Allow plants to dispose of products locally

v0.1
Alinson S. Xavier 6 years ago
parent c55c6cc828
commit ed70c9d1e2

@ -79,7 +79,17 @@
"capacity": 500,
"opening cost": 2000,
"fixed operating cost": 70.0,
"variable operating cost": 70.0
"variable operating cost": 70.0,
"disposal": {
"P2": {
"cost": -10.0,
"limit": 1.0
},
"P3": {
"cost": -10.0,
"limit": 1.0
}
}
},
"L2": {
"latitude": 0.5,

@ -30,14 +30,17 @@ mutable struct ShippingNode <: Node
incoming_arcs::Array
outgoing_arcs::Array
balance::Float64
disposal_cost::Float64
disposal_limit::Float64
end
function Base.show(io::IO, node::ProcessNode)
print(io, "ProcessNode($(node.product_name), $(node.plant_name), $(node.location_name), $(node.fixed_cost))")
print(io, "ProcessNode($(node.product_name), $(node.plant_name), $(node.location_name), fixed_cost=$(node.fixed_cost))")
end
function Base.show(io::IO, node::ShippingNode)
print(io, "ShippingNode($(node.product_name), $(node.plant_name), $(node.location_name), $(node.balance))")
print(io, "ShippingNode($(node.product_name), $(node.plant_name), $(node.location_name), balance=$(node.balance), ")
print(io, "disposal_cost=$(node.disposal_cost), disposal_limit=$(node.disposal_limit))")
end
mutable struct Arc
@ -74,20 +77,34 @@ function build_model(instance::ReverseManufacturingInstance,
vars = DotDict()
vars.flow = Dict(a => @variable(mip, lower_bound=0) for a in arcs)
vars.node = Dict(n => @variable(mip, binary=true) for n in values(process_nodes))
vars.dispose = Dict(n => @variable(mip,
lower_bound = 0,
upper_bound = n.disposal_limit)
for n in values(shipping_nodes))
vars.open_plant = Dict(n => @variable(mip, binary=true) for n in values(process_nodes))
create_shipping_node_constraints!(mip, shipping_nodes, vars)
create_process_node_constraints!(mip, process_nodes, vars)
println(" Creating objective function...")
obj = @expression(mip, 0 * @variable(mip))
# Shipping and variable operating costs
for a in tqdm(arcs)
for c in keys(a.costs)
add_to_expression!(obj, a.costs[c], vars.flow[a])
end
end
# Opening and fixed operating costs
for n in tqdm(values(process_nodes))
add_to_expression!(obj, n.fixed_cost, vars.node[n])
add_to_expression!(obj, n.fixed_cost, vars.open_plant[n])
end
# Disposal costs
for n in tqdm(values(shipping_nodes))
add_to_expression!(obj, n.disposal_cost, vars.dispose[n])
end
@objective(mip, Min, obj)
return ReverseManufacturingModel(mip,
@ -102,7 +119,7 @@ function create_shipping_node_constraints!(mip, nodes, vars)
for (id, n) in tqdm(nodes)
@constraint(mip,
sum(vars.flow[a] for a in n.incoming_arcs) + n.balance ==
sum(vars.flow[a] for a in n.outgoing_arcs))
sum(vars.flow[a] for a in n.outgoing_arcs) + vars.dispose[n])
end
end
@ -115,7 +132,7 @@ function create_process_node_constraints!(mip, nodes, vars)
@constraint(mip, vars.flow[a] == a.values["weight"] * input_sum)
end
# If plant is closed, input must be zero
@constraint(mip, input_sum <= 1e6 * vars.node[n])
@constraint(mip, input_sum <= 1e6 * vars.open_plant[n])
end
end
@ -131,8 +148,16 @@ function create_nodes_and_arcs(instance)
# Shipping nodes for initial amounts
if haskey(product, "initial amounts")
for location_name in keys(product["initial amounts"])
amount = product["initial amounts"][location_name]["amount"]
n = ShippingNode(product_name, "Origin", location_name, [], [], amount)
balance = product["initial amounts"][location_name]["amount"]
n = ShippingNode(product_name,
"Origin", # plant_name
location_name,
[], # incoming_arcs
[], # outgoing_arcs
balance,
0.0, # disposal_cost
0.0, # disposal_limit
)
shipping_nodes[n.product_name, n.plant_name, n.location_name] = n
end
end
@ -148,8 +173,29 @@ function create_nodes_and_arcs(instance)
# Shipping nodes for each plant
for plant in product["output plants"]
for location_name in keys(plant["locations"])
n = ShippingNode(product_name, plant["name"], location_name, [], [], 0)
for (location_name, location) in plant["locations"]
disposal_cost = 0.0
disposal_limit = 0.0
if "disposal" in keys(location) product_name in keys(location["disposal"])
dict = location["disposal"][product_name]
disposal_cost = dict["cost"]
if "limit" in keys(dict)
disposal_limit = dict["limit"]
else
disposal_limit = 1e30
end
end
n = ShippingNode(product_name,
plant["name"],
location_name,
[], # incoming_arcs
[], # outgoing_arcs
0.0, # balance
disposal_cost,
disposal_limit,
)
shipping_nodes[n.product_name, n.plant_name, n.location_name] = n
end
end
@ -249,7 +295,7 @@ function get_solution(instance::ReverseManufacturingInstance,
vals[a] = JuMP.value(model.vars.flow[a])
end
for n in values(model.process_nodes)
vals[n] = JuMP.value(model.vars.node[n])
vals[n] = JuMP.value(model.vars.open_plant[n])
end
output = Dict(
@ -258,6 +304,7 @@ function get_solution(instance::ReverseManufacturingInstance,
"fixed" => 0.0,
"variable" => 0.0,
