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ANL-CEEESA:v0.1

4 Commits
5ea3e10139 ... ca06db2870

Author SHA1 Message Date
Alinson S. Xavier ca06db2870 Add more fields to CSV reports
1 week ago
Alinson S. Xavier 5ac9ae2b62 Reports: use dicts instead of lists
1 week ago
Alinson S. Xavier e4d4ee1cc8 Implement global disposal limits
1 week ago
Alinson S. Xavier 67b1e5fd40 Reformat source code
1 week ago
19 changed files with 610 additions and 519 deletions
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17
docs/src/format.md
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@ -1,6 +1,7 @@
# Input data format # Input data format
RELOG accepts as input a JSON file with four sections: `parameters`, `products`, `centers` and `plants`. Below, we describe each section in more detail. RELOG accepts as input a JSON file with four sections: `parameters`, `products`,
`centers` and `plants`. Below, we describe each section in more detail.
## Parameters ## Parameters
@ -24,11 +25,12 @@ RELOG accepts as input a JSON file with four sections: `parameters`, `products`,
## Products ## Products
| Key | Description | | Key | Description |
| :------------------------------------------ | :----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | :------------------------------------------ | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `transportation cost ($/km/tonne)` | The cost to transport this product. Must be a time series. | | `transportation cost ($/km/tonne)` | The cost to transport this product. Must be a time series. |
| `transportation energy (J/km/tonne)` | The energy required to transport this product. Must be a time series. Optional. | | `transportation energy (J/km/tonne)` | The energy required to transport this product. Must be a time series. Optional. |
| `transportation emissions (tonne/km/tonne)` | A dictionary mapping the name of each greenhouse gas, produced to transport one tonne of this product along one kilometer, to the amount of gas produced (in tonnes). Must be a time series. Optional. | | `transportation emissions (tonne/km/tonne)` | A dictionary mapping the name of each greenhouse gas, produced to transport one tonne of this product along one kilometer, to the amount of gas produced (in tonnes). Must be a time series. Optional. |
| `disposal limit (tonne)` | Global disposal limit for this product, per year, across all plants and centers. Entry may be `null` if unlimited. Note that individual plants and centers may also have their individual disposal limits for this product. |
#### Example #### Example
@ -41,7 +43,8 @@ RELOG accepts as input a JSON file with four sections: `parameters`, `products`,
"transportation emissions (tonne/km/tonne)": { "transportation emissions (tonne/km/tonne)": {
"CO2": 0.052, "CO2": 0.052,
"CH4": 0.003 "CH4": 0.003
} },
"disposal limit (tonne)": 100.0,
} }
} }
} }

50
docs/src/problem.md
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@ -5,8 +5,8 @@
The mathematical model employed by RELOG is based on three main components: The mathematical model employed by RELOG is based on three main components:
1. **Products and Materials:** Inputs and outputs for both manufacturing and 1. **Products and Materials:** Inputs and outputs for both manufacturing and
recycling plants. This include raw materials, whether virgin or recovered, and recycling plants. This include raw materials, whether virgin or recovered,
final products, whether new or at their end-of-life. Each product has and final products, whether new or at their end-of-life. Each product has
associated transportation parameters, such as costs, energy and emissions. associated transportation parameters, such as costs, energy and emissions.
2. **Manufacturing and Recycling Plants:** Facilities that take in specific 2. **Manufacturing and Recycling Plants:** Facilities that take in specific
@ -48,23 +48,24 @@ The mathematical model employed by RELOG is based on three main components:
## Constants ## Constants
| Symbol | Description | Unit | | Symbol | Description | Unit |
| :-------------------------- | :--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :------------ | | :-------------------------- | :--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :---------- |
| $K^{\text{dist}}_{uv}$ | Distance between plants/centers $u$ and $v$ | km | | $K^{\text{dist}}_{uv}$ | Distance between plants/centers $u$ and $v$ | km |
