I am trying to identify the designers with best cost to finish the complete dress.
The Conditions:
Need to get complete dress
Either Paul1 or Paul2 can be selected but not both even though the combination of these two could be the best cost.
Dress | John | Chris | Paul1 | Paul2 |
---|---|---|---|---|
Shirt | 6.33 | 6.62 | 6.37 | 6.52 |
Trouser | 6.76 | 6.62 | 6.37 | 6.76 |
Jacket | 6.84 | 6.62 | 6.34 | 6.20 |
Here is the result of the model from Python and Pulp:
MINIMIZE
6.84 * x_0 + 6.62 * x_1 + 6.37 * x_10 + 6.76 * x_11 + 6.34 * x_2 + 6.2 * x_3 + 6.33 * x_4 + 6.62 * x_5 + 6.37 * x_6 + 6.76 * x_7 + 6.76 * x_8 + 6.62 * x_9 + 0.0
SUBJECT TO
C1: x_0 + x_1 + x_2 + x_3 = 1
C2: x_4 + x_5 + x_6 + x_7 = 1
C3: x_10 + x_11 + x_8 + x_9 = 1
I couldn't figure it out the condition to choose either Paul1 or Paul2 but not both.
Any help would be greatly appreciated.
Note: This is continuous to the question: Linear Programming Binary Variable Grouping
Standard way to choose either paul1 or paul2 isn't introduce 2 binary variable indexed over y[p1]
& y[p2]
. Then following constraints
y[p1]<= sum(x[p1,c] over c)<=3y[p1]
y[p2]<= sum(x[p2,c] over c)<=3y[p2]
y[p1] + y[p2]<= 1
where c
represents {shirt, trouser, jacket}
.
The above constraints choose either p1
or p2
for all or none of the clothing items.