Introduction to Statistical Process Control

Introduction to Statistical Process Control examines various types of control charts that are typically used by engineering students and practitioners. This book helps readers develop a better understanding of the history, implementation, and use-cases. Students are presented with varying control chart techniques, information, and roadmaps to ensure their control charts are operating efficiently and producing specification-confirming products. This is the essential text on the theories and applications behind statistical methods and control procedures.

This eight-chapter reference breaks information down into digestible sections and covers topics including:

● An introduction to the basics as well as a background of control charts

● Widely used and newly researched attributes of control charts, including guidelines for implementation

● The process capability index for both normal and non-normal distribution via the sampling of multiple dependent states

● An overview of attribute control charts based on memory statistics

● The development of control charts using EQMA statistics

For a solid understanding of control methodologies and the basics of quality assurance, Introduction to Statistical Process Control is a definitive reference designed to be read by practitioners and students alike. It is an essential textbook for those who want to explore quality control and systems design.