| $K^\text{cap}_{p}$ | Capacity of plant $p$, if the plant is open | tonne | | $K^\text{cap}_{p}$ | Capacity of plant $p$, if the plant is open | tonne |
| $K^\text{disp-limit}_{pmt}$ | Maximum amount of material $m$ that can be disposed of at plant $p$ at time $t$ | tonne | | $K^\text{disp-limit}_{mt}$ | Maximum amount of material $m$ that can be disposed of (globally) at time $t$ | tonne |
| $K^\text{mix}_{pmt}$ | If plant $p$ receives one tonne of input material at time $t$, then $K^\text{mix}_{pmt}$ is the amount of product $m$ in this mix. Must be between zero and one, and the sum of these amounts must equal to one. | tonne | | $K^\text{disp-limit}_{mut}$ | Maximum amount of material $m$ that can be disposed of at plant/center $u$ at time $t$ | tonne |
| $K^\text{output}_{pmt}$ | Amount of material $m$ produced by plant $p$ at time $t$ for each tonne of input material processed | tonne | | $K^\text{mix}_{pmt}$ | If plant $p$ receives one tonne of input material at time $t$, then $K^\text{mix}_{pmt}$ is the amount of product $m$ in this mix. Must be between zero and one, and the sum of these amounts must equal to one. | tonne |
| $R^\text{tr}_{mt}$ | Cost to send material $m$ at time $t$ | \$/km-tonne | | $K^\text{output}_{pmt}$ | Amount of material $m$ produced by plant $p$ at time $t$ for each tonne of input material processed | tonne |
| $R^\text{collect}_{cmt}$ | Cost of collecting material $m$ at center $c$ at time $t$ | \$/tonne | | $R^\text{tr}_{mt}$ | Cost to send material $m$ at time $t$ | \$/km-tonne |
| $R^\text{disp}_{umt}$ | Cost to dispose of material at plant/center $u$ at time $t$ | \$/tonne | | $R^\text{collect}_{cmt}$ | Cost of collecting material $m$ at center $c$ at time $t$ | \$/tonne |
| $R^\text{fix}_{ut}$ | Fixed operating cost for plant/center $u$ at time $t$ | \$ | | $R^\text{disp}_{umt}$ | Cost to dispose of material at plant/center $u$ at time $t$ | \$/tonne |
| $R^\text{open}_{pt}$ | Cost to open plant $p$ at time $t$ | \$ | | $R^\text{fix}_{ut}$ | Fixed operating cost for plant/center $u$ at time $t$ | \$ |
| $R^\text{rev}_{ct}$ | Revenue for selling the input product of center $c$ at this center at time $t$ | \$/tonne | | $R^\text{open}_{pt}$ | Cost to open plant $p$ at time $t$ | \$ |
| $R^\text{var}_{pt}$ | Cost to process one tonne of input material at plant $p$ at time $t$ | \$/tonne | | $R^\text{rev}_{ct}$ | Revenue for selling the input product of center $c$ at this center at time $t$ | \$/tonne |
| $K^\text{out-fix}_{cmt}$ | Fixed amount of material $m$ collected at center $m$ at time $t$ | \$/tonne | | $R^\text{var}_{pt}$ | Cost to process one tonne of input material at plant $p$ at time $t$ | \$/tonne |
| $K^\text{out-var}_{c,m,i}$ | Factor used to calculate variable amount of material $m$ collected at center $m$. See `eq_z_collected` for more details. | -- | | $K^\text{out-fix}_{cmt}$ | Fixed amount of material $m$ collected at center $m$ at time $t$ | \$/tonne |
| $K^\text{out-var-len}_{cm}$ | Length of the $K^\text{out-var}_{c,m,*}$ vector. | -- | | $K^\text{out-var}_{c,m,i}$ | Factor used to calculate variable amount of material $m$ collected at center $m$. See `eq_z_collected` for more details. | -- |
| $K^\text{out-var-len}_{cm}$ | Length of the $K^\text{out-var}_{c,m,*}$ vector. | -- |
## Decision variables ## Decision variables
@ -196,7 +197,7 @@ The goals is to minimize a linear objective function with the following terms:
\end{align*} \end{align*}
``` ```
- Disposal limit at the plants (`eq_keep_open[p.name, t]`): - Disposal limit at the plants (`eq_disposal_limit[p.name, m.name, t]`):
```math ```math
\begin{align*} \begin{align*}
@ -255,3 +256,12 @@ The goals is to minimize a linear objective function with the following terms:
& \forall c \in C, m \in M^+_c, t \in T & \forall c \in C, m \in M^+_c, t \in T
\end{align*} \end{align*}
``` ```
- Global disposal limit (`eq_disposal_limit[m.name, t]`)
```math
\begin{align*}
& \sum_{p \in P} z^\text{disp}_{pmt} + \sum_{c \in C} z^\text{disp}_{cmt} \leq K^\text{disp-limit}_{mt}
& \forall m \in M, t \in T
\end{align*}
```

12
src/instance/parse.jl
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@ -20,9 +20,10 @@ function parse(json)::Instance
error("Invalid distance metric: $distance_metric_str") error("Invalid distance metric: $distance_metric_str")
end end
