Blischke / Murthy Reliability

Modeling, Prediction, and Optimization
1. Auflage 2011
ISBN: 978-1-118-15047-4
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 848 Seiten, E-Book

Reihe: Wiley Series in Probability and Statistics

Bringing together business and engineering to reliability analysisWith manufactured products exploding in numbers and complexity,reliability studies play an increasingly critical role throughout aproduct's entire life cycle-from design to post-sale support.Reliability: Modeling, Prediction, and Optimization presents aremarkably broad framework for the analysis of the technical andcommercial aspects of product reliability, integrating concepts andmethodologies from such diverse areas as engineering, materialsscience, statistics, probability, operations research, andmanagement. Written in plain language by two highly respectedexperts in the field, this practical work provides engineers,operations managers, and applied statisticians with bothqualitative and quantitative tools for solving a variety ofcomplex, real-world reliability problems. A wealth of examples andcase studies accompanies:
* Comprehensive coverage of assessment, prediction, and improvementat each stage of a product's life cycle
* Clear explanations of modeling and analysis for hardware rangingfrom a single part to whole systems
* Thorough coverage of test design and statistical analysis ofreliability data
* A special chapter on software reliability
* Coverage of effective management of reliability, product support,testing, pricing, and related topics
* Lists of sources for technical information, data, and computerprograms
* Hundreds of graphs, charts, and tables, as well as over 500references
* PowerPoint slides are available from the Wiley editorialdepartment.

Autoren/Hrsg.

Blischke, Wallace R.

Murthy, D. N. Prabhakar

Inhaltsverzeichnis

CONTEXT OF RELIABILITY ANALYSIS.
An Overview.
Illustrative Cases and Data Sets.
BASIC RELIABILITY METHODOLOGY.
Collection and Preliminary Analysis of Failure Data.
Probability Distributions for Modeling Time to Failure.
Basic Statistical Methods for Data Analysis.
RELIABILITY MODELING, ESTIMATION, AND PREDICTION.
Modeling Failures at the Component Level.
Modeling and Analysis of Multicomponent Systems.
Advanced Statistical Methods for Data Analysis.
Software Reliability.
Design of Experiments and Analysis of Variance.
Model Selection and Validation.
RELIABILITY MANAGEMENT, IMPROVEMENT, AND OPTIMIZATION.
Reliability Management.
Reliability Engineering.
Reliability Prediction and Assessment.
Reliability Improvement.
Maintenance of Unreliable Systems.
Warranties and Service Contracts.
Reliability Optimization.
EPILOGUE.
Case Studies.
Resource Materials.
Appendices.
References.
Indexes.

Über Autor(innen)

WALLACE R. BLISCHKE, PhD, Statistics, is Professor Emeritus,Marshall School of Business, University of SouthernCalifornia.
D. N. PRABHAKAR MURTHY, PhD, is Professor of Engineering andOperations Management at the University of Queensland, St. Lucia,Australia.