A stochastic air combat logistics decision model for Blue versus Red opposition
Technologically advanced aircraft rely on robust and responsive logistics systems to ensure a high state of operational readiness. This paper fills a critical gap in the literature for combat models by closely relating effectiveness of the logistics system to determinants of success in combat. We pr...
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| Veröffentlicht in: | Naval research logistics 2019-12, Vol.66 (8), p.663-674 |
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| container_title | Naval research logistics |
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| creator | Seagren, Chad W. Gaver, Donald P. Jacobs, Patricia A. |
| description | Technologically advanced aircraft rely on robust and responsive logistics systems to ensure a high state of operational readiness. This paper fills a critical gap in the literature for combat models by closely relating effectiveness of the logistics system to determinants of success in combat. We present a stochastic diffusion model of an aerial battle between Blue and Red forces. The number of aircraft of Blue forces aloft and ready to be aloft on combat missions is limited by the maximum number of assigned aircraft, the reliability of aircraft subsystems, and the logistic system's ability to repair and replenish those subsystems. Our parsimonious model can illustrate important trade‐offs between logistics decision variables and operational success. |
| doi_str_mv | 10.1002/nav.21876 |
| format | Article |
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Our parsimonious model can illustrate important trade‐offs between logistics decision variables and operational success.</description><subject>Air combat</subject><subject>Aircraft</subject><subject>Aircraft reliability</subject><subject>Aircraft subsystems</subject><subject>Combat aircraft</subject><subject>diffusion model</subject><subject>Forces</subject><subject>Logistics</subject><subject>Military</subject><issn>0894-069X</issn><issn>1520-6750</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp10E1LAzEQBuAgCtbqwX8Q8ORh28nHJt1jLX5BsSAq3kI2yWrKtlmT3Ur_vVvXq6eB4Zl34EXoksCEANDpVu8mlMykOEIjklPIhMzhGI1gVvAMRPF-is5SWgOA4JCP0GqOUxvMp06tN1j7iE3YlLrFdfjwh13C1hmffNjiTbCuxlWI-KbuHN65mLqEn53FoWlC8m2PztFJpevkLv7mGL3e3b4sHrLl6v5xMV9mhjEQmXSuBM5cKSvJObXWMGFMqU1lc1E4wiXQvJSuMrnRBS8JF1JbnnPDiZVasDG6GnKbGL46l1q1Dl3c9i8VZaSPBCZpr64HZWJIKbpKNdFvdNwrAurQl-r7Ur999XY62G9fu_3_UD3N34aLH5INbRg</recordid><startdate>201912</startdate><enddate>201912</enddate><creator>Seagren, Chad W.</creator><creator>Gaver, Donald P.</creator><creator>Jacobs, Patricia A.</creator><general>John Wiley & Sons, Inc</general><general>Wiley Subscription Services, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7TB</scope><scope>7TN</scope><scope>8FD</scope><scope>F1W</scope><scope>FR3</scope><scope>H96</scope><scope>JQ2</scope><scope>KR7</scope><scope>L.G</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><orcidid>https://orcid.org/0000-0003-2854-9006</orcidid></search><sort><creationdate>201912</creationdate><title>A stochastic air combat logistics decision model for Blue versus Red opposition</title><author>Seagren, Chad W. ; Gaver, Donald P. ; Jacobs, Patricia A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3306-7eeb043eb7f7442ddc36ccbacfd569e147025b7efc5ca94b1467ad454c41d7a63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Air combat</topic><topic>Aircraft</topic><topic>Aircraft reliability</topic><topic>Aircraft subsystems</topic><topic>Combat aircraft</topic><topic>diffusion model</topic><topic>Forces</topic><topic>Logistics</topic><topic>Military</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Seagren, Chad W.</creatorcontrib><creatorcontrib>Gaver, Donald P.</creatorcontrib><creatorcontrib>Jacobs, Patricia A.</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Technology Research Database</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Naval research logistics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Seagren, Chad W.</au><au>Gaver, Donald P.</au><au>Jacobs, Patricia A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A stochastic air combat logistics decision model for Blue versus Red opposition</atitle><jtitle>Naval research logistics</jtitle><date>2019-12</date><risdate>2019</risdate><volume>66</volume><issue>8</issue><spage>663</spage><epage>674</epage><pages>663-674</pages><issn>0894-069X</issn><eissn>1520-6750</eissn><abstract>Technologically advanced aircraft rely on robust and responsive logistics systems to ensure a high state of operational readiness. 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| ispartof | Naval research logistics, 2019-12, Vol.66 (8), p.663-674 |
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| language | eng |
| recordid | cdi_proquest_journals_2314420372 |
| source | Wiley Online Library Journals Frontfile Complete; EBSCOhost Business Source Complete |
| subjects | Air combat Aircraft Aircraft reliability Aircraft subsystems Combat aircraft diffusion model Forces Logistics Military |
| title | A stochastic air combat logistics decision model for Blue versus Red opposition |
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