Create prob_transporte.py

prob_transporte.py

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+import pandas as np
+from pulp import *
+from pandas import DataFrame
+
+origen = ['LA','Detroit','New Orleans']
+destino = ['Denver','Miami']
+
+oferta = {'LA': 1000, 'Detroit' : 1500, 'New Orleans': 1200}
+demanda = {'Denver': 2300, 'Miami' : 1400}
+
+costo_envio ={'LA':{'Denver': 80, 'Miami' : 215},
+             'Detroit':{'Denver': 100, 'Miami' : 108},
+             'New Orleans': {'Denver': 102, 'Miami' : 68}}
+
+prob = LpProblem('Transporte', LpMinimize)
+
+rutas = [(i,j) for i in origen for j in destino]
+
+cantidad = LpVariable.dicts('Cantidad de Envio',(origen,destino),0)
+
+prob += lpSum(cantidad[i][j]*costo_envio[i][j] for (i,j) in rutas)
+
+for j in destino:
+    prob += lpSum(cantidad[i][j] for i in origen) == demanda[j]
+
+for i in origen:
+    prob += lpSum(cantidad[i][j] for j in destino) <= oferta[i]
+
+prob.solve()
+print("Status:", LpStatus[prob.status])
+
+for v in prob.variables():
+    if v.varValue > 0:
+        print(v.name, "=", v.varValue)
+print('El costo mínimo es:', value(prob.objective))