Sensitivity analysis exercise
You are doing the resource planning for a lawn furniture company. They manufacture decorative sets of legs for lawn chairs, benches, and tables from metal tubes using a two step process involving tube-bending, and welding. The profit the company receives from the sale of each product is $3 for a set of chair legs, $3 for a set of bench legs, and $5 for a set of table legs. You are trying to plan the production mix for the upcoming season. Unfortunately, due to a strike there is only 2000 lbs tubing available for production on-hand.
The time and raw material requirements for each product are printed in the console. Also, the PuLP model has been completed for you and stored in the variable model
. The constraints of the model are printed to the console.
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.
model.solve()
# Print the Model Status
print("Model Status: {}".format(____[____]))
# Print the Decision Variables
for v in model.variables():
print(v.name, "=", ____)
# Print the Objective Value
print("Objective = ", ____)