timeseries(x::Union{Nothing,Number}) = repeat([x], time_horizon) timeseries(::Nothing; null_val=nothing) = repeat([null_val], time_horizon)
timeseries(x::Array) = x timeseries(x::Number; null_val=nothing) = repeat([x], time_horizon)
timeseries(d::OrderedDict) = OrderedDict(k => timeseries(v) for (k, v) in d) timeseries(x::Array; null_val=nothing) = [xi === nothing ? null_val : xi for xi in x]
timeseries(d::OrderedDict; null_val=nothing) = OrderedDict(k => timeseries(v; null_val) for (k, v) in d)
# Read products # Read products
products = Product[] products = Product[]
@ -31,7 +32,8 @@ function parse(json)::Instance
tr_cost = timeseries(pdict["transportation cost (\$/km/tonne)"]) tr_cost = timeseries(pdict["transportation cost (\$/km/tonne)"])
tr_energy = timeseries(pdict["transportation energy (J/km/tonne)"]) tr_energy = timeseries(pdict["transportation energy (J/km/tonne)"])
tr_emissions = timeseries(pdict["transportation emissions (tonne/km/tonne)"]) tr_emissions = timeseries(pdict["transportation emissions (tonne/km/tonne)"])
prod = Product(; name, tr_cost, tr_energy, tr_emissions) disposal_limit = timeseries(pdict["disposal limit (tonne)"], null_val=Inf)
prod = Product(; name, tr_cost, tr_energy, tr_emissions, disposal_limit)
push!(products, prod) push!(products, prod)
products_by_name[name] = prod products_by_name[name] = prod
end end
@ -51,7 +53,7 @@ function parse(json)::Instance
outputs = [products_by_name[p] for p in cdict["outputs"]] outputs = [products_by_name[p] for p in cdict["outputs"]]
operating_cost = timeseries(cdict["operating cost (\$)"]) operating_cost = timeseries(cdict["operating cost (\$)"])
prod_dict(key, null_val) = OrderedDict( prod_dict(key, null_val) = OrderedDict(
p => [v === nothing ? null_val : v for v in timeseries(cdict[key][p.name])] p => timeseries(cdict[key][p.name]; null_val)
for p in outputs for p in outputs
) )
fixed_output = prod_dict("fixed output (tonne)", 0.0) fixed_output = prod_dict("fixed output (tonne)", 0.0)

1
src/instance/structs.jl
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@ -14,6 +14,7 @@ Base.@kwdef struct Product
tr_cost::Vector{Float64} tr_cost::Vector{Float64}
tr_energy::Vector{Float64} tr_energy::Vector{Float64}
tr_emissions::OrderedDict{String,Vector{Float64}} tr_emissions::OrderedDict{String,Vector{Float64}}
disposal_limit::Vector{Float64}
end end
Base.@kwdef struct Center Base.@kwdef struct Center

12
src/model/build.jl
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@ -298,6 +298,18 @@ function build_model(instance::Instance; optimizer, variable_names::Bool = false
@constraint(model, z_disp[c.name, m.name, t] <= c.disposal_limit[m][t]) @constraint(model, z_disp[c.name, m.name, t] <= c.disposal_limit[m][t])
end end
# Global disposal limit
eq_disposal_limit = _init(model, :eq_disposal_limit)
for m in products, t in T
isfinite(m.disposal_limit[t]) || continue
eq_disposal_limit[m.name, t] = @constraint(
model,
sum(z_disp[p.name, m.name, t] for p in plants if m in keys(p.output)) +
sum(z_disp[c.name, m.name, t] for c in centers if m in c.outputs) <=
m.disposal_limit[t]
)
end
if variable_names if variable_names
_set_names!(model) _set_names!(model)
end end

44
src/reports/centers.jl
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@ -8,6 +8,8 @@ using CSV
function centers_report(model)::DataFrame function centers_report(model)::DataFrame
df = DataFrame() df = DataFrame()
df."center" = String[] df."center" = String[]
df."latitude" = Float64[]
df."longitude" = Float64[]
df."year" = Int[] df."year" = Int[]
df."input product" = String[] df."input product" = String[]
df."input amount (tonne)" = Float64[] df."input amount (tonne)" = Float64[]
@ -31,14 +33,16 @@ function centers_report(model)::DataFrame
end end
push!( push!(
df, df,
[ Dict(
c.name, "center" => c.name,
t, "latitude" => c.latitude,
input_name, "longitude" => c.longitude,
_round(input), "year" => t,
_round(revenue), "input product" => input_name,
_round(c.operating_cost[t]), "input amount (tonne)" => _round(input),
], "revenue (\$)" => _round(revenue),
"operating cost (\$)" => _round(c.operating_cost[t]),
),
) )
end end
return df return df
@ -47,10 +51,13 @@ end
function center_outputs_report(model)::DataFrame function center_outputs_report(model)::DataFrame
df = DataFrame() df = DataFrame()
df."center" = String[] df."center" = String[]
df."latitude" = Float64[]
df."longitude" = Float64[]
df."output product" = String[] df."output product" = String[]
