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Debug model; improve reports

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Alinson S. Xavier
2023-12-06 16:16:13 -06:00
parent 319e5f1ed3
commit ada89b7878
8 changed files with 1302 additions and 93 deletions
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2
src/RELOG.jl
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@@ -1,5 +1,7 @@
module RELOG module RELOG
_round(x::Number) = round(x, digits = 5)
include("instance/structs.jl") include("instance/structs.jl")
include("instance/parse.jl") include("instance/parse.jl")
include("model/jumpext.jl") include("model/jumpext.jl")

11
src/model/build.jl
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@@ -119,12 +119,16 @@ function build_model(instance::Instance; optimizer, variable_names::Bool = false
# Transportation cost # Transportation cost
for (p1, p2, m) in E, t in T for (p1, p2, m) in E, t in T
add_to_expression!(obj, distances[p1, p2, m], y[p1.name, p2.name, m.name, t]) add_to_expression!(
obj,
distances[p1, p2, m] * m.tr_cost[t],
y[p1.name, p2.name, m.name, t],
)
end end
# Center: Revenue # Center: Revenue
for c in centers, (p, m) in E_in[c], t in T for c in centers, (p, m) in E_in[c], t in T
add_to_expression!(obj, c.revenue[t], y[p.name, c.name, m.name, t]) add_to_expression!(obj, -c.revenue[t], y[p.name, c.name, m.name, t])
end end
# Center: Collection cost # Center: Collection cost
@@ -240,7 +244,8 @@ function build_model(instance::Instance; optimizer, variable_names::Bool = false
eq_building_period = _init(model, :eq_building_period) eq_building_period = _init(model, :eq_building_period)
for p in plants, t in T for p in plants, t in T
if t ∉ instance.building_period if t ∉ instance.building_period
eq_building_period[p.name, t] = @constraint(model, x[p.name, t] == 0) eq_building_period[p.name, t] =
@constraint(model, x[p.name, t] - x[p.name, t-1] <= 0)
end end
end end

54
src/reports/centers.jl
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@@ -11,14 +11,35 @@ function centers_report(model)::DataFrame
df."year" = Int[] df."year" = Int[]
df."input product" = String[] df."input product" = String[]
df."input amount (tonne)" = Float64[] df."input amount (tonne)" = Float64[]
df."revenue (\$)" = Float64[]
df."operating cost (\$)" = Float64[]
centers = model.ext[:instance].centers centers = model.ext[:instance].centers
T = 1:model.ext[:instance].time_horizon T = 1:model.ext[:instance].time_horizon
E_in = model.ext[:E_in]
for c in centers, t in T for c in centers, t in T
input_name = (c.input === nothing) ? "" : c.input.name input_name = (c.input === nothing) ? "" : c.input.name
input = round(value(model[:z_input][c.name, t]), digits = 3) input = value(model[:z_input][c.name, t])
push!(df, [c.name, t, input_name, input]) if isempty(E_in[c])
revenue = 0
else
revenue = sum(
c.revenue[t] * value(model[:y][p.name, c.name, m.name, t]) for
(p, m) in E_in[c]
)
end
push!(
df,
[
c.name,
t,
input_name,
_round(input),
_round(revenue),
_round(c.operating_cost[t]),
],
)
end end
return df return df
end end
@@ -30,14 +51,37 @@ function center_outputs_report(model)::DataFrame
df."year" = Int[] df."year" = Int[]
df."amount collected (tonne)" = Float64[] df."amount collected (tonne)" = Float64[]
df."amount disposed (tonne)" = Float64[] df."amount disposed (tonne)" = Float64[]
df."collection cost (\$)" = Float64[]
df."disposal cost (\$)" = Float64[]
