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# transportation LP Design Problem
dp {
# fixed demand for every location, vector of dim = number of demand locations
provides demand0 [t/day]
provides demand1 [t/day]
provides demand2 [t/day]
provides demand3 [t/day]
provides demand4 [t/day]
# transportation cost for every connection, vector of dim = number of conncections
provides transport_cost0 [CHF/t]
provides transport_cost1 [CHF/t]
provides transport_cost2 [CHF/t]
provides transport_cost3 [CHF/t]
provides transport_cost4 [CHF/t]
provides transport_cost5 [CHF/t]
provides transport_cost6 [CHF/t]
provides transport_cost7 [CHF/t]
provides transport_cost8 [CHF/t]
provides transport_cost9 [CHF/t]
# optimal total transportation cost
requires optimal_total_transport_cost [CHF/day]
# optimal transportation quantities for every connection, vector of dim = number of connections
requires optimal_transport0 [t/day]
requires optimal_transport1 [t/day]
requires optimal_transport2 [t/day]
requires optimal_transport3 [t/day]
requires optimal_transport4 [t/day]
requires optimal_transport5 [t/day]
requires optimal_transport6 [t/day]
requires optimal_transport7 [t/day]
requires optimal_transport8 [t/day]
requires optimal_transport9 [t/day]
# maximal transportation capacity for every connection, vecotr of dim = number of connections
requires max_transport0 [t/day]
requires max_transport1 [t/day]
requires max_transport2 [t/day]
requires max_transport3 [t/day]
requires max_transport4 [t/day]
requires max_transport5 [t/day]
requires max_transport6 [t/day]
requires max_transport7 [t/day]
requires max_transport8 [t/day]
requires max_transport9 [t/day]
# supply of every location, vector of dim = number of supply locations
requires supply0 [t/day]
requires supply1 [t/day]
requires supply2 [t/day]
requires supply3 [t/day]
requires supply4 [t/day]
#implemented-by code mcdp_importers.read_yaml(fn="HydrogenDistributionExample.mcdplib/DPtransportLP_normal_test.yaml")
implemented-by code mcdp_importers.read_yaml(fn="HydrogenDistributionExample.mcdplib/DPtransportLP_normal.yaml")
}
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