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."disposal limit (tonne)" = Float64[]
df."collection cost (\$)" = Float64[] df."collection cost (\$)" = Float64[]
df."disposal cost (\$)" = Float64[] df."disposal cost (\$)" = Float64[]
@ -72,15 +79,18 @@ function center_outputs_report(model)::DataFrame
end end
push!( push!(
df, df,
[ Dict(
c.name, "center" => c.name,
m.name, "latitude" => c.latitude,
t, "longitude" => c.longitude,
_round(collected), "output product" => m.name,
_round(disposed), "year" => t,
_round(collection_cost), "amount collected (tonne)" => _round(collected),
_round(disposal_cost), "amount disposed (tonne)" => _round(disposed),
], "disposal limit (tonne)" => _round(c.disposal_limit[m][t]),
"collection cost (\$)" => _round(collection_cost),
"disposal cost (\$)" => _round(disposal_cost),
),
) )
end end
return df return df

50
src/reports/plants.jl
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@ -8,6 +8,10 @@ using CSV
function plants_report(model)::DataFrame function plants_report(model)::DataFrame
df = DataFrame() df = DataFrame()
df."plant" = String[] df."plant" = String[]
df."latitude" = Float64[]
df."longitude" = Float64[]
df."initial capacity" = Float64[]
df."current capacity" = Float64[]
df."year" = Int[] df."year" = Int[]
df."operational?" = Bool[] df."operational?" = Bool[]
df."input amount (tonne)" = Float64[] df."input amount (tonne)" = Float64[]
@ -21,23 +25,36 @@ 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])
# Opening cost
opening_cost = 0 opening_cost = 0
if value(model[:x][p.name, t]) > 0.5 && value(model[:x][p.name, t-1]) < 0.5 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] opening_cost = p.capacities[1].opening_cost[t]
end end
# Plant size
curr_capacity = 0
if operational
curr_capacity = p.capacities[1].size
end
fix_operating_cost = (operational ? p.capacities[1].fix_operating_cost[t] : 0) fix_operating_cost = (operational ? p.capacities[1].fix_operating_cost[t] : 0)
var_operating_cost = input * p.capacities[1].var_operating_cost[t] var_operating_cost = input * p.capacities[1].var_operating_cost[t]
push!( push!(
df, df,
[ Dict(
p.name, "plant" => p.name,
t, "latitude" => p.latitude,
operational, "longitude" => p.longitude,
_round(input), "initial capacity" => p.initial_capacity,
_round(opening_cost), "current capacity" => curr_capacity,
_round(fix_operating_cost), "year" => t,
_round(var_operating_cost), "operational?" => operational,
], "input amount (tonne)" => _round(input),
"opening cost (\$)" => _round(opening_cost),
"fixed operating cost (\$)" => _round(fix_operating_cost),
"variable operating cost (\$)" => _round(var_operating_cost),
),
) )
end end
return df return df
@ -46,10 +63,13 @@ end
function plant_outputs_report(model)::DataFrame function plant_outputs_report(model)::DataFrame
df = DataFrame() df = DataFrame()
df."plant" = String[] df."plant" = String[]
df."latitude" = Float64[]
df."longitude" = Float64[]
df."output product" = String[] df."output product" = String[]
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 limit (tonne)" = Float64[]
df."disposal cost (\$)" = Float64[] df."disposal cost (\$)" = Float64[]
plants = model.ext[:instance].plants plants = model.ext[:instance].plants
@ -61,7 +81,17 @@ function plant_outputs_report(model)::DataFrame
disposal_cost = p.disposal_cost[m][t] * disposed disposal_cost = p.disposal_cost[m][t] * disposed
push!( push!(
df, df,
[p.name, m.name, t, _round(produced), _round(disposed), _round(disposal_cost)], Dict(
"plant" => p.name,
"latitude" => p.latitude,
"longitude" => p.longitude,
"output product" => m.name,
"year" => t,
"amount produced (tonne)" => _round(produced),
"amount disposed (tonne)" => _round(disposed),
"disposal limit (tonne)" => _round(p.disposal_limit[m][t]),
"disposal cost (\$)" => _round(disposal_cost),
),
) )
end end
return df return df

22
src/reports/transportation.jl
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@ -36,17 +36,17 @@ function transportation_report(model)::DataFrame
end end
push!( push!(
df, df,
[ Dict(
p1.name, "source" => p1.name,
p2.name, "destination" => p2.name,
m.name, "product" => m.name,
t, "year" => t,
_round(amount), "amount sent (tonne)" => _round(amount),
_round(distance), "distance (km)" => _round(distance),
_round(tr_cost), "transportation cost (\$)" => _round(tr_cost),
_round(revenue), "center revenue (\$)" => _round(revenue),
_round(collection_cost), "center collection cost (\$)" => _round(collection_cost),
