Every manufacturing company tracks its direct costs. Raw materials. Labour. Energy. Machine depreciation. These costs are visible, measurable and managed.
What most manufacturing companies do not track and what their P&L systematically understates is the cost of non-quality.
Not the obvious cost of a product recall or a major customer complaint. Those appear in the accounts, eventually. The hidden cost of non-quality is the daily accumulation of small inefficiencies, invisible rework, untracked scrap, delayed deliveries and management time spent firefighting problems that a better quality system would have prevented.
Studies consistently estimate that the total cost of non-quality in manufacturing ranges from 5% to 30% of turnover depending on the industry, the maturity of the quality system and the visibility of the data. For a company with €10 million in revenue, that is between €500,000 and €3 million per year. Largely invisible. Largely preventable.
- What is the cost of non-quality?
- Why the cost of non-quality stays hidden
- The most underestimated components of non-quality cost
- How Odoo helps manufacturing companies measure and reduce non-quality costs
- From cost of non-quality to competitive advantage
- Where to start: a practical approach to measuring your non-quality costs
- Conclusion: what you don't measure, you can't manage
What is the cost of non-quality?
The cost of non-quality (also known as Cost of Poor Quality, or COPQ) is the total cost incurred because products or processes fail to meet quality requirements. It is typically divided into four categories.
Internal failure costs
These are costs incurred when a quality problem is detected before the product reaches the customer.
- Scrap: materials and labour invested in products that cannot be used or sold
- Rework: time and materials spent correcting defective products to make them acceptable
- Re-inspection: quality checks repeated after rework
- Downgrading: products sold at a lower price because they do not meet specification
- Production delays: time lost while defective products are identified, quarantined and processed
- Excess inventory: safety stock held to compensate for yield losses and production variability
Internal failure costs are the most recoverable, they represent waste that can be eliminated through better process control and quality management.
External failure costs
These are costs incurred when a quality problem reaches the customer.
- Returns and replacements: logistics, labour and material costs of handling returned products
- Warranty claims: costs of repair or replacement under warranty
- Customer complaints: management time spent investigating and resolving complaints
- Product recalls: potentially catastrophic costs of identifying, retrieving and disposing of defective products in the market
- Lost customers: the long-term revenue impact of customers who leave because of quality problems
- Regulatory penalties: fines and sanctions from regulatory bodies for compliance failures
External failure costs are the most damaging, they affect both the income statement and the customer relationship simultaneously.
Appraisal costs
These are costs of activities designed to detect quality problems inspection, testing, auditing. Appraisal costs are necessary but should be minimized through better process control that prevents defects rather than detecting them after the fact.
- Incoming material inspection
- In-process quality checks
- Final product testing
- Quality audits
- Calibration of measuring equipment
Prevention costs
These are costs of activities designed to prevent quality problems from occurring in the first place process design, training, supplier qualification, quality planning. Prevention costs are the most valuable investment: every euro spent on prevention typically saves five to ten euros in failure costs.
- Quality management system design and maintenance
- Supplier qualification and development
- Process capability studies
- Operator training on quality procedures
- Preventive maintenance
The goal of a mature quality management system is to shift investment from failure costs toward prevention costs reducing the total cost of quality while improving output quality simultaneously.
The most underestimated components of non-quality cost
Beyond scrap and rework, several cost components are consistently underestimated or ignored entirely.
Management time spent on quality problems
When a quality issue arises, it consumes time from production managers, quality managers, purchasing managers, customer service teams and sometimes senior leadership. This time is rarely tracked or costed but in manufacturing companies with frequent quality problems, it can easily represent 10-20% of management capacity.
The cost of excess inventory held as a quality buffer
Companies with unreliable production quality hold more safety stock than they would need with a capable, controlled process. This excess inventory ties up working capital, occupies warehouse space and generates additional handling costs all of which are attributable, indirectly, to poor quality.
The cost of lost productivity during quality investigations
When a production line stops to investigate a quality issue or when operators slow down because they are uncertain about the quality of incoming materials, the productivity loss is real but rarely captured. It shows up as lower output, not as a quality cost.
The long-term cost of customer attrition
A customer who leaves because of repeated quality problems does not generate a visible cost in the accounts. The lost revenue simply stops appearing. Yet customer attrition driven by quality is one of the most damaging long-term consequences of a poor quality system — and one of the hardest to quantify without deliberate tracking.
How Odoo helps manufacturing companies measure and reduce non-quality costs
Odoo's integrated quality management module combined with manufacturing, inventory and analytical accounting provides the data infrastructure needed to make the cost of non-quality visible, measurable and manageable.
