Materiel availability modeling and analysis for a complex Army weapon system
Materiel availability (A m ) is a new US Department of Defense Key Performance Parameter (KPP) implemented through a mandatory Sustainment Metric consisting of an Availability KPP and two supporting Key System Attributes (KSAs), materiel reliability and ownership cost. Sandia National Laboratories (...
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creator | Anderson, D J Hoffman, M J Martin, J A Gunther, D W |
description | Materiel availability (A m ) is a new US Department of Defense Key Performance Parameter (KPP) implemented through a mandatory Sustainment Metric consisting of an Availability KPP and two supporting Key System Attributes (KSAs), materiel reliability and ownership cost. Sandia National Laboratories (Sandia), in conjunction with several US Army organizations, developed the analytical foundation, assumptions, and brigade-level modeling approach to support lifecycle, fleet-wide A m modeling and analysis of a complex Army weapon system. Like operational availability (A o ), A m is dependent on reliability, but A m is also affected by other factors that do not impact A o . The largest influences on A m are technology insertion and reset downtimes. A m is a different metric from A o . Whereas A o is an operational measure, A m is more of a programmatic measure that spans a much larger timeframe, additional sources of downtime, and add itional sources of unscheduled maintenance. |
doi_str_mv | 10.1109/RAMS.2011.5754517 |
format | Conference Proceeding |
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Sandia National Laboratories (Sandia), in conjunction with several US Army organizations, developed the analytical foundation, assumptions, and brigade-level modeling approach to support lifecycle, fleet-wide A m modeling and analysis of a complex Army weapon system. Like operational availability (A o ), A m is dependent on reliability, but A m is also affected by other factors that do not impact A o . The largest influences on A m are technology insertion and reset downtimes. A m is a different metric from A o . Whereas A o is an operational measure, A m is more of a programmatic measure that spans a much larger timeframe, additional sources of downtime, and add itional sources of unscheduled maintenance.</description><identifier>ISSN: 0149-144X</identifier><identifier>ISBN: 9781424488575</identifier><identifier>ISBN: 1424488575</identifier><identifier>EISSN: 2577-0993</identifier><identifier>EISBN: 1424488567</identifier><identifier>EISBN: 9781424488551</identifier><identifier>EISBN: 1424488559</identifier><identifier>EISBN: 9781424488568</identifier><identifier>DOI: 10.1109/RAMS.2011.5754517</identifier><language>eng</language><publisher>IEEE</publisher><subject>Analytical models ; Availability ; Maintenance engineering ; materiel availability ; Measurement ; modeling and simulation ; operational availability ; reliability ; repairable systems ; Training ; Weapons</subject><ispartof>2011 Proceedings - Annual Reliability and Maintainability Symposium, 2011, p.1-6</ispartof><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5754517$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2056,27924,54919</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5754517$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Anderson, D J</creatorcontrib><creatorcontrib>Hoffman, M J</creatorcontrib><creatorcontrib>Martin, J A</creatorcontrib><creatorcontrib>Gunther, D W</creatorcontrib><title>Materiel availability modeling and analysis for a complex Army weapon system</title><title>2011 Proceedings - Annual Reliability and Maintainability Symposium</title><addtitle>RAMS</addtitle><description>Materiel availability (A m ) is a new US Department of Defense Key Performance Parameter (KPP) implemented through a mandatory Sustainment Metric consisting of an Availability KPP and two supporting Key System Attributes (KSAs), materiel reliability and ownership cost. 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Whereas A o is an operational measure, A m is more of a programmatic measure that spans a much larger timeframe, additional sources of downtime, and add itional sources of unscheduled maintenance.