We have taken a screenshot of the first 8 days since we assumed that we are starting with no inventory and we should satisfy the inventory equilibrium constraint. Hence, collected units on the first day of operations should be the highest. Eventually, the same numbers will be repeating themselves all over the remaining 27 days while the inventory was kept at exactly its minimum for all blood types.
The results seem pretty logical, and when we have checked them with the blood bank from which we got the initial data, they have confirmed that they collected a little more each day for each blood type, which is why they have a waste of about 3% on all blood types. Although our model doesn’t thoroughly deal with perished units, it includes some measures directly related to it; that can be seen via the perishability constraint, and inventory equilibrium.
Sensitivity analysis
Sensitivity analysis is an important measure to see how variables react to certain changes in the model. We have used Gurobi to have that report as well, and the code was as follows: