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Remove model.vars

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feature/lint
Alinson S. Xavier 4 years ago
parent 56ef1f7bc2
commit a7938b7260
2 changed files with 64 additions and 65 deletions
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113
src/model.jl
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@ -7,7 +7,6 @@ using JuMP, LinearAlgebra, Geodesy, Cbc, Clp, ProgressBars, Printf, DataStructur
mutable struct ManufacturingModel
mip::JuMP.Model
vars::DotDict
eqs::DotDict
instance::Instance
graph::Graph
@ -15,7 +14,7 @@ end
function build_model(instance::Instance, graph::Graph, optimizer)::ManufacturingModel
model = ManufacturingModel(Model(optimizer), DotDict(), DotDict(), instance, graph)
model = ManufacturingModel(Model(optimizer), DotDict(), instance, graph)
create_vars!(model)
create_objective_function!(model)
create_shipping_node_constraints!(model)
@ -25,11 +24,11 @@ end
function create_vars!(model::ManufacturingModel)
mip, vars, graph, T = model.mip, model.vars, model.graph, model.instance.time
mip, graph, T = model.mip, model.graph, model.instance.time
vars.flow = Dict((a, t) => @variable(mip, lower_bound = 0) for a in graph.arcs, t = 1:T)
mip[:flow] = Dict((a, t) => @variable(mip, lower_bound = 0) for a in graph.arcs, t = 1:T)
vars.dispose = Dict(
mip[:dispose] = Dict(
(n, t) => @variable(
mip,
lower_bound = 0,
@ -37,34 +36,34 @@ function create_vars!(model::ManufacturingModel)
) for n in values(graph.plant_shipping_nodes), t = 1:T
)
vars.store = Dict(
mip[:store] = Dict(
(n, t) =>
@variable(mip, lower_bound = 0, upper_bound = n.location.storage_limit) for
n in values(graph.process_nodes), t = 1:T
)
vars.process = Dict(
mip[:process] = Dict(
(n, t) => @variable(mip, lower_bound = 0) for n in values(graph.process_nodes),
t = 1:T
)
vars.open_plant = Dict(
mip[:open_plant] = Dict(
(n, t) => @variable(mip, binary = true) for n in values(graph.process_nodes),
t = 1:T
)
vars.is_open = Dict(
mip[:is_open] = Dict(
(n, t) => @variable(mip, binary = true) for n in values(graph.process_nodes),
t = 1:T
)
vars.capacity = Dict(
mip[:capacity] = Dict(
(n, t) =>
@variable(mip, lower_bound = 0, upper_bound = n.location.sizes[2].capacity)
for n in values(graph.process_nodes), t = 1:T
)
vars.expansion = Dict(
mip[:expansion] = Dict(
(n, t) => @variable(
mip,
lower_bound = 0,
@ -93,7 +92,7 @@ function slope_fix_oper_cost(plant, t)
end
function create_objective_function!(model::ManufacturingModel)
mip, vars, graph, T = model.mip, model.vars, model.graph, model.instance.time
mip, graph, T = model.mip, model.graph, model.instance.time
obj = AffExpr(0.0)
# Process node costs
@ -102,41 +101,41 @@ function create_objective_function!(model::ManufacturingModel)
# Transportation and variable operating costs
for a in n.incoming_arcs
c = n.location.input.transportation_cost[t] * a.values["distance"]
add_to_expression!(obj, c, vars.flow[a, t])
add_to_expression!(obj, c, mip[:flow][a, t])
end
# Opening costs
add_to_expression!(obj, n.location.sizes[1].opening_cost[t], vars.open_plant[n, t])
add_to_expression!(obj, n.location.sizes[1].opening_cost[t], mip[:open_plant][n, t])
# Fixed operating costs (base)
add_to_expression!(
obj,
