About this document
Understanding Statistical Process Control by Jaya Porsche Ignacio Alegarbes is a document available to read on EtoBox.
Statistical process control is a method used to identify and address variations in manufacturing processes. It was developed in the 1920s and involves analyzing common and special causes of variation. Common causes result from issues inherent in the system, while special causes are one-time events. The PDSA (Plan, Do, Study, Act) cycle is then used to test solutions, where companies plan changes, implement them, analyze their impact, and decide to standardize or pursue new changes to further reduce variatio
- Author
- Jaya Porsche Ignacio Alegarbes
- Language
- EN