APPLIED STATISTICAL QUALITY CONTROL AND IMPROVEMENT

APPLIED STATISTICAL QUALITY CONTROL AND IMPROVEMENT
Author :
Publisher : PHI Learning Pvt. Ltd.
Total Pages : 499
Release :
ISBN-10 : 9788120349759
ISBN-13 : 812034975X
Rating : 4/5 (59 Downloads)

Book Synopsis APPLIED STATISTICAL QUALITY CONTROL AND IMPROVEMENT by : K. KRISHNAIAH

Download or read book APPLIED STATISTICAL QUALITY CONTROL AND IMPROVEMENT written by K. KRISHNAIAH and published by PHI Learning Pvt. Ltd.. This book was released on 2014-05-12 with total page 499 pages. Available in PDF, EPUB and Kindle. Book excerpt: Primarily intended for the undergraduate students of industrial, production, mechanical and manufacturing engineering, and postgraduate students of industrial, quality engineering and management and industrial engineering and management, this book fills the gap between theory and practice of tools and techniques of quality control and quality improvement. In this book, the principles and concepts are presented clearly and logically with necessary numerical illustrations to reinforce the understanding of the subject matter. The book is organized in two parts. Part I deals with statistical quality control. It starts with the fundamentals of statistics and quality followed by elaborate discussion on statistical process control, process and gauge capability studies with emphasis on their practical application. It also covers detailed discussion on the various types of control charts used to monitor and control quality of processes and products. It includes acceptance sampling inspection procedures and standard sampling systems. Part II deals with quality improvement techniques/methods. It is a data driven approach that discusses the application of Design of Experiments and Taguchi Methods for improving quality of processes and products. A comprehensive discussion on total quality management is also presented. KEY FEATURES • Provides a well structured procedure for the application of all the tools and techniques. • Includes Shainin DOE tools widely used in Six sigma projects. • Demonstrates the application of quality improvement techniques through real life case studies.


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