Reliability and Six Sigma

This book is a carefully developed integration of mathematical models that relate Six Sigma and reliability measures for the first time. Several case studies are used throughout the book to illustrate the application of the models discussed. The strength of Six Sigma is the way in which it structures the problem and the solution methodology to solve the problem. This is probably the only concept to attract the attention of almost all companies across the world irrespective of their business mission.Six Sigma is a strategic methodology employed by many companies to reduce costs and improve productivity. Blue chip companies such as General Electric, Motorola, and 3M implement thousands of Six Sigma projects every year. This is probably the only concept which has attracted the attention of almost all companies across the world irrespective of their business mission. The strength of Six Sigma is the way in which it structures the problem and the solution methodology to solve the problem. Its rigour and structured methodology are the main differentiators between Six Sigma and other process improvement techniques.§Reliability and Six Sigma is a carefully developed integration of mathematical models that relate Six Sigma and reliability measures. Case studies further integrate the material throughout the book to illustrate the application of the models. In addition, the book introduces and discusses the following aspects of reliability and Six Sigma:§The concept of reliability and Six Sigma and their role in system effectiveness§Basic probability and statistical techniques essential for analyzing reliability and Six Sigma problems§The measures of Six Sigma and reliability: how to predict them, interpret them, and how these measures are related§Tools and techniques needed for evaluation of system reliability and the relationship between system reliability and Sigma level§The design-for-reliability and the tools essential to implement Reliability and Six Sigma projects§Issues related to and the management of in-service reliability§Techniques to estimate the methodologies from in-service and test data