An advantage of SPC over other methods of quality control, such as "inspection," is that it emphasizes early detection and prevention of problems, rather than the correction of problems after they have occurred.
Statistical process control (SPC) or statistical quality control (SQC) is the application of statistical methods to monitor and control the quality of a production process.
SPC can be applied to any process where the "conforming product" (product meeting specifications) output can be measured.
Key tools used in SPC include run charts, control charts, a focus on continuous improvement, and the design of experiments. An example of a process where SPC is applied is manufacturing lines.
Statistical process control is appropriate to support any repetitive process, and with applications in various industries including financial auditing and accounting, IT operations, health care processes, and clerical processes such as loan arrangement and administration, customer billing etc.
The process involves three major phases:
Understanding the process and the specification limits.
Eliminating assignable (special) sources of variation, so that the process is stable.
Monitoring the ongoing production process, assisted by the use of control charts, to detect significant changes of mean or variation.
Statistical process control is appropriate to support any repetitive process