Reliability and Six Sigma [electronic resource] / by U Dinesh Kumar, John Crocker, T Chitra, Haritha Saranga.Material type: TextLanguage: English Publisher: Boston, MA : Springer US, 2006Description: XIX, 385 p. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9780387302560Subject(s): Engineering | Industrial engineering | Machinery | System safety | Business logistics | Engineering | Quality Control, Reliability, Safety and Risk | Manufacturing, Machines, Tools | Industrial and Production Engineering | Production/Logistics | Operations Research/Decision Theory | ManagementAdditional physical formats: Printed edition:: No titleDDC classification: 658.56 LOC classification: TA169.7T55-T55.3TA403.6Online resources: Click here to access online
Reliability and Six Sigma - Introduction -- Reliability and Six Sigma — Probabilitic Models -- Reliability and Six Sigma Measures -- System Reliability -- Design for Reliability and Six Sigma -- Inservice Reliability -- Reliability and Six Sigma Estimation -- Software Reliability -- Availability and Six Sigma -- Reliability and Six Sigma Management.
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 that are 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