centers = model.ext[:instance].centers centers = model.ext[:instance].centers
T = 1:model.ext[:instance].time_horizon T = 1:model.ext[:instance].time_horizon
E_out = model.ext[:E_out]
for c in centers, m in c.outputs, t in T for c in centers, m in c.outputs, t in T
collected = round(value(model[:z_collected][c.name, m.name, t]), digits = 3) collected = value(model[:z_collected][c.name, m.name, t])
disposed = round(value(model[:z_disp][c.name, m.name, t]), digits = 3) disposed = value(model[:z_disp][c.name, m.name, t])
push!(df, [c.name, m.name, t, collected, disposed]) disposal_cost = c.disposal_cost[m][t] * disposed
if isempty(E_out[c])
collection_cost = 0
else
collection_cost = sum(
c.collection_cost[m][t] * value(model[:y][c.name, p.name, m.name, t])
for (p, m) in E_out[c]
)
end
push!(
df,
[
c.name,
m.name,
t,
_round(collected),
_round(disposed),
_round(collection_cost),
_round(disposal_cost),
],
)
end end
return df return df
end end

31
src/reports/plants.jl
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@@ -11,6 +11,9 @@ function plants_report(model)::DataFrame
df."year" = Int[] df."year" = Int[]
df."operational?" = Bool[] df."operational?" = Bool[]
df."input amount (tonne)" = Float64[] df."input amount (tonne)" = Float64[]
df."opening cost (\$)" = Float64[]
df."fixed operating cost (\$)" = Float64[]
df."variable operating cost (\$)" = Float64[]
plants = model.ext[:instance].plants plants = model.ext[:instance].plants
T = 1:model.ext[:instance].time_horizon T = 1:model.ext[:instance].time_horizon
@@ -18,8 +21,24 @@ function plants_report(model)::DataFrame
for p in plants, t in T for p in plants, t in T
operational = JuMP.value(model[:x][p.name, t]) > 0.5 operational = JuMP.value(model[:x][p.name, t]) > 0.5
input = value(model[:z_input][p.name, t]) input = value(model[:z_input][p.name, t])
operational || continue opening_cost = 0
push!(df, [p.name, t, operational, input]) if value(model[:x][p.name, t]) > 0.5 && value(model[:x][p.name, t-1]) < 0.5
opening_cost = p.capacities[1].opening_cost[t]
end
fix_operating_cost = (operational ? p.capacities[1].fix_operating_cost[t] : 0)
var_operating_cost = input * p.capacities[1].var_operating_cost[t]
push!(
df,
[
p.name,
t,
operational,
_round(input),
_round(opening_cost),
_round(fix_operating_cost),
_round(var_operating_cost),
],
)
end end
return df return df
end end
@@ -31,6 +50,7 @@ function plant_outputs_report(model)::DataFrame
df."year" = Int[] df."year" = Int[]
df."amount produced (tonne)" = Float64[] df."amount produced (tonne)" = Float64[]
df."amount disposed (tonne)" = Float64[] df."amount disposed (tonne)" = Float64[]
df."disposal cost (\$)" = Float64[]
plants = model.ext[:instance].plants plants = model.ext[:instance].plants
T = 1:model.ext[:instance].time_horizon T = 1:model.ext[:instance].time_horizon
@@ -38,8 +58,11 @@ function plant_outputs_report(model)::DataFrame
for p in plants, m in keys(p.output), t in T for p in plants, m in keys(p.output), t in T
produced = JuMP.value(model[:z_prod][p.name, m.name, t]) produced = JuMP.value(model[:z_prod][p.name, m.name, t])
disposed = JuMP.value(model[:z_disp][p.name, m.name, t]) disposed = JuMP.value(model[:z_disp][p.name, m.name, t])
produced > 1e-3 || continue disposal_cost = p.disposal_cost[m][t] * disposed
push!(df, [p.name, m.name, t, produced, disposed]) push!(
df,
[p.name, m.name, t, _round(produced), _round(disposed), _round(disposal_cost)],
)
end end
