From 91fb3cf2c568bf54b9caea54c322a80ead595f0f Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?V=C3=ADctor=20S=C3=A1nchez?=
 <57121207+VikSanz@users.noreply.github.com>
Date: Fri, 28 Aug 2020 13:04:06 -0500
Subject: [PATCH] Create prob_transporte.py

---
 prob_transporte.py | 35 +++++++++++++++++++++++++++++++++++
 1 file changed, 35 insertions(+)
 create mode 100644 prob_transporte.py

diff --git a/prob_transporte.py b/prob_transporte.py
new file mode 100644
index 0000000..0622dad
--- /dev/null
+++ b/prob_transporte.py
@@ -0,0 +1,35 @@
+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))