Introduction To Quality Engineering
Download Introduction To Quality Engineering PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Introduction To Quality Engineering book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Introduction to Quality Engineering
From the Back Cover: Introduction to Quality Engineering is the first book with specific in-depth methods that places the responsibility of quality on everyone associated with the marketing, engineering and manufacturing of a product, and turns them all into Quality Control specialists. The book quantifies the loss due to lack of quality of a performance characteristic by directly relating it to its deviation from target performance, and shows efficient experimental and analytical techniques to minimize it. Unlike other books on quality and industrial experimentation which treat the subject specialty in a localized manner, this book encompasses all major activities of an industry, and links them together with a common objective of reducing quality loss. Chapters of the book progress smoothly and build upon the previous chapters. Each chapter introduces the subject matter, then a real life case study follows and ends with question and answer session between Dr. Taguchi and the student in a typical class. The techniques shown are powerful but easy to apply, and does not require statistical background or any other prerequisites; thus, the subject can be taught to engineers in an industry or in engineering schools.
Introduction to Quality and Reliability Engineering
This book presents the state-of-the-art in quality and reliability engineering from a product life-cycle standpoint. Topics in reliability include reliability models, life data analysis and modeling, design for reliability as well as accelerated life testing and reliability growth analysis, while topics in quality include design for quality, acceptance sampling and supplier selection, statistical process control, production tests such as environmental stress screening and burn-in, warranty and maintenance. The book provides comprehensive insights into two closely related subjects, and includes a wealth of examples and problems to enhance readers’ comprehension and link theory and practice. All numerical examples can be easily solved using Microsoft Excel. The book is intended for senior undergraduate and postgraduate students in related engineering and management programs such as mechanical engineering, manufacturing engineering, industrial engineering and engineering management programs, as well as for researchers and engineers in the quality and reliability fields. Dr. Renyan Jiang is a professor at the Faculty of Automotive and Mechanical Engineering, Changsha University of Science and Technology, China.
A First Course in Quality Engineering
Completely revised and updated, A First Course in Quality Engineering: Integrating Statistical and Management Methods of Quality, Second Edition contains virtually all the information an engineer needs to function as a quality engineer. The authors not only break things down very simply but also give a full understanding of why each topic covered is essential to learning proper quality management. They present the information in a manner that builds a strong foundation in quality management without overwhelming readers. See what’s new in the new edition: Reflects changes in the latest revision of the ISO 9000 Standards and the Baldrige Award criteria Includes new mini-projects and examples throughout Incorporates Lean methods for reducing cycle time, increasing throughput, and reducing waste Contains increased coverage of strategic planning This text covers management and statistical methods of quality engineering in an integrative manner, unlike other books on the subject that focus primarily on one of the two areas of quality. The authors illustrate the use of quality methods with examples drawn from their consulting work, using a reader-friendly style that makes the material approachable and encourages self-study. They cover the must-know fundamentals of probability and statistics and make extensive use of computer software to illustrate the use of the computer in solving quality problems. Reorganized to make the book suitable for self study, the second edition discusses how to design Total Quality System that works. With detailed coverage of the management and statistical tools needed to make the system perform well, the book provides a useful reference for professionals who need to implement quality systems in any environment and candidates preparing for the exams to qualify as a certified quality engineer (CQE).