ENABLES READERS TO UNDERSTAND THE METHODS OF EXPERIMENTAL DESIGN TO
SUCCESSFULLY CONDUCT LIFE TESTING TO IMPROVE PRODUCT RELIABILITY
This book illustrates how experimental design and life testing can be
used to understand product reliability in order to enable reliability
improvements. The book is divided into four sections. The first section
focuses on statistical distributions and methods for modeling
reliability data. The second section provides an overview of design of
experiments including response surface methodology and optimal designs.
The third section describes regression models for reliability analysis
focused on lifetime data. This section provides the methods for how data
collected in a designed experiment can be properly analyzed. The final
section of the book pulls together all of the prior sections with
customized experiments that are uniquely suited for reliability testing.
Throughout the text, there is a focus on reliability applications and
methods. It addresses both optimal and robust design with censored data.
To aid in reader comprehension, examples and case studies are included
throughout the text to illustrate the key factors in designing
experiments and emphasize how experiments involving life testing are
inherently different. The book provides numerous state-of-the-art
exercises and solutions to help readers better understand the real-world
applications of experimental design and reliability. The authors utilize
R and JMP(R) software throughout as appropriate, and a
supplemental website contains the related data sets.
Written by internationally known experts in the fields of experimental
design methodology and reliability data analysis, sample topics covered
in the book include:
- An introduction to reliability, lifetime distributions, censoring, and
inference for parameter of lifetime distributions
- Design of experiments, optimal design, and robust design
- Lifetime regression, parametric regression models, and the Cox
Proportional Hazard Model
- Design strategies for reliability achievement
- Accelerated testing, models for acceleration, and design of
experiments for accelerated testing
The text features an accessible approach to reliability for readers with
various levels of technical expertise. This book is a key reference for
statistical researchers, reliability engineers, quality engineers, and
professionals in applied statistics and engineering. It is a
comprehensive textbook for upper-undergraduate and graduate-level
courses in statistics and engineering.
