distances = pd.read_csv("distances.csv", header=None).T.to_dict()
D = {}
for j in range(0, 32):
for i in range(0, 13):
D[(i, j)] = distances[j][i]
model.D = Param(model.i, model.j, initialize=D, doc='Distances')
demands = pd.read_csv("demands.csv", header=None).T.to_dict()
CD = {}
for j in range(0, 32):
for k in ['A', 'B']:
if k == 'A':
CD[(j, k)] = demands[j][2]*1000
if k == 'B':
CD[(j, k)] = demands[j][5]*1000
model.CD = Param(model.j, model.k, initialize=CD, doc='Demands')
MC = {
0: 1404000,
1: 1452000,
2: 1476000,
3: 1482000,
4: 1500000,
5: 1488000,
6: 1434000,
7: 1356000,
8: 1464000,
9: 1470000,
10: 1458000,
11: 1392000,
12: 1392000
}
