Simple resource scheduling exercise
In this exercise you are planning the production at a glass manufacturer. This manufacturer only produces wine and beer glasses:
- there is a maximum production capacity of 60 hours
- each batch of wine and beer glasses takes 6 and 5 hours respectively
- the warehouse has a maximum capacity of 150 rack spaces
- each batch of the wine and beer glasses takes 10 and 20 spaces respectively
- the production equipment can only make full batches, no partial batches
Also, we only have orders for 6 batches of wine glasses. Therefore, we do not want to produce more than this. Each batch of the wine glasses earns a profit of $5 and the beer $4.5.
The objective is to maximize the profit for the manufacturer.
puLP
has already been imported for you.
Cet exercice fait partie du cours
Supply Chain Analytics in Python
Exercice interactif pratique
Essayez cet exercice en complétant cet exemple de code.
# Initialize Class
model = LpProblem("Maximize Glass Co. Profits", ____)