The mathematics of success and failure (SPC)
The use of statistical process control (SPC) to improve quality is discussed. Mathematical tools and techniques for SPC are reviewed. How to decide when a change in an indicator is statistically significant is addressed. An approach to SPC in which one attempts to reduce process sensitivity to external variations rather than control these variations more tightly is discussed.<<ETX>>