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Introduction to Statistical Process Control

Software / Digital Media
304 Seiten
2020
Wiley-Blackwell (Hersteller)
978-1-119-52842-5 (ISBN)
CHF 179,95 inkl. MwSt
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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.

MUHAMMAD ASLAM, Ph.D., is a Professor in the Department of Statistics at King Abdulaziz University at Jeddah, Saudi Arabia. He was awarded the "Research Productivity Award for the year" in 2012 by Pakistan Council for Science and Technology. He is the founder of neutrosophic statistical quality control and neutrosophic inferential statistics. AAMIR SAGHIR, Ph.D., is a Professor in the Department of Mathematics at Mirpur University of Science and Technology. He received his Ph.D. in Statistics from Zhejiang University in China. LIAQUAT AHMAD, Ph.D., is an Associate Professor in the Department of Statistics and Computer Science at the University of Veterinary and Animal Sciences, Lahore, Pakistan. He's taught Statistics for over 24 years at the Ph.D. and M. Phil levels.

Erscheint lt. Verlag 28.8.2020
Verlagsort Hoboken
Sprache englisch
Maße 150 x 250 mm
Gewicht 666 g
Themenwelt Mathematik / Informatik Mathematik
Technik Elektrotechnik / Energietechnik
Technik Maschinenbau
ISBN-10 1-119-52842-9 / 1119528429
ISBN-13 978-1-119-52842-5 / 9781119528425
Zustand Neuware
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