Key Quality Indicators
Does your company frequently deal with complaints, and do audits fail to meet expectations? A lack of clear procedures in the quality department and inadequate process measurement can generate serious problems. It is worth understanding which processes should be monitored and what benefits precise measurement brings to the day-to-day operations of a company.
How many indicators should we measure in the quality department?
Customer Complaints
The defect and rework count indicator and the defect and rework cost indicator – what are they and why is it worth monitoring them?
Quality Audit Results
PPM, DPU, DPMO Indicators
In the quality department, it is essential to measure several fundamental indicators that make it possible to assess whether processes are running optimally, as well as which areas require improvement. The choice of indicators depends on the specific characteristics of the company and the industry, although there are general indicators that work well in almost every organisation.
Number of complaints and product returns – This indicator directly reflects the quality of the products or services delivered. The greater the number of complaints, the higher the likelihood that errors occurred during the production or service delivery process that need to be addressed. By monitoring this indicator, the quality department can identify the sources of problems and respond accordingly, minimising damage to the company's reputation.
Average complaint processing time – Response time to a complaint is the second important indicator that affects customer satisfaction. Shortening this time demonstrates better organisational efficiency within the company, as well as good cooperation between the quality department and other departments.
Defect rate – This indicator shows how many products are rejected during the production process due to defects. High numbers point to problems at the production level, which can lead to longer production cycles, financial losses, and reduced work efficiency. The quality department should strive to minimise this indicator, which will help optimise internal processes.
Defects Per Million Opportunities (DPMO) – This indicator focuses on "perfection" in production, measuring how many defects occur per million units produced. It is particularly important in manufacturing companies with very high quality requirements. Keeping DPMO at a low level enables higher quality standards to be achieved.
Effectiveness of corrective actions – This indicator makes it possible to assess how effectively the company resolves identified problems. It is important not only to identify problems, but also to fix them effectively so that they do not recur. This allows the company to continuously improve its internal processes and avoid recurring difficulties.
In summary, measuring the right quality indicators enables a company to continuously adapt its operations to changing market conditions, improve product quality, and increase customer satisfaction. Effective process control contributes to company growth as well as minimising losses at the early stages of operations.
Complaints are an unavoidable part of everyday life for many small and medium-sized enterprises, particularly those operating in manufacturing, trade, and service industries. While encountering them is normal for any company, their volume, cost, processing time, and recurrence can have a significant impact on the functioning and results of the entire enterprise.
Number of Complaints as a Measure of Product and Service Quality
The number of complaints a company receives can be one of the primary indicators of customer satisfaction levels, as well as the quality of production processes or services rendered. When the number of reported complaints rises, business owners should first consider the key causes of these problems. Is it an isolated systemic error, oversights during quality control, or perhaps a mismatch between products and user expectations? Identifying the root cause is the first step towards a solution. In companies that deal with recurring complaints, there is an increased risk that the enterprise's reputation will suffer and that customers will begin to seek alternatives from competitors. Analysing complaint volume data enables the identification and elimination of the most problematic areas of activity.
Complaint costs – the hidden price of quality oversights
Complaints represent a significant cost for small and medium-sized enterprises. Covering the costs associated with product replacement, repair, or service provision frequently places a burden on the business budget, which, particularly in smaller companies, may be limited. Additional expenses typically include: material costs (e.g. new production), logistics costs (e.g. return of goods, dispatch of replacements), and the time costs of personnel involved in processing claims. Furthermore, these costs are not limited to finances alone – they can also affect the work of various departments within the enterprise, such as production, sales, and customer service. Companies can minimise these effects by implementing appropriate quality control measures during production or service delivery.
Proper control makes it possible to detect a problem at an earlier stage, before the product reaches customers, which as a result will contribute to a reduction in the number of complaints.