return df return df
end end

27
src/reports/transportation.jl
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@@ -13,6 +13,9 @@ function transportation_report(model)::DataFrame
df."year" = Int[] df."year" = Int[]
df."amount sent (tonne)" = Float64[] df."amount sent (tonne)" = Float64[]
df."distance (km)" = Float64[] df."distance (km)" = Float64[]
df."transportation cost (\$)" = Float64[]
df."center revenue (\$)" = Float64[]
df."center collection cost (\$)" = Float64[]
E = model.ext[:E] E = model.ext[:E]
distances = model.ext[:distances] distances = model.ext[:distances]
@@ -22,7 +25,29 @@ function transportation_report(model)::DataFrame
amount = value(model[:y][p1.name, p2.name, m.name, t]) amount = value(model[:y][p1.name, p2.name, m.name, t])
amount > 1e-3 || continue amount > 1e-3 || continue
distance = distances[p1, p2, m] distance = distances[p1, p2, m]
push!(df, [p1.name, p2.name, m.name, t, amount, distance]) tr_cost = distance * amount * m.tr_cost[t]
revenue = 0
if isa(p2, Center)
revenue = p2.revenue[t] * amount
end
collection_cost = 0
if isa(p1, Center)
collection_cost = p1.collection_cost[m][t] * amount
end
push!(
df,
[
p1.name,
p2.name,
m.name,
t,
_round(amount),
_round(distance),
_round(tr_cost),
_round(revenue),
_round(collection_cost),
],
)
end end
return df return df
end end

93
test/fixtures/boat_example.ipynb vendored
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@@ -2,59 +2,33 @@
"cells": [ "cells": [
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 67, "execution_count": 115,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
"import json\n", "import json\n",
"\n", "\n",
"# cities_a = {\n",
"# \"Chicago\": [41.881832, -87.623177],\n",
"# \"New York City\": [40.712776, -74.005974],\n",
"# \"Los Angeles\": [34.052235, -118.243683],\n",
"# \"Houston\": [29.760427, -95.369804],\n",
"# \"Phoenix\": [33.448376, -112.074036],\n",
"# \"Philadelphia\": [39.952583, -75.165222],\n",
"# \"San Antonio\": [29.424122, -98.493629],\n",
"# \"San Diego\": [32.715736, -117.161087],\n",
"# \"Dallas\": [32.776664, -96.796988],\n",
"# \"San Jose\": [37.338208, -121.886329],\n",
"# \"Austin\": [30.267153, -97.743061],\n",
"# \"Jacksonville\": [30.332184, -81.655651],\n",
"# \"Fort Worth\": [32.755488, -97.330766],\n",
"# \"Columbus\": [39.961176, -82.998794],\n",
"# \"Charlotte\": [35.227087, -80.843127],\n",
"# \"Indianapolis\": [39.768403, -86.158068],\n",
"# \"San Francisco\": [37.774929, -122.419416],\n",
"# \"Seattle\": [47.606209, -122.332071],\n",
"# \"Denver\": [39.739236, -104.990251],\n",
"# \"Washington D.C.\": [38.907192, -77.036871],\n",
"# \"Nashville\": [36.162664, -86.781602],\n",
"# \"Detroit\": [42.331427, -83.045754],\n",
"# \"Oklahoma City\": [35.467560, -97.516428],\n",
"# \"Portland\": [45.505106, -122.675026],\n",
"# \"Las Vegas\": [36.169941, -115.139830],\n",
"# }\n",
"\n",
"# cities_b = {\n",
"# \"Chicago\": [41.881832, -87.623177],\n",
"# \"Phoenix\": [33.448376, -112.074036],\n",
"# \"Dallas\": [32.776664, -96.796988],\n",
"# \"San Jose\": [37.338208, -121.886329],\n",
"# \"Seattle\": [47.606209, -122.332071],\n",
"# \"Las Vegas\": [36.169941, -115.139830],\n",
"# }\n",
"\n",
"cities_a = {\n", "cities_a = {\n",
" \"Chicago\": [41.881832, -87.623177],\n", " \"Chicago\": [41.881832, -87.623177],\n",
" \"New York City\": [40.712776, -74.005974],\n",
" \"Los Angeles\": [34.052235, -118.243683],\n",
" \"Houston\": [29.760427, -95.369804],\n",
