of the organisation's performance.

Why integrate prevention in the calculation
Too often, CNQ is calculated without taking into account the efforts already made to avoid defects.
However, these expenses (training, audits, maintenance, controls, etc.) help to limit invisible losses.
A good quality indicator must contrast what you invest with what you lose.
Step-by-step method: how to measure CNQ in your business
Step 1: Define the scope
Start small: one line, one workshop, one product. It is faster and more credible.
Step 2: Identify cost items
You can start with a simple spreadsheet (like the one proposed below):
Internal costs: scrap, rework, reprocessing
External costs: penalties, after-sales service, returns
Hidden costs: conservative estimates
Prevention costs: training, audits, maintenance
Step 3: Collect data
Use your existing systems (ERP, MES, CRM, Excel files). Even if they are incomplete, you can start with orders of magnitude.
Step 4: Calculate the CNQ % of turnover
Example: If CNQ = £120,000 and turnover = £3M → CNQ/Turnover = 4%
This allows for benchmarking and setting improvement targets.

Worked example
Let's take the example of a mechanical subcontracting company.
Here are its figures:
Monthly production: 20,000 parts
Defect rate: 2.5%
Unit cost: £40
Average rework cost: £12
Estimated external costs: £6,000
Estimated hidden costs: £4,000
Prevention costs: £8,000
Calculation:
Scrap: 250 × £40 = £10,000
Rework: 250 × £12 = £3,000
Gross total: 10,000 + 3,000 + 6,000 + 4,000 = £23,000
Net CNQ = 23,000 − 8,000 = £15,000 / month
This equates to £180,000 / year, without taking into account image or delay impacts.
KPIs to track to manage the cost of non-quality
KPI | Description |
|---|---|
% CNQ / Turnover | Global monitoring, target < 1 to 2% depending on sectors |
Cost per non-conformity | To prioritise critical defects |
Rework rate | Target: continuous reduction |
CAPA processing time | Measurement of reactivity |
Average customer service cost / case | Good proxy for the severity of external impacts |
A good dashboard allows you to identify trends, recurrences and high-impact causes.
Integrating a preventive approach: the real performance lever
Measuring is good. But anticipating is better 😊
Today, the most successful companies use their quality data to prevent defects, not just to record them.
A few examples:
An analysis of non-conformities makes it possible to detect invisible root causes (e.g. raw material variation)
Real-time alerts on certain drifts (cycle time, temperature, vibration, etc.) prevent scrap before it happens
A well-structured CAPA database allows problems to be resolved from the 1st occurrence, not the 10th
📈 Reducing the cost of non-quality is about anticipation, not just reaction.
Moving from a catch-up culture to a control culture
The cost of non-quality is an excellent indicator of industrial maturity.
Knowing how to measure, manage and reduce it, with methodology, allows you to:
✅ Increase margins
✅ Smooth out production
✅ Restore customer trust
✅ Strengthen team commitment
Excel template to download
We offer you an Excel template to:
Simulate your own cost of non-quality
Estimate the gains associated with a corrective action
Track monthly trends

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