Statistical Methods For Quality, Reliability And Maintainability

Statistical Methods For Quality, Reliability And Maintainability

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Product Specifications

Publisher PHI Learning All Management And Leadership books by PHI Learning
ISBN 9788120345430
Author: K. Muralidharan, A. Syamsundar
Number of Pages 365
Available
Available in all digital devices
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Statistical Methods For Quality, Reliability And Maintainability - Page 1 Statistical Methods For Quality, Reliability And Maintainability - Page 2 Statistical Methods For Quality, Reliability And Maintainability - Page 3 Statistical Methods For Quality, Reliability And Maintainability - Page 4 Statistical Methods For Quality, Reliability And Maintainability - Page 5

Description:

 

A fine blend of the three disciplines, viz. quality, reliability and maintainability, this book provides a clear understanding of the concepts and discusses their applications using statistical tools and techniques. The concepts are critically assessed and explained to enable their use for management decision-making.

The book describes many current topics such as six sigma, capability maturity model integration (CMMI), process data management, reliability system models, repairable system models, maintainability assessment and design and testing concepts.

It is intended as a textbook for the undergraduate students of Mechanical Engineering and Production and Industrial Engineering. The book will also be useful to the postgraduate students of Applied Statistics, Quality and Reliability, and Quality and Productivity Management as well as to the management and engineering professionals.

KEY FEATURES :

Provides charts and plots to explain the concepts discussed.

Gives an account of most recent developments.

Gives illustrations of practical situations where tools can be applied immediately.

Interspersed with plenty of worked-out examples to reinforce the concepts.

Includes chapter-end exercises to drill the students in self-study.

CONTENTS:

Preface
Part 1: QUALITY
1. Understanding Quality 
2. Quality and Process
3. Process Capability and Quality 
4. Process Improvement and Quality
5. Process Data Management 
Part 2: RELIABILITY
6. Understanding Reliability 
7. Reliability Tools 
8. Reliability Models and Inferences
9. Reliability Assessment
10. Reliability Improvement 
11. Repairable System Reliability 
Part 3: MAINTAINABILITY
12. Maintainability
13. Maintainability Measures and Prediction
14. Maintainability Assessment 
15. Maintainability Design and Testing
Appendices • Index