], ),
) )
end end
return df return df

42
test/fixtures/boat_example.jl vendored
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@ -69,6 +69,7 @@ function run_boat_example()
"transportation cost (\$/km/tonne)" => 0.30, "transportation cost (\$/km/tonne)" => 0.30,
"transportation energy (J/km/tonne)" => 7_500, "transportation energy (J/km/tonne)" => 7_500,
"transportation emissions (tonne/km/tonne)" => dict("CO2" => 2.68), "transportation emissions (tonne/km/tonne)" => dict("CO2" => 2.68),
"disposal limit (tonne)" => nothing,
) )
boat_factory = dict( boat_factory = dict(
@ -121,10 +122,8 @@ function run_boat_example()
"initial capacity (tonne)" => 0, "initial capacity (tonne)" => 0,
) )
lat_lon_dict(city_location) = dict( lat_lon_dict(city_location) =
"latitude (deg)" => city_location[1], dict("latitude (deg)" => city_location[1], "longitude (deg)" => city_location[2])
"longitude (deg)" => city_location[2],
)
data = dict( data = dict(
"parameters" => parameters, "parameters" => parameters,
@ -132,36 +131,29 @@ function run_boat_example()
dict("Nail" => prod, "Wood" => prod, "NewBoat" => prod, "UsedBoat" => prod), dict("Nail" => prod, "Wood" => prod, "NewBoat" => prod, "UsedBoat" => prod),
"centers" => merge( "centers" => merge(
dict( dict(
"NailFactory ($city_name)" => merge( "NailFactory ($city_name)" =>
nail_factory, merge(nail_factory, lat_lon_dict(city_location)) for
lat_lon_dict(city_location) (city_name, city_location) in cities_b
) for (city_name, city_location) in cities_b
), ),
dict( dict(
"Forest ($city_name)" => merge( "Forest ($city_name)" => merge(forest, lat_lon_dict(city_location))
forest, for (city_name, city_location) in cities_b
lat_lon_dict(city_location)
) for (city_name, city_location) in cities_b
), ),
dict( dict(
"Retail ($city_name)" => merge( "Retail ($city_name)" => merge(retail, lat_lon_dict(city_location))
retail, for (city_name, city_location) in cities_a
lat_lon_dict(city_location)
) for (city_name, city_location) in cities_a
), ),
), ),
"plants" => merge( "plants" => merge(
dict( dict(
"BoatFactory ($city_name)" => merge( "BoatFactory ($city_name)" =>
boat_factory, merge(boat_factory, lat_lon_dict(city_location)) for
lat_lon_dict(city_location) (city_name, city_location) in cities_a
) for (city_name, city_location) in cities_a
), ),
dict( dict(
"RecyclingPlant ($city_name)" => merge( "RecyclingPlant ($city_name)" =>
recycling_plant, merge(recycling_plant, lat_lon_dict(city_location)) for
lat_lon_dict(city_location) (city_name, city_location) in cities_a
) for (city_name, city_location) in cities_a
), ),
), ),
) )
@ -186,4 +178,4 @@ function run_boat_example()
RELOG.write_transportation_report(model, fixture("boat_example/transportation.csv")) RELOG.write_transportation_report(model, fixture("boat_example/transportation.csv"))
return return
end end

12
test/fixtures/boat_example.json vendored
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@ -12,28 +12,32 @@
"transportation energy (J/km/tonne)": 7500, "transportation energy (J/km/tonne)": 7500,
"transportation emissions (tonne/km/tonne)": { "transportation emissions (tonne/km/tonne)": {
"CO2": 2.68 "CO2": 2.68
} },
"disposal limit (tonne)": null
}, },
"Wood": { "Wood": {
"transportation cost ($/km/tonne)": 0.3, "transportation cost ($/km/tonne)": 0.3,
"transportation energy (J/km/tonne)": 7500, "transportation energy (J/km/tonne)": 7500,
"transportation emissions (tonne/km/tonne)": { "transportation emissions (tonne/km/tonne)": {
"CO2": 2.68 "CO2": 2.68
} },
"disposal limit (tonne)": null
}, },
"NewBoat": { "NewBoat": {
"transportation cost ($/km/tonne)": 0.3, "transportation cost ($/km/tonne)": 0.3,
"transportation energy (J/km/tonne)": 7500, "transportation energy (J/km/tonne)": 7500,
"transportation emissions (tonne/km/tonne)": { "transportation emissions (tonne/km/tonne)": {
"CO2": 2.68 "CO2": 2.68
} },
"disposal limit (tonne)": null
}, },
"UsedBoat": { "UsedBoat": {
"transportation cost ($/km/tonne)": 0.3, "transportation cost ($/km/tonne)": 0.3,
"transportation energy (J/km/tonne)": 7500, "transportation energy (J/km/tonne)": 7500,
"transportation emissions (tonne/km/tonne)": { "transportation emissions (tonne/km/tonne)": {
"CO2": 2.68 "CO2": 2.68
} },
"disposal limit (tonne)": null
} }
}, },
"centers": { "centers": {

162
test/fixtures/boat_example/center_outputs.csv vendored
Unescape View File

