 Statistical process control

Statistical process control compares observed process outcomes with a stable reference model and control limits reflecting expected sampling variation. An observation outside those limits is a signal to investigate, not proof of a specific cause. Varying sample volumes require varying limits, and multiple testing changes the chance of a chance signal somewhere in the display.

Statistical Process Control (SPC) is a method used in quality control and management that employs statistical methods to monitor and control a process. The main goal of SPC is to ensure that a process operates efficiently, producing more specification-conforming products with less waste (rework or scrap). Here are some key features and concepts of SPC: 1. **Control Charts**: One of the core tools of SPC is the control chart, which visually represents data over time.