Quality Control (QC)
Definition - What does Quality Control (QC) mean?
Quality control (QC) is a process by which entities review the quality of all factors involved in production.
Quality control starts with an inspection of the finished product, but this method does not affect quality. For continuous quality improvements, the inspection must be combined with methods that reduce the factors that result in poor quality. Quality control methods observe where the product fails to meet quality standards and determine the causes.
Corrosionpedia explains Quality Control (QC)
Quality control is a method of monitoring whether products meet specifications and services are satisfactory. Quality control techniques may vary depending upon the intended measurement. Some methods of quality control include:
- Failure testing
- Acceptance sampling
- Statistical process control
- Analytical quality control
This technique is often performed by a team of professionals who use specific measurement techniques. These measurements often provide information relative to a product or service to ensure it meets specifications. Without quality control techniques, a company would likely rely on standard processes without knowledge of how well they perform.
For example, quality control in terms of paint production consists of sampling at regular intervals to ensure that the end product meets a set of target criteria, which include desired yield and concentration levels. Similarly, in the quality control of coatings on substrate, it checks surface preparations, thickness of coating depositions, porosity levels and surface finish. Paint adhesion, weathering and fire redundancy are also checked.
While quality control often relates to an end product, procedures may also be needed to monitor the actual quality measurements. Such quality control techniques are often known as analytical quality control.
ASTM's quality control standards provide the mathematical and statistical procedures instrumental in the evaluation of experiments and test methods. These procedures encompass the information-gathering stage of an experiment where variation is present, and includes the probability sampling process, the determination of the precision and bias of an experiment, and the measurement of the reliability and degree of uncertainty of test results and data.