Complaint processing time – a key indicator of process efficiency
Complaint processing time is another important factor that influences how a company is perceived. Customers expect their problems to be resolved quickly and efficiently. Any prolonged process can affect customer satisfaction and, in the worst case, lead them to switch to a competitor. A well-optimised complaint handling process reduces customer frustration and helps the company maintain a positive image.
Recurring complaints – a signal for deeper change
When the same complaints about a single product or service appear three, four, or even more times, this is a clear signal that the problem has its source in a more fundamental flaw in the production, quality, or design processes. Unaddressed recurring errors only lead to rising costs and lost customers. Analysing these errors and applying quality management methods can help companies quickly identify the most frequently recurring problems. Using simple complaint monitoring tools enables systematic tracking of what has been corrected, what requires optimisation, and what decisions need to be implemented to prevent complaints from recurring.
The Impact of Complaints on the Functioning of the Entire Enterprise
Complaints can have a very wide-ranging impact on the entire enterprise. In the long term, a high volume of complaints and their associated costs can lead to the financial weakening of the company. An excessively high number of complaints is frequently caused by shortcomings in the quality control processes in operation and a lack of optimal tools for monitoring them. It is therefore extremely important that, already at the planning stage of company tasks, effective solutions are introduced to help prevent complaints and manage them efficiently.
The defect and rework count indicator and the defect and rework cost indicator are analytical tools that help companies monitor the quality of products manufactured or services performed. They are essential in assessing the effectiveness of production activities and in quality management. Understanding and regularly monitoring these indicators enables companies both to increase efficiency and to reduce the costs associated with correcting defective products or imperfect operational processes.
Defect and Rework Count Indicator
The defect count indicator refers to the number or percentage of products that have been rejected for non-conformance with quality standards, while the rework count indicator describes the number of actions that had to be taken to bring a defective product back up to the required standard. Simple examples may include products that failed quality control or services that did not meet customer expectations and had to be performed again.
Monitoring these indicators has an impact on:
Identifying weak points in the process – A high defect rate signals that certain stages of production require improvement. This may mean the need for changes in work organisation, employee training, or machinery modernisation.
Maintaining product quality – Monitoring rework contributes to raising quality standards and eliminates the need for frequent repairs or replacements. Companies that regularly analyse rework volumes have greater awareness of where they are losing time and resources.
Managing company processes – Regular monitoring of defect and rework volumes enables rapid response to problems and minimises their impact on company efficiency.
Why is regular monitoring of the defect and rework count indicator essential?
It enables the quick detection and resolution of problems at various stages of production.
It reduces downtime associated with repairs or product replacement.
It decreases the number of complaints and raises the level of customer satisfaction.
Defect and Rework Cost IndicatorThe defect cost indicator measures the direct financial losses associated with the production of defective products that do not meet quality standards or do not satisfy consumers. The rework cost indicator, on the other hand, refers to the expenditure incurred in eliminating these errors, improving the product, or replacing it.
These costs include:
Material costs – Products that need to be repaired require additional materials, which can impact the budget. Even minor corrections, at scale, can generate significant costs.
Labour costs – Every correction or repair of a product entails the need for additional hours of work. This can include both the costs associated with manual labour and the use of machinery.
Downtime costs – When the production process has to be halted in order to make corrections, the company loses time that could have been used to create valuable products or deliver services. These costs may also be associated with the need to provide discounts or cover complaint-related expenses.
Why is it essential to monitor these indicators?
Improving customer service – Insufficient product quality leads to a greater number of complaints. A good way to reduce them is to regularly track defect and rework indicators. Only then can a company address the root causes of the problem before they affect the customer.
Cost optimisation – A company that systematically optimises the cost of defects and rework has far greater control over operational budgets and can manage resources more effectively.
Improving employee morale – Monitoring and reducing the volume of defects decreases workplace stress. Instead of constantly fixing errors, the team can focus on increasing efficiency.
In summary, the defect and rework count indicator and the defect and rework cost indicator are essential tools in quality management and the optimisation of company processes. They enable faster identification and elimination of obstacles that negatively affect the operation of the enterprise. Implementing technologies that monitor these indicators further streamlines the company's day-to-day operations, reducing operational costs and increasing customer satisfaction.