@ -1,81 +1,81 @@
center,output product,year,amount collected (tonne),amount disposed (tonne),collection cost ($),disposal cost ($) center,latitude,longitude,output product,year,amount collected (tonne),amount disposed (tonne),disposal limit (tonne),collection cost ($),disposal cost ($)
NailFactory (Chicago),Nail,1,1.0,0.0,1000.0,0.0 NailFactory (Chicago),41.881832,-87.623177,Nail,1,1.0,0.0,Inf,1000.0,0.0
NailFactory (Chicago),Nail,2,1.0,0.0,1000.0,0.0 NailFactory (Chicago),41.881832,-87.623177,Nail,2,1.0,0.0,Inf,1000.0,0.0
NailFactory (Chicago),Nail,3,1.0,-0.0,1000.0,-0.0 NailFactory (Chicago),41.881832,-87.623177,Nail,3,1.0,0.0,Inf,1000.0,0.0
NailFactory (Chicago),Nail,4,1.0,0.0,1000.0,0.0 NailFactory (Chicago),41.881832,-87.623177,Nail,4,1.0,0.0,Inf,1000.0,0.0
NailFactory (Chicago),Nail,5,1.0,0.0,1000.0,0.0 NailFactory (Chicago),41.881832,-87.623177,Nail,5,1.0,0.0,Inf,1000.0,0.0
NailFactory (Phoenix),Nail,1,1.0,0.0,1000.0,0.0 NailFactory (Phoenix),33.448376,-112.074036,Nail,1,1.0,0.0,Inf,1000.0,0.0
NailFactory (Phoenix),Nail,2,1.0,0.0,1000.0,0.0 NailFactory (Phoenix),33.448376,-112.074036,Nail,2,1.0,0.0,Inf,1000.0,0.0
NailFactory (Phoenix),Nail,3,1.0,0.0,1000.0,0.0 NailFactory (Phoenix),33.448376,-112.074036,Nail,3,1.0,0.0,Inf,1000.0,0.0
NailFactory (Phoenix),Nail,4,1.0,0.0,1000.0,0.0 NailFactory (Phoenix),33.448376,-112.074036,Nail,4,1.0,0.0,Inf,1000.0,0.0
NailFactory (Phoenix),Nail,5,1.0,0.0,1000.0,0.0 NailFactory (Phoenix),33.448376,-112.074036,Nail,5,1.0,0.0,Inf,1000.0,0.0
NailFactory (Dallas),Nail,1,1.0,-0.0,1000.0,-0.0 NailFactory (Dallas),32.776664,-96.796988,Nail,1,1.0,0.0,Inf,1000.0,0.0
NailFactory (Dallas),Nail,2,1.0,-0.0,1000.0,-0.0 NailFactory (Dallas),32.776664,-96.796988,Nail,2,1.0,-0.0,Inf,1000.0,-0.0
NailFactory (Dallas),Nail,3,1.0,-0.0,1000.0,-0.0 NailFactory (Dallas),32.776664,-96.796988,Nail,3,1.0,0.0,Inf,1000.0,0.0
NailFactory (Dallas),Nail,4,1.0,0.0,1000.0,0.0 NailFactory (Dallas),32.776664,-96.796988,Nail,4,1.0,-0.0,Inf,1000.0,-0.0
NailFactory (Dallas),Nail,5,1.0,0.0,1000.0,0.0 NailFactory (Dallas),32.776664,-96.796988,Nail,5,1.0,-0.0,Inf,1000.0,-0.0
Forest (Chicago),Wood,1,100.0,100.0,0.0,0.0 Forest (Chicago),41.881832,-87.623177,Wood,1,100.0,100.0,Inf,0.0,0.0
Forest (Chicago),Wood,2,100.0,100.0,0.0,0.0 Forest (Chicago),41.881832,-87.623177,Wood,2,100.0,100.0,Inf,0.0,0.0
Forest (Chicago),Wood,3,100.0,100.0,0.0,0.0 Forest (Chicago),41.881832,-87.623177,Wood,3,100.0,100.0,Inf,0.0,0.0
Forest (Chicago),Wood,4,100.0,100.0,0.0,0.0 Forest (Chicago),41.881832,-87.623177,Wood,4,100.0,100.0,Inf,0.0,0.0
Forest (Chicago),Wood,5,100.0,100.0,0.0,0.0 Forest (Chicago),41.881832,-87.623177,Wood,5,100.0,100.0,Inf,0.0,0.0
Forest (Phoenix),Wood,1,100.0,100.0,0.0,0.0 Forest (Phoenix),33.448376,-112.074036,Wood,1,100.0,100.0,Inf,0.0,0.0
Forest (Phoenix),Wood,2,100.0,100.0,0.0,0.0 Forest (Phoenix),33.448376,-112.074036,Wood,2,100.0,100.0,Inf,0.0,0.0
Forest (Phoenix),Wood,3,100.0,100.0,0.0,0.0 Forest (Phoenix),33.448376,-112.074036,Wood,3,100.0,100.0,Inf,0.0,0.0
Forest (Phoenix),Wood,4,100.0,100.0,0.0,0.0 Forest (Phoenix),33.448376,-112.074036,Wood,4,100.0,100.0,Inf,0.0,0.0
Forest (Phoenix),Wood,5,100.0,100.0,0.0,0.0 Forest (Phoenix),33.448376,-112.074036,Wood,5,100.0,100.0,Inf,0.0,0.0
Forest (Dallas),Wood,1,100.0,43.0,14250.0,0.0 Forest (Dallas),32.776664,-96.796988,Wood,1,100.0,43.0,Inf,14250.0,0.0
Forest (Dallas),Wood,2,100.0,43.0,14250.0,0.0 Forest (Dallas),32.776664,-96.796988,Wood,2,100.0,43.0,Inf,14250.0,0.0
Forest (Dallas),Wood,3,100.0,43.0,14250.0,0.0 Forest (Dallas),32.776664,-96.796988,Wood,3,100.0,43.0,Inf,14250.0,0.0
Forest (Dallas),Wood,4,100.0,43.0,14250.0,0.0 Forest (Dallas),32.776664,-96.796988,Wood,4,100.0,43.0,Inf,14250.0,0.0
Forest (Dallas),Wood,5,100.0,43.0,14250.0,0.0 Forest (Dallas),32.776664,-96.796988,Wood,5,100.0,43.0,Inf,14250.0,0.0
Retail (Chicago),UsedBoat,1,0.0,0.0,0.0,0.0 Retail (Chicago),41.881832,-87.623177,UsedBoat,1,0.0,0.0,0.0,0.0,0.0
Retail (Chicago),UsedBoat,2,0.0,0.0,0.0,0.0 Retail (Chicago),41.881832,-87.623177,UsedBoat,2,0.0,0.0,0.0,0.0,0.0
Retail (Chicago),UsedBoat,3,0.0,0.0,0.0,0.0 Retail (Chicago),41.881832,-87.623177,UsedBoat,3,0.0,0.0,0.0,0.0,0.0
Retail (Chicago),UsedBoat,4,0.0,0.0,0.0,0.0 Retail (Chicago),41.881832,-87.623177,UsedBoat,4,0.0,0.0,0.0,0.0,0.0
Retail (Chicago),UsedBoat,5,0.0,0.0,0.0,0.0 Retail (Chicago),41.881832,-87.623177,UsedBoat,5,0.0,0.0,0.0,0.0,0.0
