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Considering a Cadre Augmented Army - RAND Corporation

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-250- An Operational Analysis of <strong>Cadre</strong><br />

chance of remaining in the same grade. This assumption is appropriate for calculating the<br />

difference in grade structure under different promotion policies because the extra<br />

Colonels/E-9s that would have transitioned out or up are subtracted out in the base case.<br />

After creating the transition matrix, the Markov Promotion Model creates a vector<br />

with the initial stock of personnel in each state (I). The model takes the initial force structure<br />

by grade entered by the user and spreads it uniformly across the states corresponding to that<br />

grade. For instance, in the previous example with two periods in each grade, the model<br />

would divide the total number of soldiers initially in each grade by two. Since the highest<br />

grade only has one state (Colonel/E-9), the initial stock is equal to the stock specified by the<br />

user. The initial stock of separated personnel is set to zero. For the initial distribution of<br />

officers shown in Figure C.1, the initial state vector is shown in Figure C.3.<br />

Figure C.3—Initial State Vector Example (Officers)<br />

State Stock<br />

LT1 9358<br />

LT2 9358<br />

CAP3 12096<br />

CAP3 12096<br />

MAJ5 7564<br />

MAJ6 7564<br />

LTCOL7 4744<br />

LTCOL8 4744<br />

COL9 3957<br />

SEP 0<br />

The model uses the initial state vector (I) and the Markov transition matrix (M) to<br />

calculate the distribution of personnel in the force after n time periods in a results vector (R).<br />

First, the model multiplies the Markov transition matrix (M) by itself n times to determine<br />

the relative distribution of personnel after n periods (D n ).<br />

D n = M n

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