Quality audit results play a key role in every enterprise, regardless of its scale of operations. This is because a quality audit allows not only the identification of existing problems, but also the drawing of conclusions that can contribute to improved results in the future. In practice, this means that a well-conducted quality audit can not only influence the final product or service, but also optimise the entire internal production, service, or management system. Thanks to clearly defined audit results, companies can better align their processes with standards while simultaneously minimising the risk of non-conformances arising in the future.
Analysis of Audit ResultsThe first step after conducting an audit is a thorough analysis of the results, which provide key information about current processes. It is worth noting that these results capture both the positive aspects of quality and the areas requiring improvement. For example, in production departments, analysis of problems identified during an audit can help in the close monitoring of the most important stages of work. This contributes to the reduction of inefficiencies, which in turn can lower costs associated with complaints.
In practice, audit results point to certain missing elements, such as low raw material quality, inadequate adherence to production standards, or downtime.
Regular and well-conducted quality audits of each organisational unit help avoid more serious problems before a product is launched on the market.
What are the benefits of regular quality audits?
Reduction in the number of complaints – Companies that conduct systematic audits find it easier to minimise the number of errors in products, as well as to identify the sources of customer complaints.
Improved on-time delivery – By analysing processes overburdened by a lack of resources, audits help organise resources in such a way as to minimise the risk of delays.
Better compliance with standards – companies that are regularly audited more frequently meet higher quality standards, which is of key importance for organisations working with demanding clients.
Improved efficiency – a well-conducted audit makes it possible to identify processes that could operate more effectively with fewer resources.
Motivation for the team – audit results also serve employees, as they show where their actions are effective and where there is an area for further improvement.
PPM, DPU, and DPMO are indicators used in quality management and in analyses of production and service processes to assess the efficiency and defect level of processes.
Let Us Now Look at Each of ThemPPM (Parts Per Million) – An indicator showing the number of faulty or defective elements per million parts produced. It is a statistical indicator most commonly used in the manufacturing industry to assess product quality and reliability. The lower the PPM indicator, the better the production quality. Example: If 500 defective units appear for every million units produced, the PPM indicator is 500.
DPU (Defects Per Unit) – Denotes the number of defects per unit (product, service, etc.). It is a measure indicating how many individual defects appear on average in a single product or process. DPU typically focuses on the total number of defects, which may include several defects in a single unit. Example: If 100 units were inspected and 50 defects were found, the DPU indicator is 0.
- This means that on average, half a defect occurs per unit produced.
DPMO (Defects Per Million Opportunities) – Denotes the number of defects per million opportunities for a defect to occur. In other words, it refers to the number of defects in the context of every potential location where a defect could occur, rather than whole units. It is a more precise indicator because it takes into account the complexity of the unit and the number of defects that could potentially occur.
When should these indicators be used?
PPM – is useful for the general assessment of production process quality; it is focused on the number of defects per million parts.
DPU – allows an understanding of how many defects occur per unit of product or service and is often used in the initial phase of quality control.
DPMO – is a more precise indicator because it takes into account the number of potential locations where defects could occur, which allows for a better understanding of the complexity of a given process.
Each of these indicators provides valuable information for management, quality controllers, and decision-makers, helping to drive corrective actions and improve production or service efficiency.
See examples of AI applications for your business
If you are interested in the topic of collecting and analysing indicators in the quality department, you may be interested in the Process Management application. It is a tool that supports companies in the comprehensive management of business processes, offering intelligent generation of structures and standards based on the individual data of the organisation.
Thanks to built-in artificial intelligence, the application will automatically generate the appropriate organisational departments, the processes occurring within those departments, and then the individual activities within those processes.
The application offers users flexibility – before generating content, they can provide additional prompts, which enables the results to be tailored to specific needs.
