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.

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Yes, you can access Introduction to Statistical Process Control by Muhammad Aslam, Aamir Saghir, Liaquat Ahmad in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Wiley

Year

2020

ISBN

9781119528432

Edition

Topic

Mathematics

Subtopic

Probability & Statistics

Index

Mathematics

Cover
Table of Contents
Title Page
Copyright Page
About the Authors
Preface
Acknowledgments
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
Appendix A: Areas of the Cumulative Standard Normal Distribution
Appendix B: Factors for Constructing Variable Control Charts
Index
End User License Agreement