Logical constraints exercise 2
You work at a trucking distribution center and you need to decide which of 6 customer locations you will send a truck to. Your goal is to minimize the distance a truck travels.
| Location | Distance |
|---|---|
| A | 86 |
| B | 95 |
| C | 205 |
| D | 229 |
| E | 101 |
| F | 209 |
A dictionary dist, and a list cust have been created for you containing the distance, and name of each customer location. These inputs have been printed in console for you.
Questo esercizio fa parte del corso
Supply Chain Analytics in Python
Istruzioni dell'esercizio
- Update the constraints so that the model selects at least one location
- Add the constraint so that if location A is selected then location D is also selected.
- Add the constraint so that if location B is selected then location E is also selected.
esercizio interattivo pratico
Prova questo esercizio completando questo codice di esempio.
model = LpProblem("Loading Truck Problem", LpMinimize)
x = LpVariable.dicts('ship_', cust, cat='Binary')
model += lpSum([dist[i]*x[i] for i in cust])
# Define Constraint
model += ____ + ____ + ____ + ____ + ____ + ____ >= ____
model += ____ - ____ <= ___
model += ____ - ____ <= 0
model.solve()
for i in cust:
print("{} status {}".format(i, x[i].varValue))