A Novel Analytic Technique for the Service Station Reliability in a Discrete-Time Repairable Queue

This paper presents a decomposition technique for the service station reliability in a discrete-time repairable GeomX/G/1 queueing system, in which the server takes exhaustive service and multiple adaptive delayed vacation discipline. Using such a novel analytic technique, some important reliability...

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Main Authors: Renbin Liu, Yinghui Tang
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2013/821684
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author Renbin Liu
Yinghui Tang
author_facet Renbin Liu
Yinghui Tang
author_sort Renbin Liu
collection DOAJ
description This paper presents a decomposition technique for the service station reliability in a discrete-time repairable GeomX/G/1 queueing system, in which the server takes exhaustive service and multiple adaptive delayed vacation discipline. Using such a novel analytic technique, some important reliability indices and reliability relation equations of the service station are derived. Furthermore, the structures of the service station indices are also found. Finally, special cases and numerical examples validate the derived results and show that our analytic technique is applicable to reliability analysis of some complex discrete-time repairable bulk arrival queueing systems.
format Article
id doaj-art-2555378e32b744b4a46ae4e7946ce0e4
institution Kabale University
issn 1110-757X
1687-0042
language English
publishDate 2013-01-01
publisher Wiley
record_format Article
series Journal of Applied Mathematics
spelling doaj-art-2555378e32b744b4a46ae4e7946ce0e42025-08-20T03:54:52ZengWileyJournal of Applied Mathematics1110-757X1687-00422013-01-01201310.1155/2013/821684821684A Novel Analytic Technique for the Service Station Reliability in a Discrete-Time Repairable QueueRenbin Liu0Yinghui Tang1School of Mathematics and Statistics, Chongqing University of Technology, Chongqing 400054, ChinaSchool of Mathematics and Software Science, Sichuan Normal University, Chengdu 610066, ChinaThis paper presents a decomposition technique for the service station reliability in a discrete-time repairable GeomX/G/1 queueing system, in which the server takes exhaustive service and multiple adaptive delayed vacation discipline. Using such a novel analytic technique, some important reliability indices and reliability relation equations of the service station are derived. Furthermore, the structures of the service station indices are also found. Finally, special cases and numerical examples validate the derived results and show that our analytic technique is applicable to reliability analysis of some complex discrete-time repairable bulk arrival queueing systems.http://dx.doi.org/10.1155/2013/821684
spellingShingle Renbin Liu
Yinghui Tang
A Novel Analytic Technique for the Service Station Reliability in a Discrete-Time Repairable Queue
Journal of Applied Mathematics
title A Novel Analytic Technique for the Service Station Reliability in a Discrete-Time Repairable Queue
title_full A Novel Analytic Technique for the Service Station Reliability in a Discrete-Time Repairable Queue
title_fullStr A Novel Analytic Technique for the Service Station Reliability in a Discrete-Time Repairable Queue
title_full_unstemmed A Novel Analytic Technique for the Service Station Reliability in a Discrete-Time Repairable Queue
title_short A Novel Analytic Technique for the Service Station Reliability in a Discrete-Time Repairable Queue
title_sort novel analytic technique for the service station reliability in a discrete time repairable queue
url http://dx.doi.org/10.1155/2013/821684
work_keys_str_mv AT renbinliu anovelanalytictechniquefortheservicestationreliabilityinadiscretetimerepairablequeue
AT yinghuitang anovelanalytictechniquefortheservicestationreliabilityinadiscretetimerepairablequeue
AT renbinliu novelanalytictechniquefortheservicestationreliabilityinadiscretetimerepairablequeue
AT yinghuitang novelanalytictechniquefortheservicestationreliabilityinadiscretetimerepairablequeue