Introduction to Quality and Reliability Engineering (Springer Series in Reliability Engineering)

Integrates the subjects quality and reliability engineering

Focuses on practical issues and quantitative analysis

Includes a wealth of examples and exercises that can be conveniently solved using a spreadsheet program

Uses Microsoft Excel to conduct optimization, regression and simulation and calculate the values usually determined using statistical tables

Some topics are unique and cross-disciplinary, such as design for X and multi-criteria decision making and supplier selection

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 and accelerated life testing, while topics in quality include design for quality, acceptance sampling and supplier selection, statistical process control, production tests such as 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 reader comprehension and link theory and practice. All numerical examples can be easily solved using Microsoft Excel. The book is intended for senior undergraduate and post-graduate 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 School of Automotive and Mechanical Engineering, Changsha University of Science and Technology, China.