Stochastic Models in Reliability and Maintenance
By: edited by Shunji Osaki
Publisher: Springer Berlin Heidelberg
Published: 2002
Place of publication: Berlin, Heidelberg
Language: eng
Format: [electronic resource] /
Number of pages: 338
ISBN-13: 9783642077258; 9783540248088
Subjects: Distribution (Probability theory); Economics; Industrial engineering; Operations research
Description: This book contains 12 contributions on stochastic models in reliability and maintenance. Written by the leading researchers on each topic, each contribution surveys the current status on stochastic models emphasizing mathematical formulation and optimization applications. Each contribution is self-contained and has a thorough bibliography. The topics include renewal processes, semi-Markov processes, Markovian deterioration models, maintenance and replacement models, software reliability models and Monte-Carlo simulation. This book provides researchers, reliability engineers and graduate students with the current status of the field and future developments of the subject.
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Table of contents: title: T. Dohi, N. Kaio, S. Osaki: Renewal Processes and Their Computational Aspects; title: M. Ohnishi: Stochastic Orders in Reliability Theory; title: N. Kaio, T. Dohi, S. Osaki: Classical Maintenance Models; title: A. Christer: A Review of Delay Time Analysis for Modelling Plant Maintenance; title: T. Nakagawa: Imperfect Preventive Maintenance Models; title: M. Kijima: Generalized Renewal Processes and General Repair Models; title: T. Nakagawa: Two-Uni Redundant Models; title: H. Kawai, J. Koyanagi, M. Ohnishi: Optimal Maintenance Problems for Markovian Deteriorating Systems; title: A. Csenki: Transient Analysis of Semi-Markov Reliability Models; title: S. Yamada: Software Reliability Models; title: K. Yasui, T. Nakagawa, H. Sandoh: Reliability Models in Data Communication Systems; title: C. Papadopoulos, N. Limnios: Quick Monte Carlo Methods in Stochastic Systems and Reliability.