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1GU54
In System reliability design, it is essential to know the effectiveness of different design options in improving system reliability. Various Reliability models techniques have been created to evaluate these parameters by applying both analytic and simulation techniques, and this paper reviews those related primarily to reliability optimization design problems. The purpose, type of models used, type of systems modeled, heuristic and metaheauristic techniques will be discussed and serviceability parameters are surveyed. Examples of some of the key modeling issues such as RAP, UMGF and MSS , similarities and differences between various models and tools and can be help to aid in selecting models and tools for a particular tools for a particular application or designing needs for future needs.
Belal Ayyoub. 2014. \u201cSystem Reliability Design : A Survay\u201d. Global Journal of Research in Engineering - I: Numerical Methods GJRE-I Volume 14 (GJRE Volume 14 Issue I2): .
Crossref Journal DOI 10.17406/gjre
Print ISSN 0975-5861
e-ISSN 2249-4596
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Total Score: 101
Country: Jordan
Subject: Global Journal of Research in Engineering - I: Numerical Methods
Authors: Belal Ayyoub (PhD/Dr. count: 0)
View Count (all-time): 192
Total Views (Real + Logic): 4417
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Publish Date: 2014 11, Fri
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In System reliability design, it is essential to know the effectiveness of different design options in improving system reliability. Various Reliability models techniques have been created to evaluate these parameters by applying both analytic and simulation techniques, and this paper reviews those related primarily to reliability optimization design problems. The purpose, type of models used, type of systems modeled, heuristic and metaheauristic techniques will be discussed and serviceability parameters are surveyed. Examples of some of the key modeling issues such as RAP, UMGF and MSS , similarities and differences between various models and tools and can be help to aid in selecting models and tools for a particular tools for a particular application or designing needs for future needs.
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