Retail (New York City),UsedBoat,1,0.0,0.0,0.0,0.0 Retail (New York City),40.712776,-74.005974,UsedBoat,1,0.0,0.0,0.0,0.0,0.0
Retail (New York City),UsedBoat,2,0.0,0.0,0.0,0.0 Retail (New York City),40.712776,-74.005974,UsedBoat,2,0.0,0.0,0.0,0.0,0.0
Retail (New York City),UsedBoat,3,0.0,0.0,0.0,0.0 Retail (New York City),40.712776,-74.005974,UsedBoat,3,0.0,0.0,0.0,0.0,0.0
Retail (New York City),UsedBoat,4,0.0,0.0,0.0,0.0 Retail (New York City),40.712776,-74.005974,UsedBoat,4,0.0,0.0,0.0,0.0,0.0
Retail (New York City),UsedBoat,5,0.0,0.0,0.0,0.0 Retail (New York City),40.712776,-74.005974,UsedBoat,5,0.0,0.0,0.0,0.0,0.0
Retail (Los Angeles),UsedBoat,1,0.0,0.0,0.0,0.0 Retail (Los Angeles),34.052235,-118.243683,UsedBoat,1,0.0,0.0,0.0,0.0,0.0
Retail (Los Angeles),UsedBoat,2,0.0,0.0,0.0,0.0 Retail (Los Angeles),34.052235,-118.243683,UsedBoat,2,0.0,0.0,0.0,0.0,0.0
Retail (Los Angeles),UsedBoat,3,0.0,0.0,0.0,0.0 Retail (Los Angeles),34.052235,-118.243683,UsedBoat,3,0.0,0.0,0.0,0.0,0.0
Retail (Los Angeles),UsedBoat,4,0.0,0.0,0.0,0.0 Retail (Los Angeles),34.052235,-118.243683,UsedBoat,4,0.0,0.0,0.0,0.0,0.0
Retail (Los Angeles),UsedBoat,5,0.0,0.0,0.0,0.0 Retail (Los Angeles),34.052235,-118.243683,UsedBoat,5,-0.0,0.0,0.0,-0.0,0.0
Retail (Houston),UsedBoat,1,0.0,0.0,0.0,0.0 Retail (Houston),29.760427,-95.369804,UsedBoat,1,0.0,0.0,0.0,0.0,0.0
Retail (Houston),UsedBoat,2,0.0,0.0,0.0,0.0 Retail (Houston),29.760427,-95.369804,UsedBoat,2,0.0,0.0,0.0,0.0,0.0
Retail (Houston),UsedBoat,3,0.0,0.0,0.0,0.0 Retail (Houston),29.760427,-95.369804,UsedBoat,3,0.0,0.0,0.0,0.0,0.0
Retail (Houston),UsedBoat,4,0.0,0.0,0.0,0.0 Retail (Houston),29.760427,-95.369804,UsedBoat,4,0.0,0.0,0.0,0.0,0.0
Retail (Houston),UsedBoat,5,0.0,0.0,0.0,0.0 Retail (Houston),29.760427,-95.369804,UsedBoat,5,-0.0,0.0,0.0,-0.0,0.0
Retail (Phoenix),UsedBoat,1,0.0,0.0,0.0,0.0 Retail (Phoenix),33.448376,-112.074036,UsedBoat,1,0.0,0.0,0.0,0.0,0.0
Retail (Phoenix),UsedBoat,2,0.0,0.0,0.0,0.0 Retail (Phoenix),33.448376,-112.074036,UsedBoat,2,0.0,0.0,0.0,0.0,0.0
Retail (Phoenix),UsedBoat,3,0.0,0.0,0.0,0.0 Retail (Phoenix),33.448376,-112.074036,UsedBoat,3,0.0,0.0,0.0,0.0,0.0
Retail (Phoenix),UsedBoat,4,0.0,0.0,0.0,0.0 Retail (Phoenix),33.448376,-112.074036,UsedBoat,4,-0.0,0.0,0.0,-0.0,0.0
Retail (Phoenix),UsedBoat,5,0.0,0.0,0.0,0.0 Retail (Phoenix),33.448376,-112.074036,UsedBoat,5,-0.0,0.0,0.0,-0.0,0.0
Retail (Philadelphia),UsedBoat,1,0.0,0.0,0.0,0.0 Retail (Philadelphia),39.952583,-75.165222,UsedBoat,1,0.0,0.0,0.0,0.0,0.0
Retail (Philadelphia),UsedBoat,2,0.0,0.0,0.0,0.0 Retail (Philadelphia),39.952583,-75.165222,UsedBoat,2,0.0,0.0,0.0,0.0,0.0
Retail (Philadelphia),UsedBoat,3,0.0,0.0,0.0,0.0 Retail (Philadelphia),39.952583,-75.165222,UsedBoat,3,0.0,0.0,0.0,0.0,0.0
Retail (Philadelphia),UsedBoat,4,0.0,0.0,0.0,0.0 Retail (Philadelphia),39.952583,-75.165222,UsedBoat,4,0.0,0.0,0.0,0.0,0.0
Retail (Philadelphia),UsedBoat,5,0.0,0.0,0.0,0.0 Retail (Philadelphia),39.952583,-75.165222,UsedBoat,5,0.0,0.0,0.0,0.0,0.0
Retail (San Antonio),UsedBoat,1,0.0,0.0,0.0,0.0 Retail (San Antonio),29.424122,-98.493629,UsedBoat,1,0.0,0.0,0.0,0.0,0.0
Retail (San Antonio),UsedBoat,2,0.0,0.0,0.0,0.0 Retail (San Antonio),29.424122,-98.493629,UsedBoat,2,0.0,0.0,0.0,0.0,0.0
Retail (San Antonio),UsedBoat,3,0.0,0.0,0.0,0.0 Retail (San Antonio),29.424122,-98.493629,UsedBoat,3,0.0,0.0,0.0,0.0,0.0
Retail (San Antonio),UsedBoat,4,0.0,0.0,0.0,0.0 Retail (San Antonio),29.424122,-98.493629,UsedBoat,4,0.0,0.0,0.0,0.0,0.0
Retail (San Antonio),UsedBoat,5,0.0,0.0,0.0,0.0 Retail (San Antonio),29.424122,-98.493629,UsedBoat,5,0.0,0.0,0.0,0.0,0.0
Retail (San Diego),UsedBoat,1,0.0,0.0,0.0,0.0 Retail (San Diego),32.715736,-117.161087,UsedBoat,1,0.0,0.0,0.0,0.0,0.0
Retail (San Diego),UsedBoat,2,0.0,0.0,0.0,0.0 Retail (San Diego),32.715736,-117.161087,UsedBoat,2,0.0,0.0,0.0,0.0,0.0
Retail (San Diego),UsedBoat,3,0.0,0.0,0.0,0.0 Retail (San Diego),32.715736,-117.161087,UsedBoat,3,0.0,0.0,0.0,0.0,0.0
Retail (San Diego),UsedBoat,4,0.0,0.0,0.0,0.0 Retail (San Diego),32.715736,-117.161087,UsedBoat,4,0.0,0.0,0.0,0.0,0.0
Retail (San Diego),UsedBoat,5,0.0,0.0,0.0,0.0 Retail (San Diego),32.715736,-117.161087,UsedBoat,5,0.0,0.0,0.0,0.0,0.0
Retail (Dallas),UsedBoat,1,6.31579,0.0,631.57895,0.0 Retail (Dallas),32.776664,-96.796988,UsedBoat,1,6.31579,0.0,0.0,631.57895,0.0
Retail (Dallas),UsedBoat,2,22.93629,0.0,2293.62881,0.0 Retail (Dallas),32.776664,-96.796988,UsedBoat,2,22.93629,0.0,0.0,2293.62881,0.0
