A set of statistical techniques used to monitor and control a process to ensure that it operates at its full potential.
Statistical Quality Control involves the application of statistical methods and tools such as control charts, process capability analysis, and acceptance sampling to assess and manage the quality of manufacturing processes. It is crucial for identifying and reducing variability in production, thereby improving the consistency and reliability of the product output, such as in automotive or aerospace component production.
In the production of automotive brake systems, control charts are used to monitor the diameter of brake discs to ensure they meet the specified tolerance of 0.5 mm (0.02 in).
Commonly applied in the automotive industry to ensure components adhere to safety-critical dimensional standards.
Process capability analysis is employed in the manufacture of semiconductor wafers to ensure the thickness remains within a 2 nanometer (nm) range.
Widely used in the electronics manufacturing sector, particularly for products requiring high precision and uniformity.