Stochastic behavior of a cold standby system with maximum repair time

The main aim of the present paper is to analyze the stochastic behavior of a cold standby system with concept of preventive maintenance, priority and maximum repair time. For this purpose, a stochastic model is developed in which initially one unit is operative and other is kept as cold standby. The...

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Main Authors: Ashish Kumar, Sonali Baweja, Monika S. Barak
Format: Article
Language:English
Published: Growing Science 2015-09-01
Series:Decision Science Letters
Subjects:
Online Access:http://www.growingscience.com/dsl/Vol4/dsl_2015_20.pdf
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spelling doaj-626e7f70dc074ce1bd88608ffade6d092020-11-24T21:44:50ZengGrowing ScienceDecision Science Letters1929-58041929-58122015-09-014456957810.5267/j.dsl.2015.5.002Stochastic behavior of a cold standby system with maximum repair timeAshish KumarSonali BawejaMonika S. Barak The main aim of the present paper is to analyze the stochastic behavior of a cold standby system with concept of preventive maintenance, priority and maximum repair time. For this purpose, a stochastic model is developed in which initially one unit is operative and other is kept as cold standby. There is a single server who visits the system immediately as and when required. The server takes the unit under preventive maintenance after a maximum operation time at normal mode if one standby unit is available for operation. If the repair of the failed unit is not possible up to a maximum repair time, failed unit is replaced by new one. The failure time, maximum operation time and maximum repair time distributions of the unit are considered as exponentially distributed while repair and maintenance time distributions are considered as arbitrary. All random variables are statistically independent and repairs are perfect. Various measures of system effectiveness are obtained by using the technique of semi-Markov process and RPT. To highlight the importance of the study numerical results are also obtained for MTSF, availability and profit function.http://www.growingscience.com/dsl/Vol4/dsl_2015_20.pdfCold standby systemPreventive maintenancePriorityMaximum operation and repair times
collection DOAJ
language English
format Article
sources DOAJ
author Ashish Kumar
Sonali Baweja
Monika S. Barak
spellingShingle Ashish Kumar
Sonali Baweja
Monika S. Barak
Stochastic behavior of a cold standby system with maximum repair time
Decision Science Letters
Cold standby system
Preventive maintenance
Priority
Maximum operation and repair times
author_facet Ashish Kumar
Sonali Baweja
Monika S. Barak
author_sort Ashish Kumar
title Stochastic behavior of a cold standby system with maximum repair time
title_short Stochastic behavior of a cold standby system with maximum repair time
title_full Stochastic behavior of a cold standby system with maximum repair time
title_fullStr Stochastic behavior of a cold standby system with maximum repair time
title_full_unstemmed Stochastic behavior of a cold standby system with maximum repair time
title_sort stochastic behavior of a cold standby system with maximum repair time
publisher Growing Science
series Decision Science Letters
issn 1929-5804
1929-5812
publishDate 2015-09-01
description The main aim of the present paper is to analyze the stochastic behavior of a cold standby system with concept of preventive maintenance, priority and maximum repair time. For this purpose, a stochastic model is developed in which initially one unit is operative and other is kept as cold standby. There is a single server who visits the system immediately as and when required. The server takes the unit under preventive maintenance after a maximum operation time at normal mode if one standby unit is available for operation. If the repair of the failed unit is not possible up to a maximum repair time, failed unit is replaced by new one. The failure time, maximum operation time and maximum repair time distributions of the unit are considered as exponentially distributed while repair and maintenance time distributions are considered as arbitrary. All random variables are statistically independent and repairs are perfect. Various measures of system effectiveness are obtained by using the technique of semi-Markov process and RPT. To highlight the importance of the study numerical results are also obtained for MTSF, availability and profit function.
topic Cold standby system
Preventive maintenance
Priority
Maximum operation and repair times
url http://www.growingscience.com/dsl/Vol4/dsl_2015_20.pdf
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AT sonalibaweja stochasticbehaviorofacoldstandbysystemwithmaximumrepairtime
AT monikasbarak stochasticbehaviorofacoldstandbysystemwithmaximumrepairtime
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