Solving reliability redundancy allocation problem using genetic algorithm

Reliability is a critical subject in engineering field. Increasing system’s reliability is one of the challenging parts of engineering. There are several structures for reliability’s model and one of them is k-out-of-n. Redundancy allocation problem (RAP) is a method to improve system reliability. I...

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Main Author: Miriha, Seyyed Masih
Format: Thesis
Published: 2013
Subjects:
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author Miriha, Seyyed Masih
author_facet Miriha, Seyyed Masih
author_sort Miriha, Seyyed Masih
collection ePrints
description Reliability is a critical subject in engineering field. Increasing system’s reliability is one of the challenging parts of engineering. There are several structures for reliability’s model and one of them is k-out-of-n. Redundancy allocation problem (RAP) is a method to improve system reliability. It is divided into two types, namely, active and standby subsystems. Standby subsystem is divided into Cold, Warm and Hot standby. This study is focused on solving redundancy allocation reliability model by using genetic algorithm (GA). A k-out-of-n reliability’s system is chosen as a case study which was introduced by Coit (2003). Failure rate for each subsystem is dependent on the number of components which is used in the system design. Cold standby and active strategies are used in the redundancy allocation problem (RAP). The study has proposed the best setting for the RAP based on GA. The best setting among the investigated scenarios is the designing with cold standby strategy; experimental results give beta value and number of component for each subsystem. for system reliability at 0.97661 is the best reliability value given by the GA
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spelling utm.eprints-419892020-07-14T05:48:52Z http://eprints.utm.my/41989/ Solving reliability redundancy allocation problem using genetic algorithm Miriha, Seyyed Masih TS Manufactures Reliability is a critical subject in engineering field. Increasing system’s reliability is one of the challenging parts of engineering. There are several structures for reliability’s model and one of them is k-out-of-n. Redundancy allocation problem (RAP) is a method to improve system reliability. It is divided into two types, namely, active and standby subsystems. Standby subsystem is divided into Cold, Warm and Hot standby. This study is focused on solving redundancy allocation reliability model by using genetic algorithm (GA). A k-out-of-n reliability’s system is chosen as a case study which was introduced by Coit (2003). Failure rate for each subsystem is dependent on the number of components which is used in the system design. Cold standby and active strategies are used in the redundancy allocation problem (RAP). The study has proposed the best setting for the RAP based on GA. The best setting among the investigated scenarios is the designing with cold standby strategy; experimental results give beta value and number of component for each subsystem. for system reliability at 0.97661 is the best reliability value given by the GA 2013 Thesis NonPeerReviewed Miriha, Seyyed Masih (2013) Solving reliability redundancy allocation problem using genetic algorithm. Masters thesis, Universiti Teknologi Malaysia, Faculty of Mechanical Engineering. http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:81495?queryType=vitalDismax&query=Solving+rehability+redundancy+allocation+problem+using+&public=true
spellingShingle TS Manufactures
Miriha, Seyyed Masih
Solving reliability redundancy allocation problem using genetic algorithm
title Solving reliability redundancy allocation problem using genetic algorithm
title_full Solving reliability redundancy allocation problem using genetic algorithm
title_fullStr Solving reliability redundancy allocation problem using genetic algorithm
title_full_unstemmed Solving reliability redundancy allocation problem using genetic algorithm
title_short Solving reliability redundancy allocation problem using genetic algorithm
title_sort solving reliability redundancy allocation problem using genetic algorithm
topic TS Manufactures
work_keys_str_mv AT mirihaseyyedmasih solvingreliabilityredundancyallocationproblemusinggeneticalgorithm