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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Growing Science
2015-09-01
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Online Access: | http://www.growingscience.com/dsl/Vol4/dsl_2015_20.pdf |
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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 |
work_keys_str_mv |
AT ashishkumar stochasticbehaviorofacoldstandbysystemwithmaximumrepairtime AT sonalibaweja stochasticbehaviorofacoldstandbysystemwithmaximumrepairtime AT monikasbarak stochasticbehaviorofacoldstandbysystemwithmaximumrepairtime |
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1725908535787651072 |