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Simulation testing capacitated model

Continue the case study of the Capacitated Plant Location model of a car manufacture. The PuLP model has been completed and solved for you. It is stored in the variable model. The decision variables x, and y respectively represent the production quantities of the different regions, and if a production plant is opened. Additionally, two python lists loc, and size have also been created, containing the different locations, and the two types of plant capacities. Finally, the input data for the model has been printed to the console for you for reference.

Bu egzersiz

Supply Chain Analytics in Python

kursunun bir parçasıdır
Kursu Görüntüle

Uygulamalı interaktif egzersiz

Bu örnek kodu tamamlayarak bu egzersizi bitirin.

# Define Objective
model += (lpSum([fix_cost.loc[i,s] * y[(i,s)] for s in size for i in loc])
          + lpSum([(var_cost.loc[i,j] + ____)*x[(i,j)] 
                   for i in loc for j in loc]))
Kodu Düzenle ve Çalıştır