Advanced Reliability - Modeling Part II. Journal of Quality in Maintenance Engineering, Volume 12, Issue 4. (Electronic book text)


This e-book contains selected papers invited/presented in the Asian International Workshop on Advanced Reliability Modeling (AIWARM) which was held in Hiroshima, Japan, August 26-27, 2004. This e-book is intended to share the ideas and results from the workshop with more reliability researchers and practitioners. Seven papers were published in JQME volume 11 issue 3 in 2005 and the second batch of seven are scheduled in this issue. The papers in this e-book cover several important research topics. The topics included are: redundancy optimization using genetic algorithms; acceptance sampling based on failure-censored data; fault tree analysis; reliability design of industrial plants; performance evaluation and software reliability modeling. The papers are expected to steer further research in maintenance and reliability modeling and optimization.

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Product Description

This e-book contains selected papers invited/presented in the Asian International Workshop on Advanced Reliability Modeling (AIWARM) which was held in Hiroshima, Japan, August 26-27, 2004. This e-book is intended to share the ideas and results from the workshop with more reliability researchers and practitioners. Seven papers were published in JQME volume 11 issue 3 in 2005 and the second batch of seven are scheduled in this issue. The papers in this e-book cover several important research topics. The topics included are: redundancy optimization using genetic algorithms; acceptance sampling based on failure-censored data; fault tree analysis; reliability design of industrial plants; performance evaluation and software reliability modeling. The papers are expected to steer further research in maintenance and reliability modeling and optimization.

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Product Details

General

Imprint

Emerald Group Publishing Ltd

Country of origin

United States

Release date

October 2006

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Editors

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Format

Electronic book text

Pages

101

ISBN-13

978-6610737635

Barcode

9786610737635

Categories

LSN

6610737630



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