" \"Phoenix\": [33.448376, -112.074036],\n",
" \"Philadelphia\": [39.952583, -75.165222],\n",
" \"San Antonio\": [29.424122, -98.493629],\n",
" \"San Diego\": [32.715736, -117.161087],\n",
" \"Dallas\": [32.776664, -96.796988],\n",
" \"San Jose\": [37.338208, -121.886329],\n",
"}\n", "}\n",
"\n", "\n",
"cities_b = {\n", "cities_b = {\n",
" \"Chicago\": [41.881832, -87.623177],\n", " \"Chicago\": [41.881832, -87.623177],\n",
" \"Phoenix\": [33.448376, -112.074036],\n",
" \"Dallas\": [32.776664, -96.796988],\n",
"}\n", "}\n",
"\n", "\n",
"parameters = {\n", "parameters = {\n",
" \"time horizon (years)\": 1,\n", " \"time horizon (years)\": 5,\n",
" \"building period (years)\": [1],\n", " \"building period (years)\": [1],\n",
" \"distance metric\": \"Euclidean\",\n", " \"distance metric\": \"Euclidean\",\n",
"}\n", "}\n",
@@ -67,7 +41,7 @@
" \"revenue ($/tonne)\": None,\n", " \"revenue ($/tonne)\": None,\n",
" \"collection cost ($/tonne)\": {\"Nail\": 1000},\n", " \"collection cost ($/tonne)\": {\"Nail\": 1000},\n",
" \"operating cost ($)\": 0,\n", " \"operating cost ($)\": 0,\n",
" \"disposal limit (tonne)\": {\"Nail\": 0},\n", " \"disposal limit (tonne)\": {\"Nail\": None},\n",
" \"disposal cost ($/tonne)\": {\"Nail\": 0},\n", " \"disposal cost ($/tonne)\": {\"Nail\": 0},\n",
"}\n", "}\n",
"\n", "\n",
@@ -79,7 +53,7 @@
" \"revenue ($/tonne)\": None,\n", " \"revenue ($/tonne)\": None,\n",
" \"collection cost ($/tonne)\": {\"Wood\": 250},\n", " \"collection cost ($/tonne)\": {\"Wood\": 250},\n",
" \"operating cost ($)\": 0,\n", " \"operating cost ($)\": 0,\n",
" \"disposal limit (tonne)\": {\"Wood\": 0},\n", " \"disposal limit (tonne)\": {\"Wood\": None},\n",
" \"disposal cost ($/tonne)\": {\"Wood\": 0},\n", " \"disposal cost ($/tonne)\": {\"Wood\": 0},\n",
"}\n", "}\n",
"\n", "\n",
@@ -88,10 +62,10 @@
" \"outputs\": [\"UsedBoat\"],\n", " \"outputs\": [\"UsedBoat\"],\n",
" \"fixed output (tonne)\": {\"UsedBoat\": 0},\n", " \"fixed output (tonne)\": {\"UsedBoat\": 0},\n",
" \"variable output (tonne/tonne)\": {\"UsedBoat\": [0.10, 0.25, 0.10]},\n", " \"variable output (tonne/tonne)\": {\"UsedBoat\": [0.10, 0.25, 0.10]},\n",
" \"revenue ($/tonne)\": 300_000,\n", " \"revenue ($/tonne)\": 12_000,\n",
" \"collection cost ($/tonne)\": {\"UsedBoat\": 100},\n", " \"collection cost ($/tonne)\": {\"UsedBoat\": 100},\n",
" \"operating cost ($)\": 125_000,\n", " \"operating cost ($)\": 125_000,\n",
" \"disposal limit (tonne)\": {\"UsedBoat\": 0},\n", " \"disposal limit (tonne)\": {\"UsedBoat\": None},\n",
" \"disposal cost ($/tonne)\": {\"UsedBoat\": 0},\n", " \"disposal cost ($/tonne)\": {\"UsedBoat\": 0},\n",
"}\n", "}\n",
"\n", "\n",
@@ -123,15 +97,15 @@
" },\n", " },\n",
" \"capacities\": [\n", " \"capacities\": [\n",
" {\n", " {\n",
" \"size (tonne)\": 200,\n", " \"size (tonne)\": 500,\n",
" \"opening cost ($)\": 10_000,\n", " \"opening cost ($)\": 1_000_000,\n",
" \"fixed operating cost ($)\": 1_000,\n", " \"fixed operating cost ($)\": 250_000,\n",
" \"variable operating cost ($/tonne)\": 5,\n", " \"variable operating cost ($/tonne)\": 5,\n",
" },\n", " },\n",
" {\n", " {\n",
" \"size (tonne)\": 500,\n", " \"size (tonne)\": 1000,\n",
" \"opening cost ($)\": 20_000,\n", " \"opening cost ($)\": 2_000_000,\n",
" \"fixed operating cost ($)\": 2_000,\n", " \"fixed operating cost ($)\": 500_000,\n",
" \"variable operating cost ($/tonne)\": 5,\n", " \"variable operating cost ($/tonne)\": 5,\n",
