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Considering a Cadre Augmented Army - RAND Corporation

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-124- A Budgetary Analysis of <strong>Cadre</strong><br />

incrementally looks for AC units to deploy until it reaches the minimum number of periods<br />

at home for the AC specified by the user. If after deploying all AC units at home more than<br />

the minimum, the requirement for deployed AC forces is still not met, then the algorithm<br />

will redeploy AC units already deployed. If the requirement for deployed AC forces is still<br />

not met, the model will display the error message shown in Figure B.13, which displays the<br />

period in which the algorithm was unable to meet the requirement for AC forces.<br />

Figure B.13—Failed Force Assignment Message<br />

If the algorithm is able to meet the demand for AC forces in a given period, it will<br />

move on to trying to meet the total requirement for deployed forces. Again, the algorithm<br />

begins by deploying cadre and active units at home the longest. However, the algorithm<br />

stops looking for AC units at home less than the threshold for RC deployments specified by<br />

the user. When it reaches this threshold, the algorithm looks to see if there are any RC units<br />

at home for the longest possible time (RCMaxH). 139 If there are fully rested RC units, the<br />

model deploys as many units as needed. If the requirement for deployed forces is still not<br />

met, the algorithm will return to deploying AC units at home for a period less than the RC<br />

threshold, but more than the AC minimum. After deploying all AC units home more than<br />

the minimum period of time, the algorithm will then redeploy AC units already deployed. If<br />

____________<br />

139 The model is hard-coded so that RC units are always deployed with a full cycle of rest between<br />

deployments. Unlike the AC, which we are willing to stress to some extent, we assume that RC units must have<br />

a full five years at home between deployments. The user can change the dwell time for RC units to explore the<br />

sensitivity of the results to this assumption.

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