Constrained Suitability Optimization of Military Officer Assignments

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dc.contributor.author Matthews, Spencer
dc.contributor.author Fletcher, Matthew
dc.contributor.author King, Russell E.
dc.contributor.author McConnell, Brandon M.
dc.date.accessioned 2021-09-30T19:10:36Z
dc.date.available 2021-09-30T19:10:36Z
dc.date.issued 2021
dc.identifier.citation Matthews, Spencer; Fletcher, Matthew; King, Russell E.; McConnell, Brandon M. 2021. Constrained Suitability Optimization of Military Officer Assignments. Poster presentation. Presented at the 2021 National Conference of Undergraduate Research (NCUR), virtual. 12–14 April 2021. en_US
dc.identifier.uri https://www.lib.ncsu.edu/resolver/1840.20/39108
dc.description.abstract Every year, the US Army spends millions of dollars moving officers between duty stations. There is currently a lack of planning and decision support models available to assist branch managers with managing this talent pool while considering both readiness and cost tradeoffs. We consider the problem of assigning US Army Officers to jobs based on their talent profile. First, we transform and map a dataset of officers and jobs into a usable dataset. Then we introduce a general assignment problem in the form of a mixed integer linear program where talent requirements and budget are constraints. Finally, we optimize the model in order to get the best possible match of officer to job subject to budget considerations. Ongoing research is already underway to support visualizing tradeoffs between overall quality of match and cost, and identifying distinct solution sets for further consideration. en_US
dc.language.iso en_US en_US
dc.subject Military officer assignment en_US
dc.subject US Army en_US
dc.subject Optimization en_US
dc.title Constrained Suitability Optimization of Military Officer Assignments en_US
dc.type Other en_US


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