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Considering a Cadre Augmented Army - RAND Corporation

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-133- A Budgetary Analysis of <strong>Cadre</strong><br />

Figure C.1—AC Stress Comparison for Expansions by Initial Distribution of Forces<br />

6 <strong>Cadre</strong> BCT Expansion<br />

9 <strong>Cadre</strong> BCT Expansion<br />

10%<br />

9%<br />

15%<br />

13%<br />

% of AC Deployments<br />

5%<br />

2%<br />

3%<br />

6%<br />

6%<br />

Uniform<br />

All Rested<br />

% of AC Deployments<br />

10%<br />

5%<br />

5%<br />

5%<br />

9%<br />

Uniform<br />

All Rested<br />

0%<br />

1%<br />

12 16 or fewer 20 or fewer<br />

0%<br />

1%<br />

0%<br />

12 16 or fewer 20 or fewer<br />

Months at Home Between Deployments<br />

Months at Home Between Deployments<br />

For the 18 cadre BCT expansion, the force is not capable of meeting the<br />

requirements without deploying AC units with less than one year at home when forces are<br />

distributed uniformly at the beginning of a war. Overall, we see that the initial distribution of<br />

forces affects the results in different ways. In the six and nine cadre BCT expansions, having<br />

the forces distributed uniformly at the beginning of the war reduces stress on the AC relative<br />

to having all units at home for more than two years. One possible reason for this is that<br />

having the forces uniformly distributed allows the assignment algorithm to smooth<br />

deployments rather than assigning large blocks of forces at once, which could lead to high<br />

stress on the AC. However, in the 18 BCT case, we find that having the force distributed<br />

uniformly at the beginning of the war prevents the assignment algorithm from reaching a<br />

feasible solution.<br />

C.1.2—Changing the Mix of Force with <strong>Cadre</strong><br />

Changing to a uniform initial distribution of forces does not affect the stress on the<br />

AC for the 2011 force. Changing to a uniform initial distribution for the <strong>Cadre</strong>Mix causes the<br />

assignment algorithm to be infeasible. Although assuming a uniform distribution has no

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