n.location.sizes[1].fixed_operating_cost[t],
vars.is_open[n, t],
mip[:is_open][n, t],
)
# Fixed operating costs (expansion)
add_to_expression!(obj, slope_fix_oper_cost(n.location, t), vars.expansion[n, t])
add_to_expression!(obj, slope_fix_oper_cost(n.location, t), mip[:expansion][n, t])
# Processing costs
add_to_expression!(
obj,
n.location.sizes[1].variable_operating_cost[t],
vars.process[n, t],
mip[:process][n, t],
)
# Storage costs
add_to_expression!(obj, n.location.storage_cost[t], vars.store[n, t])
add_to_expression!(obj, n.location.storage_cost[t], mip[:store][n, t])
# Expansion costs
if t < T
add_to_expression!(
obj,
slope_open(n.location, t) - slope_open(n.location, t + 1),
vars.expansion[n, t],
mip[:expansion][n, t],
)
else
add_to_expression!(obj, slope_open(n.location, t), vars.expansion[n, t])
add_to_expression!(obj, slope_open(n.location, t), mip[:expansion][n, t])
end
end
@ -144,7 +143,7 @@ function create_objective_function!(model::ManufacturingModel)
for n in values(graph.plant_shipping_nodes), t = 1:T
# Disposal costs
add_to_expression!(obj, n.location.disposal_cost[n.product][t], vars.dispose[n, t])
add_to_expression!(obj, n.location.disposal_cost[n.product][t], mip[:dispose][n, t])
end
@objective(mip, Min, obj)
@ -152,7 +151,7 @@ end
function create_shipping_node_constraints!(model::ManufacturingModel)
mip, vars, graph, T = model.mip, model.vars, model.graph, model.instance.time
mip, graph, T = model.mip, model.graph, model.instance.time
eqs = model.eqs
eqs.balance = OrderedDict()
@ -162,7 +161,7 @@ function create_shipping_node_constraints!(model::ManufacturingModel)
for n in graph.collection_shipping_nodes
eqs.balance[n, t] = @constraint(
mip,
sum(vars.flow[a, t] for a in n.outgoing_arcs) == n.location.amount[t]
sum(mip[:flow][a, t] for a in n.outgoing_arcs) == n.location.amount[t]
)
end
@ -170,8 +169,8 @@ function create_shipping_node_constraints!(model::ManufacturingModel)
for n in graph.plant_shipping_nodes
@constraint(
mip,
sum(vars.flow[a, t] for a in n.incoming_arcs) ==
sum(vars.flow[a, t] for a in n.outgoing_arcs) + vars.dispose[n, t]
sum(mip[:flow][a, t] for a in n.incoming_arcs) ==
sum(mip[:flow][a, t] for a in n.outgoing_arcs) + mip[:dispose][n, t]
)
end
end
@ -180,55 +179,55 @@ end
function create_process_node_constraints!(model::ManufacturingModel)
mip, vars, graph, T = model.mip, model.vars, model.graph, model.instance.time
mip, graph, T = model.mip, model.graph, model.instance.time
for t = 1:T, n in graph.process_nodes
input_sum = AffExpr(0.0)
for a in n.incoming_arcs
add_to_expression!(input_sum, 1.0, vars.flow[a, t])
add_to_expression!(input_sum, 1.0, mip[:flow][a, t])
end
# Output amount is implied by amount processed
for a in n.outgoing_arcs
@constraint(mip, vars.flow[a, t] == a.values["weight"] * vars.process[n, t])
@constraint(mip, mip[:flow][a, t] == a.values["weight"] * mip[:process][n, t])
end
# If plant is closed, capacity is zero
@constraint(
mip,
vars.capacity[n, t] <= n.location.sizes[2].capacity * vars.is_open[n, t]
mip[:capacity][n, t] <= n.location.sizes[2].capacity * mip[:is_open][n, t]
)
# If plant is open, capacity is greater than base
@constraint(
mip,
vars.capacity[n, t] >= n.location.sizes[1].capacity * vars.is_open[n, t]
