Utvidet returrett til 31. januar 2025

Resources Required to Meet the U.S. Army Reserve's Enlisted Recruiting Requirements Under Alternative Recruiting Goals, Conditions, and Eligibility Policies

Om Resources Required to Meet the U.S. Army Reserve's Enlisted Recruiting Requirements Under Alternative Recruiting Goals, Conditions, and Eligibility Policies

The U.S. Army has several levers at its disposal to try to meet its recruiting mission, with resources jointly used for both Regular Army (RA) and U.S. Army Reserve (USAR) accessions. These resources differ in their cost per additional recruit produced and the lead time necessary to change individual resourcing levels and affect enlistments. The Army can also modify recruit eligibility policies to help it achieve its accession requirement within available resources. Recruiting resources and enlistment eligibility policies work together as a system to produce RA and USAR recruits, and understanding their interactions under varying requirements and environments enables decisionmakers to use their limited resources more effectively and efficiently to achieve the Army's accession requirements. The authors present a model-the Reserve Recruiting Resource Model (RRRM)-designed to optimize the resource levels and mix needed to achieve future USAR recruiting goals under changing enlisted accession requirements and recruiting environments and alternative eligibility policies for potential recruits. The model also enables comparison of alternative courses of action. This research builds on prior work by the RAND Arroyo Center on the effectiveness and lead times of alternative recruiting resources. In their results, the authors discuss using the RRRM to predict annual accessions from a specified baseline resourcing plan and provide several examples of how the tool can be used to assess potential recruiting resource and policy trade-offs or to prepare for alternative recruiting requirements via optimization of recruiting resources used for USAR recruiting.

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  • Språk:
  • Engelsk
  • ISBN:
  • 9781977409560
  • Bindende:
  • Paperback
  • Sider:
  • 98
  • Utgitt:
  • 15. august 2022
  • Dimensjoner:
  • 152x5x229 mm.
  • Vekt:
  • 145 g.
  • BLACK NOVEMBER
Leveringstid: 2-4 uker
Forventet levering: 21. desember 2024
Utvidet returrett til 31. januar 2025

Beskrivelse av Resources Required to Meet the U.S. Army Reserve's Enlisted Recruiting Requirements Under Alternative Recruiting Goals, Conditions, and Eligibility Policies

The U.S. Army has several levers at its disposal to try to meet its recruiting mission, with resources jointly used for both Regular Army (RA) and U.S. Army Reserve (USAR) accessions. These resources differ in their cost per additional recruit produced and the lead time necessary to change individual resourcing levels and affect enlistments. The Army can also modify recruit eligibility policies to help it achieve its accession requirement within available resources. Recruiting resources and enlistment eligibility policies work together as a system to produce RA and USAR recruits, and understanding their interactions under varying requirements and environments enables decisionmakers to use their limited resources more effectively and efficiently to achieve the Army's accession requirements. The authors present a model-the Reserve Recruiting Resource Model (RRRM)-designed to optimize the resource levels and mix needed to achieve future USAR recruiting goals under changing enlisted accession requirements and recruiting environments and alternative eligibility policies for potential recruits. The model also enables comparison of alternative courses of action. This research builds on prior work by the RAND Arroyo Center on the effectiveness and lead times of alternative recruiting resources. In their results, the authors discuss using the RRRM to predict annual accessions from a specified baseline resourcing plan and provide several examples of how the tool can be used to assess potential recruiting resource and policy trade-offs or to prepare for alternative recruiting requirements via optimization of recruiting resources used for USAR recruiting.

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