sparta.gms : Military Manpower Planning from Wagner

Description

```Soldiers can be enlisted for 1, 2, 3 or 4 years, and the decision
is how many soldiers to enlist for each enlistment period in each
year.

This problem can be formulated using stock or flow variables. Four
different formulations are presented here. The most readable
formulation is the one using a stock variable. Although requiring
more variables, the stock formulation has fewer nonzero entries in
the matrix and is also preferred from a computational point of view.
```

Small Model of Type : LP

Category : GAMS Model library

Main file : sparta.gms

``````\$title Military Manpower Planning from Wagner (SPARTA,SEQ=108)

\$onText
Soldiers can be enlisted for 1, 2, 3 or 4 years, and the decision
is how many soldiers to enlist for each enlistment period in each
year.

This problem can be formulated using stock or flow variables. Four
different formulations are presented here. The most readable
formulation is the one using a stock variable. Although requiring
more variables, the stock formulation has fewer nonzero entries in
the matrix and is also preferred from a computational point of view.

Wagner, H M, Military Manpower Planning Example. In Principles of
Operations Research with Applications to Managerial Decisions,
Second Edition. Prentice-Hall, 1975, p. 66.

Keywords: linear programming, multi-period manpower planning, scenario analysis,
military, scheduling
\$offText

Set
t 'time periods (years)'         / 1*10 /
l 'length of enlistment (years)' / len-1*len-4 /;

Alias (l,lp), (t,tp);

Set ttl(t,tp,l) 'variable map representing enlistment schedules';
ttl(t,tp,l) = yes\$(ord(tp) <= ord(t) and ord(tp) + ord(l) > ord(t));

display ttl;

Parameter
infl(t) 'inflation index'   / 1 1.00, 2 1.05, 3 1.12, 4 1.71, 5 1.80
6 1.90, 7 1.97, 8 2.10, 9 2.22,10 2.38   /
req(t)  'troop requirement' / 1    5, 2    6, 3    7, 4    6, 5    4
6    9, 7    8, 8    8, 9    6, 10   4   /
clen(l) 'cost of service'   / len-1 50, len-2 85, len-3 115, len-4 143 /;

Variable
x(t,l) 'recruits by year and length of enlistment'
e(t)   'enlisted men'
z      'total cost';

Positive Variable x;

Equation
cost    'cost definition'
bal1(t) 'troop balance - flow balance using lag operators'
bal2(t) 'troop balance - flow balance with explicit conditions'
bal3(t) 'troop balance - flow balance with intermediate cond'
bal4(t) 'troop balance - stock balance';

cost..    z =e= sum((t,l), infl(t)*clen(l)*x(t,l));

bal1(t).. sum((l,lp), x(t-(ord(l)-1),lp+(ord(l)-1))) =g= req(t);

bal2(t).. sum((tp,l)\$(ord(tp) <= ord(t) and (ord(tp) + ord(l)) > ord(t)), x(tp,l)) =g= req(t);

bal3(t).. sum(ttl(t,tp,l), x(tp,l)) =g= req(t);

bal4(t).. e(t) =e= e(t-1) + sum(l, x(t,l) - x(t-ord(l),l));

e.lo(t) = req(t);

Model
sparta1 / cost, bal1 /
sparta2 / cost, bal2 /
sparta3 / cost, bal3 /
sparta4 / cost, bal4 /;

solve sparta1 using lp minimizing z;
solve sparta2 using lp minimizing z;
solve sparta3 using lp minimizing z;
solve sparta4 using lp minimizing z;

Parameter rep 'summary report';
rep('required',' ',t) = req(t);
rep('enlisted',' ',t) = e.l(t);
rep('m-cost',' ',t)   = e.m(t);
rep('recruits',l,t)   = x.l(t,l);
display rep;
``````
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