</description><subject>Analytical models</subject><subject>Availability</subject><subject>Maintenance engineering</subject><subject>materiel availability</subject><subject>Measurement</subject><subject>modeling and simulation</subject><subject>operational availability</subject><subject>reliability</subject><subject>repairable systems</subject><subject>Training</subject><subject>Weapons</subject><issn>0149-144X</issn><issn>2577-0993</issn><isbn>9781424488575</isbn><isbn>1424488575</isbn><isbn>1424488567</isbn><isbn>9781424488551</isbn><isbn>1424488559</isbn><isbn>9781424488568</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1kMtKAzEYheMNbGsfQNzkBab-uUwyWZZiVWgRvIC7kkn-SCTTGSaDOm9vwbo4nMUHh49DyDWDBWNgbp-X25cFB8YWpS5lyfQJmTLJpayqUulTMuGl1gUYI87I3Ojqn-nynEyASVMwKd8vyTTnTwDQXMGEbLZ2wD5iovbLxmTrmOIw0qb1mOL-g9q9P8SmMcdMQ9tTS13bdAl_6LJvRvqNtmv3NI95wOaKXASbMs6PPSNv67vX1UOxebp_XC03ReSsGgpnwKNSKjDwqnYovKm9Ehis8s64mgfu6nDQUwG9qwVIEQQAlwKYYwLEjNz87UZE3HV9bGw_7o6viF9qY1M4</recordid><startdate>201101</startdate><enddate>201101</enddate><creator>Anderson, D J</creator><creator>Hoffman, M J</creator><creator>Martin, J A</creator><creator>Gunther, D W</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>201101</creationdate><title>Materiel availability modeling and analysis for a complex Army weapon system</title><author>Anderson, D J ; Hoffman, M J ; Martin, J A ; Gunther, D W</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i218t-c90de666f10d6bce3d9bd63efa6dc9cb2f2cbf2606fedcb3043f30024301c1303</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Analytical models</topic><topic>Availability</topic><topic>Maintenance engineering</topic><topic>materiel availability</topic><topic>Measurement</topic><topic>modeling and simulation</topic><topic>operational availability</topic><topic>reliability</topic><topic>repairable systems</topic><topic>Training</topic><topic>Weapons</topic><toplevel>online_resources</toplevel><creatorcontrib>Anderson, D J</creatorcontrib><creatorcontrib>Hoffman, M J</creatorcontrib><creatorcontrib>Martin, J A</creatorcontrib><creatorcontrib>Gunther, D W</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Anderson, D J</au><au>Hoffman, M J</au><au>Martin, J A</au><au>Gunther, D W</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Materiel availability modeling and analysis for a complex Army weapon system</atitle><btitle>2011 Proceedings - Annual Reliability and Maintainability Symposium</btitle><stitle>RAMS</stitle><date>2011-01</date><risdate>2011</risdate><spage>1</spage><epage>6</epage><pages>1-6</pages><issn>0149-144X</issn><eissn>2577-0993</eissn><isbn>9781424488575</isbn><isbn>1424488575</isbn><eisbn>1424488567</eisbn><eisbn>9781424488551</eisbn><eisbn>1424488559</eisbn><eisbn>9781424488568</eisbn><abstract>Materiel availability (A m ) is a new US Department of Defense Key Performance Parameter (KPP) implemented through a mandatory Sustainment Metric consisting of an Availability KPP and two supporting Key System Attributes (KSAs), materiel reliability and ownership cost. Sandia National Laboratories (Sandia), in conjunction with several US Army organizations, developed the analytical foundation, assumptions, and brigade-level modeling approach to support lifecycle, fleet-wide A m modeling and analysis of a complex Army weapon system. Like operational availability (A o ), A m is dependent on reliability, but A m is also affected by other factors that do not impact A o . The largest influences on A m are technology insertion and reset downtimes. A m is a different metric from A o . Whereas A o is an operational measure, A m is more of a programmatic measure that spans a much larger timeframe, additional sources of downtime, and add itional sources of unscheduled maintenance.</abstract><pub>IEEE</pub><doi>10.1109/RAMS.2011.5754517</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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language | eng |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Analytical models Availability Maintenance engineering materiel availability Measurement modeling and simulation operational availability reliability repairable systems Training Weapons |
title | Materiel availability modeling and analysis for a complex Army weapon system |
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