Reliability and cost analysis of series system models using fuzzy parametric geometric programming

In this paper, we have discussed series system models with system reliability and cost. We have considered two types of the model; the former focuses on a problem of optimal reliability for series system with cost constraint and the latter is a center system cost model with reliability goal. It is n...

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Bibliographic Details
Published inFuzzy information and engineering Vol. 2; no. 4; pp. 399 - 411
Main Authors Mahapatra, B. S., Mahapatra, G. S.
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer-Verlag 01.12.2010
Taylor & Francis Group
Subjects
Component reliability
Computational Intelligence
Cost analysis
Engineering
Fuzzy systems
Mathematical models
Mathematical programming
Original Article
Reliability analysis
System reliability
Fuzzy parametric geometric programming
Fuzzy sets
Series system
Reliability
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Summary:In this paper, we have discussed series system models with system reliability and cost. We have considered two types of the model; the former focuses on a problem of optimal reliability for series system with cost constraint and the latter is a center system cost model with reliability goal. It is necessary to improve the reliability of the system under limited available cost of system and also to minimize the systems cost subject to target goal of the reliability. Practically, cost of components has always been imprecise with vague in nature. So they are taken as fuzzy in nature and the reliability models are formulated as a fuzzy parametric geometric programming problem. Numerical examples are given to illustrate the model through fuzzy parametric geometric programming technique.
Bibliography:ObjectType-Article-1
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ISSN:1616-8658
1616-8666
DOI:10.1007/s12543-010-0058-1