Reliability Optimization by Considering Time‐Dependent Reliability for Components

Reliability optimization is an important and challenging topic both in engineering and industrial situations as its objective is to design a highly reliable system that operates more safely and efficiently under constraints. Redundancy allocation problem (RAP), as one of the most well‐known problems...

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Published inQuality and reliability engineering international Vol. 33; no. 8; pp. 1641 - 1654
Main Authors Abouei Ardakan, Mostafa, Mirzaei, Zahra, Zeinal Hamadani, Ali, Elsayed, Elsayed A.
Format Journal Article
LanguageEnglish
Published Bognor Regis Wiley Subscription Services, Inc 01.12.2017
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Abstract Reliability optimization is an important and challenging topic both in engineering and industrial situations as its objective is to design a highly reliable system that operates more safely and efficiently under constraints. Redundancy allocation problem (RAP), as one of the most well‐known problems in reliability optimization, has been the subject of many studies over the past few decades. RAP aims to find the best structure and the optimal redundancy level for each subsystem. The main goal in RAP is to maximize the overall system reliability considering some constraints. In all the previous RAP studies, the reliability of the components is considered constant during the system's mission time. However, reliability is time‐dependent and needs to be considered and monitored during the system's lifetime. In this paper, the reliability of components is considered as a function of time, and the RAP is reformulated by introducing a new criterion called ‘mission design life’ defined as the integration of the system reliability function during the mission time. We propose an efficient algorithm for this problem and demonstrate its performance using two examples. Furthermore, we demonstrate the importance of the new approach using a benchmark problem in RAP. Copyright © 2017 John Wiley & Sons, Ltd.
AbstractList Reliability optimization is an important and challenging topic both in engineering and industrial situations as its objective is to design a highly reliable system that operates more safely and efficiently under constraints. Redundancy allocation problem (RAP), as one of the most well‐known problems in reliability optimization, has been the subject of many studies over the past few decades. RAP aims to find the best structure and the optimal redundancy level for each subsystem. The main goal in RAP is to maximize the overall system reliability considering some constraints. In all the previous RAP studies, the reliability of the components is considered constant during the system's mission time. However, reliability is time‐dependent and needs to be considered and monitored during the system's lifetime. In this paper, the reliability of components is considered as a function of time, and the RAP is reformulated by introducing a new criterion called ‘mission design life’ defined as the integration of the system reliability function during the mission time. We propose an efficient algorithm for this problem and demonstrate its performance using two examples. Furthermore, we demonstrate the importance of the new approach using a benchmark problem in RAP. Copyright © 2017 John Wiley & Sons, Ltd.
Author Zeinal Hamadani, Ali
Mirzaei, Zahra
Elsayed, Elsayed A.
Abouei Ardakan, Mostafa
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Snippet Reliability optimization is an important and challenging topic both in engineering and industrial situations as its objective is to design a highly reliable...
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SubjectTerms Component reliability
Design engineering
mission design life
Mission planning
Optimization
Redundancy
redundancy allocation problem
Reliability engineering
reliability optimization
System reliability
Time dependence
time dependent reliability
Title Reliability Optimization by Considering Time‐Dependent Reliability for Components
URI https://onlinelibrary.wiley.com/doi/abs/10.1002%2Fqre.2132
https://www.proquest.com/docview/1968954721
Volume 33
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