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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

View Course

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Initialize Class
model = LpProblem("Maximize Glass Co. Profits", ____)
Edit and Run Code