"transportation" => 0.0,
"disposal" => 0.0,
"total" => 0.0,
)
)
@ -273,11 +320,12 @@ function get_solution(instance::ReverseManufacturingInstance,
plant_loc_dict = Dict{Any, Any}(
"input" => Dict(),
"output" => Dict(),
"output" => Dict(
"send" => Dict(),
"dispose" => Dict(),
),
"total input" => 0.0,
"total output" => Dict(),
"transportation costs" => Dict(),
"variable costs" => Dict(),
"latitude" => location["latitude"],
"longitude" => location["longitude"],
)
@ -294,8 +342,6 @@ function get_solution(instance::ReverseManufacturingInstance,
val = round(vals[a], digits=5)
if !(a.source.plant_name in keys(plant_loc_dict["input"]))
plant_loc_dict["input"][a.source.plant_name] = Dict()
plant_loc_dict["transportation costs"][a.source.plant_name] = Dict()
plant_loc_dict["variable costs"][a.source.plant_name] = Dict()
end
if a.source.plant_name == "Origin"
product = instance.products[a.source.product_name]
@ -306,34 +352,36 @@ function get_solution(instance::ReverseManufacturingInstance,
end
# Input
cost_transportation = round(a.costs["transportation"] * val, digits=5)
plant_loc_dict["input"][a.source.plant_name][a.source.location_name] = dict = Dict()
cost_variable = round(a.costs["variable"] * val, digits=5)
dict["amount"] = val
dict["distance"] = a.values["distance"]
dict["transportation cost"] = cost_transportation
dict["variable operating cost"] = cost_variable
dict["latitude"] = source_location["latitude"]
dict["longitude"] = source_location["longitude"]
plant_loc_dict["total input"] += val
# Transportation costs
cost_transportation = round(a.costs["transportation"] * val, digits=5)
plant_loc_dict["transportation costs"][a.source.plant_name][a.source.location_name] = dict = Dict()
dict["cost"] = cost_transportation
dict["latitude"] = source_location["latitude"]
dict["longitude"] = source_location["longitude"]
dict["distance"] = a.values["distance"]
output["costs"]["transportation"] += cost_transportation
cost_variable = round(a.costs["variable"] * val, digits=5)
plant_loc_dict["variable costs"][a.source.plant_name][a.source.location_name] = dict = Dict()
dict["cost"] = cost_variable
dict["latitude"] = source_location["latitude"]
dict["longitude"] = source_location["longitude"]
output["costs"]["variable"] += cost_variable
end
# Outputs
for output_product_name in keys(plant["outputs"])
plant_loc_dict["total output"][output_product_name] = 0.0
plant_loc_dict["output"][output_product_name] = product_dict = Dict()
plant_loc_dict["output"]["send"][output_product_name] = product_dict = Dict()
shipping_node = model.shipping_nodes[output_product_name, plant_name, location_name]
disposal_amount = JuMP.value(model.vars.dispose[shipping_node])
if disposal_amount > 1e-5
plant_loc_dict["output"]["dispose"][output_product_name] = disposal_dict = Dict()
disposal_dict["amount"] = JuMP.value(model.vars.dispose[shipping_node])
disposal_dict["cost"] = disposal_dict["amount"] * shipping_node.disposal_cost
plant_loc_dict["total output"][output_product_name] += disposal_amount
output["costs"]["disposal"] += disposal_dict["cost"]
end
for a in shipping_node.outgoing_arcs
if vals[a] <= 0
continue
@ -342,9 +390,14 @@ function get_solution(instance::ReverseManufacturingInstance,
if !(a.dest.plant_name in keys(product_dict))
product_dict[a.dest.plant_name] = Dict{Any,Any}()
end
dest_location = instance.plants[a.dest.plant_name]["locations"][a.dest.location_name]
val = round(vals[a], digits=5)
plant_loc_dict["total output"][output_product_name] += val
product_dict[a.dest.plant_name][a.dest.location_name] = val
product_dict[a.dest.plant_name][a.dest.location_name] = dict = Dict()
dict["amount"] = val
dict["distance"] = a.values["distance"]
dict["latitude"] = dest_location["latitude"]
dict["longitude"] = dest_location["longitude"]
end
end

@ -30,7 +30,20 @@
"longitude": { "type": "number" },
"variable operating cost": { "type": "number" },
"fixed operating cost": { "type": "number" },
"opening cost": { "type": "number" }
"opening cost": { "type": "number" },
"disposal": {
"type": "object",
"additionalProperties": {
"type": "object",
"properties": {
"cost": { "type": "number" },
"limit": { "type": "number" }
},
"required": [
"cost"
]
}
}
},
"required": [
"latitude",

@ -1,7 +1,7 @@
# Copyright (C) 2020 Argonne National Laboratory
# Written by Alinson Santos Xavier <axavier@anl.gov>
using ReverseManufacturing, Cbc, JuMP, Printf
using ReverseManufacturing, Cbc, JuMP, Printf, JSON
@testset "Model" begin
instance = ReverseManufacturing.load("samples/s1")
@ -50,6 +50,8 @@ end
@testset "Solve" begin
solution = ReverseManufacturing.solve("$(pwd())/../instances/samples/s1.json")
println(JSON.print(solution, 2))
@test "plants" in keys(solution)
@test "F1" in keys(solution["plants"])
@test "F2" in keys(solution["plants"])

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