mip[:capacity][n, t] >= n.location.sizes[1].capacity * mip[:is_open][n, t]
)
# Capacity is linked to expansion
@constraint(
mip,
vars.capacity[n, t] <= n.location.sizes[1].capacity + vars.expansion[n, t]
mip[:capacity][n, t] <= n.location.sizes[1].capacity + mip[:expansion][n, t]
)
# Can only process up to capacity
@constraint(mip, vars.process[n, t] <= vars.capacity[n, t])
@constraint(mip, mip[:process][n, t] <= mip[:capacity][n, t])
if t > 1
# Plant capacity can only increase over time
@constraint(mip, vars.capacity[n, t] >= vars.capacity[n, t-1])
@constraint(mip, vars.expansion[n, t] >= vars.expansion[n, t-1])
@constraint(mip, mip[:capacity][n, t] >= mip[:capacity][n, t-1])
@constraint(mip, mip[:expansion][n, t] >= mip[:expansion][n, t-1])
end
# Amount received equals amount processed plus stored
store_in = 0
if t > 1
store_in = vars.store[n, t-1]
store_in = mip[:store][n, t-1]
end
if t == T
@constraint(mip, vars.store[n, t] == 0)
@constraint(mip, mip[:store][n, t] == 0)
end
@constraint(mip, input_sum + store_in == vars.store[n, t] + vars.process[n, t])
@constraint(mip, input_sum + store_in == mip[:store][n, t] + mip[:process][n, t])
# Plant is currently open if it was already open in the previous time period or
@ -236,15 +235,15 @@ function create_process_node_constraints!(model::ManufacturingModel)
if t > 1
@constraint(
mip,
vars.is_open[n, t] == vars.is_open[n, t-1] + vars.open_plant[n, t]
mip[:is_open][n, t] == mip[:is_open][n, t-1] + mip[:open_plant][n, t]
)
else
@constraint(mip, vars.is_open[n, t] == vars.open_plant[n, t])
@constraint(mip, mip[:is_open][n, t] == mip[:open_plant][n, t])
end
# Plant can only be opened during building period
if t ∉ model.instance.building_period
@constraint(mip, vars.open_plant[n, t] == 0)
@constraint(mip, mip[:open_plant][n, t] == 0)
end
end
end
@ -340,8 +339,8 @@ end
function get_solution(model::ManufacturingModel; marginal_costs = true)
mip, vars, eqs, graph, instance =
model.mip, model.vars, model.eqs, model.graph, model.instance
mip, eqs, graph, instance =
model.mip, model.eqs, model.graph, model.instance
T = instance.time
output = OrderedDict(
@ -404,37 +403,37 @@ function get_solution(model::ManufacturingModel; marginal_costs = true)
"Latitude (deg)" => plant.latitude,
"Longitude (deg)" => plant.longitude,
"Capacity (tonne)" =>
[JuMP.value(vars.capacity[process_node, t]) for t = 1:T],
[JuMP.value(mip[:capacity][process_node, t]) for t = 1:T],
"Opening cost (\$)" => [
JuMP.value(vars.open_plant[process_node, t]) *
JuMP.value(mip[:open_plant][process_node, t]) *
plant.sizes[1].opening_cost[t] for t = 1:T
],
"Fixed operating cost (\$)" => [
JuMP.value(vars.is_open[process_node, t]) *
JuMP.value(mip[:is_open][process_node, t]) *
plant.sizes[1].fixed_operating_cost[t] +
JuMP.value(vars.expansion[process_node, t]) * slope_fix_oper_cost(plant, t) for t = 1:T
JuMP.value(mip[:expansion][process_node, t]) * slope_fix_oper_cost(plant, t) for t = 1:T
],
"Expansion cost (\$)" => [
(
if t == 1
slope_open(plant, t) * JuMP.value(vars.expansion[process_node, t])
slope_open(plant, t) * JuMP.value(mip[:expansion][process_node, t])
else
slope_open(plant, t) * (
JuMP.value(vars.expansion[process_node, t]) -
JuMP.value(vars.expansion[process_node, t-1])
JuMP.value(mip[:expansion][process_node, t]) -
