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.
This exercise is part of the course
Supply Chain Analytics in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Initialize Class
model = LpProblem("Maximize Glass Co. Profits", ____)