Scrap tracking per production order
In Odoo, scrap generated during production is recorded at the work order level with the quantity, the component or product scrapped, and the reason. This data is automatically costed and posted to the production order, making scrap cost visible per order rather than buried in aggregate inventory write-offs.
Over time, scrap data by product, by work center, by operator and by material allows quality and operations teams to identify patterns and prioritize improvement efforts where the financial impact is highest.
Rework tracking and costing
When a production order requires rework, Odoo allows you to create a rework manufacturing order linked to the original, capturing the additional labour time, materials and machine time consumed. This rework cost is attributed to the original order, giving an accurate picture of total production cost including quality failures.
Quality control points and failure rate tracking
Odoo's Quality Control Points trigger inspections at defined stages of the manufacturing process. When an inspection fails, the failure is recorded with the specific lot, production order, work center and operator, creating a dataset that allows statistical analysis of failure rates over time.
Failure rate trends by supplier, by material batch, by production line or by operator are the foundation of effective preventive quality management.
CAPA management and root cause analysis
When a non-conformity is detected whether in production, at incoming inspection or through a customer complaint, Odoo allows you to create a Corrective and Preventive Action (CAPA) record. The CAPA tracks the problem description, root cause analysis, corrective actions taken, preventive measures implemented and verification of effectiveness.
This creates an auditable quality management loop from problem detection to permanent resolution, that is essential for ISO 9001 compliance and continuous improvement programmes.
Customer complaint management linked to production data
When a customer complaint is received, Odoo allows you to link it directly to the specific delivery, production order and material lots involved. This connection between the customer-facing complaint and the production-level data is what transforms complaint management from a customer service activity into a quality improvement tool.
Analytical reporting on non-quality costs
With Odoo's analytical accounting configured correctly, quality-related costs, scrap, rework, inspection, complaint resolution can be reported separately from normal production costs, making the total cost of non-quality visible as a management metric for the first time.
This visibility is transformative. When management can see that non-quality is costing €X per month across specific product lines or work centers, investment in prevention becomes a financially justified decision rather than a general aspiration.
From cost of non-quality to competitive advantage
The companies that manage quality most effectively do not just reduce costs. They convert quality performance into a competitive advantage.
- Shorter lead times: when production processes are capable and controlled, less time is spent on rework, inspection and problem-solving. Production flows faster. Delivery promises are more reliable.
- Lower inventory requirements: when yield is predictable, safety stock can be reduced. Working capital is freed. Warehouse space is recovered.
- Stronger customer relationships: customers who never experience quality problems do not look for alternative suppliers. Quality consistency is one of the most powerful retention mechanisms in B2B manufacturing.
- Better pricing power: manufacturers with demonstrably superior quality can command premium prices. The cost of non-quality at competitors becomes a selling point.
- Easier regulatory compliance: companies with mature quality systems spend less time and money on audits, certifications and regulatory submissions. Quality documentation is complete, accurate and easily accessible.
Where to start: a practical approach to measuring your non-quality costs
For manufacturing companies that want to start measuring and reducing their cost of non-quality, here is a pragmatic starting point.
Start with scrap: scrap is the most visible and most easily quantified component of non-quality cost. Implement systematic scrap recording in Odoo by product, by reason, by work center and establish a baseline within three months.
Add rework tracking: once scrap is measured, extend tracking to rework. Capture the additional time and materials consumed in correcting defective products and link this cost to the original production order.
Implement incoming inspection: quality problems that originate with supplier materials are best caught at reception before they enter production and generate downstream failure costs. Odoo's incoming quality control points make this systematic and auditable.
Connect complaints to production data: when a customer complaint arrives, make it standard practice to trace it back to the specific production order, material batch and process conditions involved. This data is the foundation of effective root cause analysis.
Build the reporting: once the data is being captured, configure Odoo's analytical reporting to surface non-quality costs as a visible management metric monthly, by product family, by work center, by supplier.
Conclusion: what you don't measure, you can't manage
The cost of non-quality is real, significant and largely preventable. But it will remain hidden and therefore unmanaged as long as manufacturing companies lack the data infrastructure to make it visible.
Odoo's integrated quality management, connected to manufacturing, inventory and analytical accounting, provides exactly this infrastructure. Not as a separate quality system. Not as a compliance tool bolted onto an ERP. As a native part of the operational system that your teams already use every day.
The companies that invest in making their non-quality costs visible today are the ones that will have the margin, the delivery reliability and the customer relationships to grow tomorrow.
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The Hidden Cost of Non-Quality in Manufacturing: What Your P&L Is Not Telling You