DESIGNING CAPABLE AND RELIABLE PRODUCTS

Booker, J. D.; Raines, M.; Swift, K. G.

ISBN 10: 0750650761 / ISBN 13: 9780750650762

Published by Butterworth-Heinemann, 2001

About this Item

Brand New Original US Edition. Customer service! Satisfaction Guaranteed.

Seller Inventory # ASNT3-218914

Bibliographic Details

• Title: DESIGNING CAPABLE AND RELIABLE PRODUCTS
• Publisher: Butterworth-Heinemann
• Publication Date: 2001
• Language: English
• ISBN 10: 0750650761
• ISBN 13: 9780750650762
• Binding: Hardcover
• Condition: New

About this title

Synopsis

Designing Capable and Reliable Products offers an introduction to the importance of capability, quality and reliability in product development. It introduces the concept of capable design, focusing on producing designs that meet quality standards and also looks at linking component manufacture and its process capability with failure rates. It provides an introduction to reliable design, incorporating the probabilistic concept of reliability into the product design. This quantitative and highly practical volume provides practical methods for analysing mechanical designs with respect to their capability and reliability. Practising engineers who have to hit definite standards for design will find this book invaluable, as it outlines methods which use physically significant data to quanitify engineering risks at the design stage. By obtaining more realistic measures of design performance, failure costs can be reduced. Taking product design as its central theme, this book is a very useful tool for postgraduate students as well as professional engineers.

About the Author

Professor Ken Swift is the Lucas Professor of Manufacturing Systems Engineering at University of Hull, UK. Following decades of research and collaboration with leading manufacturing groups worldwide, his current research interests include capability analysis and probabilistic design, flexible assembly and inspection systems. He has received numerous awards and prizes in the area of design and manufacturing, including the Donald Julius Groen Prize, awarded for a paper on manufacturing process selection in the IMechE Journal of Engineering Manufacture.