Statistical Quality Control (SQC)
What is Statistical Quality Control (SQC)?
Statistical quality control (SQC) is a method of monitoring and controlling the quality of a product or process by using statistical tools and techniques. SQC involves collecting data on the quality of a product or process and using statistical analysis to identify trends and patterns in the data. This allows organizations to identify problems or defects in the product or process, and to take corrective action to address those issues.
There are several types of statistical quality control methods, including:
- Inspection: This involves checking products or processes for defects or problems at various points in the production process.
- Sampling: This involves selecting a representative sample of products or processes, and testing or inspecting them to determine the overall quality of the product or process.
- Statistical Process Control (SPC): This involves collecting data on a process or product at various points in the production process, and using statistical techniques to identify trends and patterns in the data. SPC allows organizations to identify problems with the process or product, and to take corrective action to address those issues.
- Six Sigma: This is a data-driven approach to performance improvement that involves defining, measuring, analyzing, improving, and controlling processes to eliminate defects and improve quality. Six Sigma uses a variety of statistical tools and techniques to measure and improve quality.
SQC is an important aspect of quality management, as it allows organizations to monitor and control the quality of their products and processes. By using SQC methods, organizations can identify and address problems with their products or processes, and improve the overall quality of their offerings.