Introduction to Statistical Process Control

Introduction to Statistical Process Control
  • eBook:
    Introduction to Statistical Process Control
  • Author:
    Muhammad Aslam, Aamir Saghir, Liaquat Ahmad
  • Edition:
    1 edition
  • Categories:
  • Data:
    September 16, 2020
  • ISBN:
  • ISBN-13:
  • Language:
  • Pages:
    304 pages
  • Format:

Book Description
An Introduction to the Fundamentals and History of Control Charts, Applications, and Guidelines for Implementation 
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.


1. Introduction and Genesis
2. Shewhart Type Control Charts for Attributes
3. Variable Control Charts
4. Control Chart for Multiple Dependent State Sampling
5. EWMA Control Charts Using Repetitive Group Sampling Scheme
6. Sampling Schemes for Developing Control Charts
7. Memory-Type Control Charts for Attributes
8. Multivariate Control Charts for Attributes

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