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:	TS Manufactures
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id	my-utm-ep.41989
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spelling	my-utm-ep.419892020-07-14T05:48:52Z Solving reliability redundancy allocation problem using genetic algorithm 2013 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 http://eprints.utm.my/id/eprint/41989/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:81495?queryType=vitalDismax&query=Solving+rehability+redundancy+allocation+problem+using+&public=true masters Universiti Teknologi Malaysia, Faculty of Mechanical Engineering Faculty of Mechanical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
topic	TS Manufactures
spellingShingle	TS Manufactures Miriha, Seyyed Masih Solving reliability redundancy allocation problem using genetic algorithm
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
format	Thesis
qualification_level	Master's degree
author	Miriha, Seyyed Masih
author_facet	Miriha, Seyyed Masih
author_sort	Miriha, Seyyed Masih
title	Solving reliability redundancy allocation problem using genetic algorithm
title_short	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_sort	solving reliability redundancy allocation problem using genetic algorithm
granting_institution	Universiti Teknologi Malaysia, Faculty of Mechanical Engineering
granting_department	Faculty of Mechanical Engineering
publishDate	2013
_version_	1747816664796233728

Solving reliability redundancy allocation problem using genetic algorithm

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