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Reliability

Modeling, Prediction, and Optimization

Blischke, Wallace R. / Murthy, D. N. Prabhakar

Wiley Series in Probability and Statistics

Cover

1. Auflage April 2000
XXVIII, 820 Seiten, Hardcover
Wiley & Sons Ltd

ISBN: 978-0-471-18450-8
John Wiley & Sons

Kurzbeschreibung

Theoretische, statistische, betriebs- und managementorientierte Aspekte der Zuverlässigkeitsanalyse - alles in einem Band! Die Autoren erläutern Ihnen den Ablauf von Zuverlässigkeitsprüfungen in den verschiedenen Stadien eines Projekts vom ingenieurtechnischen Design über die Herstellung bis zum effizienten Umgang mit zufälligen Ereignissen. Mit zahlreichen Fall- und Datenbeispielen aus der Praxis! (spring 00)

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Zuverlässigkeitsanalyse während des gesamten Lebenszyklus eines Produktes: Alle theoretischen, statistischen sowie betriebs- und managementrelevanten Aspekte dieses Themas werden in diesem Handbuch besprochen. Die Autoren helfen beim Verständnis der Zuverlässigkeit als komplexes Phänomen, das von den Gesetzmäßigkeiten der Physik, des technischen Designs, der Herstellungsprozesse sowie von den Entscheidungen des Managements und zufälligen Ereignissen gleichermaßen beeinflußt wird. Ein ausgesprochen interdisziplinäres Buch, ergänzt durch viele Fallbeispiele und reales Datenmaterial! (11/00)

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.
This book provides a comprehensive overview of both qualitative and quantitative aspects of reliability. Mathematical and statistical concepts related to reliability modeling and analysis are presented along with important bibliography and a listing of resources which includes journals, reliability standards, other publications, and databases. The coverage of individual topics is not always deep, but this should be a valuable reference for any engineer or statisticial working in reliability. (Short Book Reviews, Vol.20, No. 3, December 2000)
"...this should be a valuable reference for any engineer or statistician working in reliability." (Short Book Reviews, Vol. 20, No. 3, December 2000)
This book presents a remarkably broad framework for the analysis of the technical and commercial aspects of product reliability.... Written by two highly respected experts in the field, this practical work provides engineers, operations managers, and applied statisticians with both qualitative and quantitative tools for solving a variety of complex, real-world reliability problems. (Zentralblatt Math, Volume 945, No 20, 2000)
"...a comprehensive overview..." (Short Book Reviews, December 2000)
"...an excellent textbook for an advanced course in biostatistics and also an indispensable reference for biostatisticians and epidemiologists" (Short Book Reviews, December 2000)
"...an excellent book, distinguished by excellence of exposition, breadth and comprehensiveness of topical overage, relevance, number and importance of examples, depth of references, and quality of exercises...will become one of the standard references on reliability...so comprehensive...it would provide material for more than a two-semester graduate sequence...will find a warm welcome in the best graduate programs. I strongly recommend it." (Technometrics, Vol. 43, No. 4, November 2001)
"I would recommend this book to practitioners and as a graduate level book." (Journal of the American Statistical Association, December 2001)
WALLACE R. BLISCHKE, PhD, Statistics, is Professor Emeritus, Marshall School of Business, University of Southern California.

D. N. PRABHAKAR MURTHY, PhD, is Professor of Engineering and Operations Management at the University of Queensland, St. Lucia, Australia.