Statistical Process Control (SPC) is a type of quality control practice which uses statistical methods to monitor and control a process. It allows manufacturing facilities to observe and manage behaviors, uncover bottlenecks, and discover solutions for production problems.
Much of the SPC we see today in modern facilities can be traced back to World War II, when products such as munitions called for stringent quality measures. SPC methods have seen a major resurgence in recent years, especially with initiatives such as Six Sigma, a method used to improve the capability of business processes. One hallmark characteristic of SPC is the control chart, which was first developed by Walter Shewart in the 1920s.