I have an exercise to solve, and it is a constrained optimization problem.
Here it is:
"A company makes large championship trophies for youth athletic leagues. At the moment they are planning production for fall sports: football and soccer. Each football trophy has a wood base, an engraved plaque, and a large brass football on top, and returns 12 euro prot. Soccer trophies are similar except that a brass soccer ball is on top, and unit prot is only 9 euro. Since the football has asymmetric shape, its base requires 4 board feet of wood, the soccer base requires only 2 board feet. At the moment there are 1000 brass footballs in stock, 1500 soccer balls, 1750 plaques, and 4800 board feet of wood. Assuming that all that are made can be sold: Formulate a linear programming model to determine an optimal product mix to maximize the profit. Use the decision variables:
- $x_1$: number of football trophies to produce
- $x_2$: number of soccer trophies to produce"
I guess profit will be:
$P = 12x_1 + 9x_2$
Well, the first thing that came to my mind is to set 6 variables (three for $x_1$ and three for $x_2$) defining the three different elements that need each kind of trophy to be produced:
$x_1 = y_1 + z_1 + 4t_1$
$x_2 = y_2 + z_2 + 2t_2$
$y_1:$ brass footballs
$y_2:$ brass soccer balls
$z_1:$ football plaques
$z_2:$ soccer plaques
$t_1:$ football board feet
$t_2:$ soccer board feet
And also, four constraints:
$y_1 ≤ 1000$
$y_2 ≤ 1500$
$z_1 + z_2 ≤ 1750$
$t_1 + t_2 ≤ 4800$
I don't thing all of this is correct, it looks messy, so here I'm asking for help. Thank you!