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  3. Supply Chain Analytics in Python

Exercise

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.

Instructions 1/4

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  • Complete the code that initializes the model using the LpProblem() function. Remember you want to model the objective function as the amount of profit earned.