Applied Statistical Quality Control And Improvement

By K. Krishnaiah more
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Product Specifications

Publisher PHI Learning All Industrial Engineering books by PHI Learning
ISBN 9788120349759
Author: K. Krishnaiah
Number of Pages 499
Available
Available in all digital devices
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Applied Statistical Quality Control And Improvement - Page 1 Applied Statistical Quality Control And Improvement - Page 2 Applied Statistical Quality Control And Improvement - Page 3 Applied Statistical Quality Control And Improvement - Page 4 Applied Statistical Quality Control And Improvement - Page 5

Applied Statistical Quality Control And Improvement by K. Krishnaiah
Book Summary:

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.

Audience of the Book :
This book Useful for Manahement Student
Table of Contents:

1. Statistical Concepts for Quality Control

2. Fundamentals of Quality

3. Statistical Process Control

4. Process and Measurement System Capability

5. Control Charts for Attributes

6. Control Charts for Individual Measurements

7. Acceptance Sampling by Attributes

8. Standard Acceptance Sampling Systems

9. Concepts of Reliability

10. Quality Improvement Through Design of Experiments

11. Process Parameters Optimisation Using Taguchi Method

12. Shainin System for Quality Improvement

13. Shainin DOE Tools

14. Six-sigma Approach to Quality

15. Total Quality Management

16. Case Studies on Quality Improvement

Appendices

References • Index

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