JuMP.value(mip[:expansion][process_node, t-1])
)
end
) for t = 1:T
],
"Process (tonne)" =>
[JuMP.value(vars.process[process_node, t]) for t = 1:T],
[JuMP.value(mip[:process][process_node, t]) for t = 1:T],
"Variable operating cost (\$)" => [
JuMP.value(vars.process[process_node, t]) *
JuMP.value(mip[:process][process_node, t]) *
plant.sizes[1].variable_operating_cost[t] for t = 1:T
],
"Storage (tonne)" => [JuMP.value(vars.store[process_node, t]) for t = 1:T],
"Storage (tonne)" => [JuMP.value(mip[:store][process_node, t]) for t = 1:T],
"Storage cost (\$)" => [
JuMP.value(vars.store[process_node, t]) * plant.storage_cost[t] for t = 1:T
JuMP.value(mip[:store][process_node, t]) * plant.storage_cost[t] for t = 1:T
],
)
output["Costs"]["Fixed operating (\$)"] += plant_dict["Fixed operating cost (\$)"]
@ -446,7 +445,7 @@ function get_solution(model::ManufacturingModel; marginal_costs = true)
# Inputs
for a in process_node.incoming_arcs
vals = [JuMP.value(vars.flow[a, t]) for t = 1:T]
vals = [JuMP.value(mip[:flow][a, t]) for t = 1:T]
if sum(vals) <= 1e-3
continue
end
@ -509,13 +508,13 @@ function get_solution(model::ManufacturingModel; marginal_costs = true)
plant_dict["Total output"][product_name] = zeros(T)
plant_dict["Output"]["Send"][product_name] = product_dict = OrderedDict()
disposal_amount = [JuMP.value(vars.dispose[shipping_node, t]) for t = 1:T]
disposal_amount = [JuMP.value(mip[:dispose][shipping_node, t]) for t = 1:T]
if sum(disposal_amount) > 1e-5
skip_plant = false
plant_dict["Output"]["Dispose"][product_name] =
disposal_dict = OrderedDict()
disposal_dict["Amount (tonne)"] =
[JuMP.value(model.vars.dispose[shipping_node, t]) for t = 1:T]
[JuMP.value(model.mip[:dispose][shipping_node, t]) for t = 1:T]
disposal_dict["Cost (\$)"] = [
disposal_dict["Amount (tonne)"][t] *
plant.disposal_cost[shipping_node.product][t] for t = 1:T
@ -525,7 +524,7 @@ function get_solution(model::ManufacturingModel; marginal_costs = true)
end
for a in shipping_node.outgoing_arcs
vals = [JuMP.value(vars.flow[a, t]) for t = 1:T]
vals = [JuMP.value(mip[:flow][a, t]) for t = 1:T]
if sum(vals) <= 1e-3
continue
end

16
test/model_test.jl
Unescape View File

@ -19,22 +19,22 @@ using RELOG, Cbc, JuMP, Printf, JSON, MathOptInterface.FileFormats
n in graph.plant_shipping_nodes
)
@test length(model.vars.flow) == 76
@test length(model.vars.dispose) == 16
@test length(model.vars.open_plant) == 12
@test length(model.vars.capacity) == 12
@test length(model.vars.expansion) == 12
@test length(model.mip[:flow]) == 76
@test length(model.mip[:dispose]) == 16
@test length(model.mip[:open_plant]) == 12
@test length(model.mip[:capacity]) == 12
@test length(model.mip[:expansion]) == 12
l1 = process_node_by_location_name["L1"]
v = model.vars.capacity[l1, 1]
v = model.mip[:capacity][l1, 1]
@test lower_bound(v) == 0.0
@test upper_bound(v) == 1000.0
v = model.vars.expansion[l1, 1]
v = model.mip[:expansion][l1, 1]
@test lower_bound(v) == 0.0
@test upper_bound(v) == 750.0
v = model.vars.dispose[shipping_node_by_location_and_product_names["L1", "P2"], 1]
v = model.mip[:dispose][shipping_node_by_location_and_product_names["L1", "P2"], 1]
@test lower_bound(v) == 0.0
@test upper_bound(v) == 1.0

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