" },\n", " },\n",
" ],\n", " ],\n",
@@ -155,16 +129,15 @@
" \"disposal limit (tonne)\": {\"Nail\": 0, \"Wood\": 0},\n", " \"disposal limit (tonne)\": {\"Nail\": 0, \"Wood\": 0},\n",
" \"capacities\": [\n", " \"capacities\": [\n",
" {\n", " {\n",
" \"size (tonne)\": 50,\n", " \"size (tonne)\": 500,\n",
" \"opening cost ($)\": 5_000,\n", " \"opening cost ($)\": 500_000,\n",
" \"fixed operating cost ($)\": 500,\n", " \"fixed operating cost ($)\": 125_000,\n",
" \"variable operating cost ($/tonne)\": 2.5,\n", " \"variable operating cost ($/tonne)\": 2.5,\n",
" },\n", " },\n",
" {\n", " {\n",
" \"size (tonne)\": 500,\n", " \"size (tonne)\": 1000,\n",
" \"opening cost ($)\": 10_000,\n", " \"opening cost ($)\": 1_000_000,\n",
" \n", " \"fixed operating cost ($)\": 250_000,\n",
" \"fixed operating cost ($)\": 1_000,\n",
" \"variable operating cost ($/tonne)\": 2.5,\n", " \"variable operating cost ($/tonne)\": 2.5,\n",
" },\n", " },\n",
" ],\n", " ],\n",
@@ -174,7 +147,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 68, "execution_count": 116,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
@@ -200,7 +173,8 @@
" \"longitude (deg)\": city_location[1],\n", " \"longitude (deg)\": city_location[1],\n",
" }\n", " }\n",
" for (city_name, city_location) in cities_b.items()\n", " for (city_name, city_location) in cities_b.items()\n",
" } | {\n", " }\n",
" | {\n",
" f\"Retail ({city_name})\": {\n", " f\"Retail ({city_name})\": {\n",
" **retail,\n", " **retail,\n",
" \"latitude (deg)\": city_location[0],\n", " \"latitude (deg)\": city_location[0],\n",
@@ -217,7 +191,8 @@
" \"longitude (deg)\": city_location[1],\n", " \"longitude (deg)\": city_location[1],\n",
" }\n", " }\n",
" for (city_name, city_location) in cities_a.items()\n", " for (city_name, city_location) in cities_a.items()\n",
" } | {\n", " }\n",
" | {\n",
" f\"RecyclingPlant ({city_name})\": {\n", " f\"RecyclingPlant ({city_name})\": {\n",
" **recycling_plant,\n", " **recycling_plant,\n",
" \"latitude (deg)\": city_location[0],\n", " \"latitude (deg)\": city_location[0],\n",

1169
test/fixtures/boat_example.json vendored
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File diff suppressed because it is too large Load Diff

8
test/src/model/build_test.jl
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@@ -14,11 +14,11 @@ function model_build_test()
# print(model) # print(model)
@test obj.terms[y["L1", "C3", "P4", 1]] == ( @test obj.terms[y["L1", "C3", "P4", 1]] == (
111.118 + # transportation 111.118 * 0.015 # transportation
12.0 # revenue - 12.0 # revenue
) )
@test obj.terms[y["C1", "L1", "P2", 4]] == ( @test obj.terms[y["C1", "L1", "P2", 4]] == (
333.262 + # transportation 333.262 * 0.015 + # transportation
0.25 + # center collection cost 0.25 + # center collection cost
5.0 # plant operating cost 5.0 # plant operating cost
) )
@@ -83,7 +83,7 @@ function model_build_test()
# Plants: Building period # Plants: Building period
@test ("L1", 1) ∉ keys(model[:eq_building_period]) @test ("L1", 1) ∉ keys(model[:eq_building_period])
@test repr(model[:eq_building_period]["L1", 2]) == @test repr(model[:eq_building_period]["L1", 2]) ==
"eq_building_period[L1,2] : x[L1,2] = 0" "eq_building_period[L1,2] : -x[L1,1] + x[L1,2] ≤ 0"
# Centers: Definition of total center input # Centers: Definition of total center input
@test repr(model[:eq_z_input]["C1", 1]) == @test repr(model[:eq_z_input]["C1", 1]) ==