Introduction to Statistical Process Control

<p><b>An Introduction to the Fundamentals and History of Control Charts, Applications, and Guidelines for Implementation</b> </p> <p><i>Introduction to Statistical Process Control </i>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.</p> <p>This eight-chapter reference breaks information down into digestible sections and covers topics including:</p> <p>●      An introduction to the basics as well as a background of control charts</p> <p>●      Widely used and newly researched attributes of control charts, including guidelines for implementation</p> <p>●      The process capability index for both normal and non-normal distribution via the sampling of multiple dependent states</p> <p>●      An overview of attribute control charts based on memory statistics</p> <p>●      The development of control charts using EQMA statistics </p> <p>For a solid understanding of control methodologies and the basics of quality assurance, <i>Introduction to Statistical Process Control</i> 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.</p>