Group maintenance policies for an R-out-of-N system with phase-type distribution
This paper presents an extension of our earlier paper on the 1-out-of- N repairable cold standby system (i.e., Barron IIE Trans 47:1139–1151, 2015 ). Specifically, we consider an R -out-of- N repairable system where the lifetimes of the units follow phase-type distribution. The system is functioning...
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description | This paper presents an extension of our earlier paper on the 1-out-of-
N
repairable cold standby system (i.e., Barron IIE Trans 47:1139–1151,
2015
). Specifically, we consider an
R
-out-of-
N
repairable system where the lifetimes of the units follow phase-type distribution. The system is functioning if at least
R
out of its
N
components work. Each working component is subject to failure. There are fixed, unit repair, and replacement costs associated with the maintenance facility, which is carried out after a fixed lead time
τ
. A penalty cost is incurred when the number of good components decreases to
R
-
1
. We assume that the repair takes no time and repaired units are as good as new. By applying renewal theory and matrix-geometric methods, we derive the expected discounted costs under three classes of group maintenance policies:
m
-failure,
T
-age, and (
m
,
T
,
τ
), which is a refinement of the classical (
m
,
T
) policy. Illustrative examples, a comparative study and insights are provided. |
doi_str_mv | 10.1007/s10479-017-2617-x |
format | Article |
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N
repairable cold standby system (i.e., Barron IIE Trans 47:1139–1151,
2015
). Specifically, we consider an
R
-out-of-
N
repairable system where the lifetimes of the units follow phase-type distribution. The system is functioning if at least
R
out of its
N
components work. Each working component is subject to failure. There are fixed, unit repair, and replacement costs associated with the maintenance facility, which is carried out after a fixed lead time
τ
. A penalty cost is incurred when the number of good components decreases to
R
-
1
. We assume that the repair takes no time and repaired units are as good as new. By applying renewal theory and matrix-geometric methods, we derive the expected discounted costs under three classes of group maintenance policies:
m
-failure,
T
-age, and (
m
,
T
,
τ
), which is a refinement of the classical (
m
,
T
) policy. Illustrative examples, a comparative study and insights are provided.</description><identifier>ISSN: 0254-5330</identifier><identifier>EISSN: 1572-9338</identifier><identifier>DOI: 10.1007/s10479-017-2617-x</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Business and Management ; Cold ; Combinatorics ; Failure ; Lead time ; Maintenance ; Maintenance management ; Management science ; Nuclear power plants ; Operations research ; Operations Research/Decision Theory ; Original Paper ; Policies ; Preventive maintenance ; Production management ; Production scheduling ; Repair ; Theory of Computation</subject><ispartof>Annals of operations research, 2018-02, Vol.261 (1-2), p.79-105</ispartof><rights>Springer Science+Business Media, LLC 2017</rights><rights>COPYRIGHT 2018 Springer</rights><rights>Annals of Operations Research is a copyright of Springer, (2017). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c490t-38ff33e44b7cef73751abc68e0db4d06528faa8744b05bf1af70709b09481b423</citedby><cites>FETCH-LOGICAL-c490t-38ff33e44b7cef73751abc68e0db4d06528faa8744b05bf1af70709b09481b423</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10479-017-2617-x$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10479-017-2617-x$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Barron, Yonit</creatorcontrib><title>Group maintenance policies for an R-out-of-N system with phase-type distribution</title><title>Annals of operations research</title><addtitle>Ann Oper Res</addtitle><description>This paper presents an extension of our earlier paper on the 1-out-of-
N
repairable cold standby system (i.e., Barron IIE Trans 47:1139–1151,
2015
). Specifically, we consider an
R
-out-of-
N
repairable system where the lifetimes of the units follow phase-type distribution. The system is functioning if at least
R
out of its
N
components work. Each working component is subject to failure. There are fixed, unit repair, and replacement costs associated with the maintenance facility, which is carried out after a fixed lead time
τ
. A penalty cost is incurred when the number of good components decreases to
R
-
1
. We assume that the repair takes no time and repaired units are as good as new. By applying renewal theory and matrix-geometric methods, we derive the expected discounted costs under three classes of group maintenance policies:
