Successful Prediction of Product Performance : Quality, Reliability, Durability, Safety, Maintainability, Life-Cycle Cost, Profit, and Other Components

The ability to successfully predict industrial product performance during service life provides benefits for producers and users. This book addresses methods to improve product quality, reliability, and durability during the product life cycle, along with methods to avoid costs that can negatively impact profitability plans. The methods presented can be applied to reducing risk in the research and design processes and integration with manufacturing methods to successfully predict product performance. This approach incorporates components that are based on simulations in the laboratory. The results are combined with in-field testing to determine degradation parameters. These approaches result in improvements to product quality, performance, safety, profitability, and customer satisfaction. Among the methods of analyses included are:

• Accelerated Reliability Testing (ART)
• Accelerated Durability Testing (ADT)
• system variability / input variability
• engineering risk versus time and expense

Preface
Introduction

Chapter 1 : Terms and Definitions for Successful Prediction, Reliability, and Durability Testing
Chapter 2 : Analysis of Current Approaches in Simulation and Testing
Chapter 3 : Methodological Aspects as the First Basic Component of Successful Prediction of Product Performance
Chapter 4 : Basic Aspects of Accelerated Reliability/Durability Testing as the Second Basic Component of Successful Prediction of Product Performance
Chapter 5 : Integrated Equipment for Physical Simulation of Interacted Real-World Conditions
Chapter 6 : Financial Considerations, Use of the Author's Approach, and Some Published Reviews to the Authors Previous Books
Chapter 7 : Improving the Standardization of Accelerated Reliability and Durability Testing
Chapter 8 : Improvement in Engineering Culture for Successful Prediction

Index
About the Author