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.
Diese Übung ist Teil des Kurses
Supply Chain Analytics in Python
Anleitung zur Übung
- 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.
Interaktive Übung
Versuche dich an dieser Übung, indem du diesen Beispielcode vervollständigst.
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))