m
-failure,
T
-age, and (
m
,
T
,
τ
), which is a refinement of the classical (
m
,
T
) policy. Illustrative examples, a comparative study and insights are provided.</description><subject>Business and Management</subject><subject>Cold</subject><subject>Combinatorics</subject><subject>Failure</subject><subject>Lead time</subject><subject>Maintenance</subject><subject>Maintenance management</subject><subject>Management science</subject><subject>Nuclear power plants</subject><subject>Operations research</subject><subject>Operations Research/Decision Theory</subject><subject>Original Paper</subject><subject>Policies</subject><subject>Preventive maintenance</subject><subject>Production management</subject><subject>Production scheduling</subject><subject>Repair</subject><subject>Theory of 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maintenance policies for an R-out-of-N system with phase-type distribution</title><author>Barron, Yonit</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c490t-38ff33e44b7cef73751abc68e0db4d06528faa8744b05bf1af70709b09481b423</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Business and Management</topic><topic>Cold</topic><topic>Combinatorics</topic><topic>Failure</topic><topic>Lead time</topic><topic>Maintenance</topic><topic>Maintenance management</topic><topic>Management science</topic><topic>Nuclear power plants</topic><topic>Operations research</topic><topic>Operations Research/Decision Theory</topic><topic>Original Paper</topic><topic>Policies</topic><topic>Preventive maintenance</topic><topic>Production management</topic><topic>Production scheduling</topic><topic>Repair</topic><topic>Theory of Computation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Barron, Yonit</creatorcontrib><collection>CrossRef</collection><collection>Gale Business: Insights</collection><collection>ProQuest Central (Corporate)</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection</collection><collection>Science Database (Alumni Edition)</collection><collection>Computing Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 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Central China</collection><collection>Engineering collection</collection><collection>ProQuest Central Basic</collection><jtitle>Annals of operations research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Barron, Yonit</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Group maintenance policies for an R-out-of-N system with phase-type distribution</atitle><jtitle>Annals of operations research</jtitle><stitle>Ann Oper Res</stitle><date>2018-02-01</date><risdate>2018</risdate><volume>261</volume><issue>1-2</issue><spage>79</spage><epage>105</epage><pages>79-105</pages><issn>0254-5330</issn><eissn>1572-9338</eissn><abstract>This paper presents an extension of our earlier paper on the 1-out-of-
N
repairable cold standby system (i.e., Barron IIE Trans 47:1139–1151,
2015
). Specifically, we consider an
R
-out-of-
N
repairable system where the lifetimes of the units follow phase-type distribution. The system is functioning if at least
R
out of its
N
components work. Each working component is subject to failure. There are fixed, unit repair, and replacement costs associated with the maintenance facility, which is carried out after a fixed lead time
τ
. A penalty cost is incurred when the number of good components decreases to
R
-
1
. We assume that the repair takes no time and repaired units are as good as new. By applying renewal theory and matrix-geometric methods, we derive the expected discounted costs under three classes of group maintenance policies:
m
-failure,
T
-age, and (
m
,
T
,
τ
), which is a refinement of the classical (
m
,
T
) policy. Illustrative examples, a comparative study and insights are provided.</abstract><cop>New York</cop><pub>Springer US</pub><doi>10.1007/s10479-017-2617-x</doi><tpages>27</tpages></addata></record> |
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issn | 0254-5330 1572-9338 |
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source | Business Source Complete (EBSCO); SpringerLink (Online service) |
subjects | Business and Management Cold Combinatorics Failure Lead time Maintenance Maintenance management Management science Nuclear power plants Operations research Operations Research/Decision Theory Original Paper Policies Preventive maintenance Production management Production scheduling Repair Theory of Computation |
title | Group maintenance policies for an R-out-of-N system with phase-type distribution |
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