Retail (Dallas),UsedBoat,3,31.7714,0.0,3177.13952,0.0 Retail (Dallas),32.776664,-96.796988,UsedBoat,3,31.7714,0.0,0.0,3177.13952,0.0
Retail (Dallas),UsedBoat,4,33.80867,0.0,3380.86724,0.0 Retail (Dallas),32.776664,-96.796988,UsedBoat,4,33.80867,0.0,0.0,3380.86724,0.0
Retail (Dallas),UsedBoat,5,34.54174,0.0,3454.17409,0.0 Retail (Dallas),32.776664,-96.796988,UsedBoat,5,34.54174,0.0,0.0,3454.17409,0.0
Retail (San Jose),UsedBoat,1,0.0,0.0,0.0,0.0 Retail (San Jose),37.338208,-121.886329,UsedBoat,1,0.0,0.0,0.0,0.0,0.0
Retail (San Jose),UsedBoat,2,0.0,0.0,0.0,0.0 Retail (San Jose),37.338208,-121.886329,UsedBoat,2,0.0,0.0,0.0,0.0,0.0
Retail (San Jose),UsedBoat,3,0.0,0.0,0.0,0.0 Retail (San Jose),37.338208,-121.886329,UsedBoat,3,0.0,0.0,0.0,0.0,0.0
Retail (San Jose),UsedBoat,4,0.0,0.0,0.0,0.0 Retail (San Jose),37.338208,-121.886329,UsedBoat,4,0.0,0.0,0.0,0.0,0.0
Retail (San Jose),UsedBoat,5,0.0,0.0,0.0,0.0 Retail (San Jose),37.338208,-121.886329,UsedBoat,5,0.0,0.0,0.0,0.0,0.0

1 center latitude longitude output product year amount collected (tonne) amount disposed (tonne) disposal limit (tonne) collection cost ($) disposal cost ($)
2 NailFactory (Chicago) 41.881832 -87.623177 Nail 1 1.0 0.0 Inf 1000.0 0.0
3 NailFactory (Chicago) 41.881832 -87.623177 Nail 2 1.0 0.0 Inf 1000.0 0.0
4 NailFactory (Chicago) 41.881832 -87.623177 Nail 3 1.0 -0.0 0.0 Inf 1000.0 -0.0 0.0
5 NailFactory (Chicago) 41.881832 -87.623177 Nail 4 1.0 0.0 Inf 1000.0 0.0
6 NailFactory (Chicago) 41.881832 -87.623177 Nail 5 1.0 0.0 Inf 1000.0 0.0
7 NailFactory (Phoenix) 33.448376 -112.074036 Nail 1 1.0 0.0 Inf 1000.0 0.0
8 NailFactory (Phoenix) 33.448376 -112.074036 Nail 2 1.0 0.0 Inf 1000.0 0.0
9 NailFactory (Phoenix) 33.448376 -112.074036 Nail 3 1.0 0.0 Inf 1000.0 0.0
10 NailFactory (Phoenix) 33.448376 -112.074036 Nail 4 1.0 0.0 Inf 1000.0 0.0
11 NailFactory (Phoenix) 33.448376 -112.074036 Nail 5 1.0 0.0 Inf 1000.0 0.0
12 NailFactory (Dallas) 32.776664 -96.796988 Nail 1 1.0 -0.0 0.0 Inf 1000.0 -0.0 0.0
13 NailFactory (Dallas) 32.776664 -96.796988 Nail 2 1.0 -0.0 Inf 1000.0 -0.0
14 NailFactory (Dallas) 32.776664 -96.796988 Nail 3 1.0 -0.0 0.0 Inf 1000.0 -0.0 0.0
15 NailFactory (Dallas) 32.776664 -96.796988 Nail 4 1.0 0.0 -0.0 Inf 1000.0 0.0 -0.0
16 NailFactory (Dallas) 32.776664 -96.796988 Nail 5 1.0 0.0 -0.0 Inf 1000.0 0.0 -0.0
17 Forest (Chicago) 41.881832 -87.623177 Wood 1 100.0 100.0 Inf 0.0 0.0
18 Forest (Chicago) 41.881832 -87.623177 Wood 2 100.0 100.0 Inf 0.0 0.0
19 Forest (Chicago) 41.881832 -87.623177 Wood 3 100.0 100.0 Inf 0.0 0.0
20 Forest (Chicago) 41.881832 -87.623177 Wood 4 100.0 100.0 Inf 0.0 0.0
21 Forest (Chicago) 41.881832 -87.623177 Wood 5 100.0 100.0 Inf 0.0 0.0
22 Forest (Phoenix) 33.448376 -112.074036 Wood 1 100.0 100.0 Inf 0.0 0.0
23 Forest (Phoenix) 33.448376 -112.074036 Wood 2 100.0 100.0 Inf 0.0 0.0
24 Forest (Phoenix) 33.448376 -112.074036 Wood 3 100.0 100.0 Inf 0.0 0.0
25 Forest (Phoenix) 33.448376 -112.074036 Wood 4 100.0 100.0 Inf 0.0 0.0
26 Forest (Phoenix) 33.448376 -112.074036 Wood 5 100.0 100.0 Inf 0.0 0.0
27 Forest (Dallas) 32.776664 -96.796988 Wood 1 100.0 43.0 Inf 14250.0 0.0
28 Forest (Dallas) 32.776664 -96.796988 Wood 2 100.0 43.0 Inf 14250.0 0.0
29 Forest (Dallas) 32.776664 -96.796988 Wood 3 100.0 43.0 Inf 14250.0 0.0
30 Forest (Dallas) 32.776664 -96.796988 Wood 4 100.0 43.0 Inf 14250.0 0.0
31 Forest (Dallas) 32.776664 -96.796988 Wood 5 100.0 43.0 Inf 14250.0 0.0
32 Retail (Chicago) 41.881832 -87.623177 UsedBoat 1 0.0 0.0 0.0 0.0 0.0
33 Retail (Chicago) 41.881832 -87.623177 UsedBoat 2 0.0 0.0 0.0 0.0 0.0
34 Retail (Chicago) 41.881832 -87.623177 UsedBoat 3 0.0 0.0 0.0 0.0 0.0
35 Retail (Chicago) 41.881832 -87.623177 UsedBoat 4 0.0 0.0 0.0 0.0 0.0
36 Retail (Chicago) 41.881832 -87.623177 UsedBoat 5 0.0 0.0 0.0 0.0 0.0
37 Retail (New York City) 40.712776 -74.005974 UsedBoat 1 0.0 0.0 0.0 0.0 0.0
38 Retail (New York City) 40.712776 -74.005974 UsedBoat 2 0.0 0.0 0.0 0.0 0.0
39 Retail (New York City) 40.712776 -74.005974 UsedBoat 3 0.0 0.0 0.0 0.0 0.0
40 Retail (New York City) 40.712776 -74.005974 UsedBoat 4 0.0 0.0 0.0 0.0 0.0
41 Retail (New York City) 40.712776 -74.005974 UsedBoat 5 0.0 0.0 0.0 0.0 0.0
42 Retail (Los Angeles) 34.052235 -118.243683 UsedBoat 1 0.0 0.0 0.0 0.0 0.0
43 Retail (Los Angeles) 34.052235 -118.243683 UsedBoat 2 0.0 0.0 0.0 0.0 0.0
44 Retail (Los Angeles) 34.052235 -118.243683 UsedBoat 3 0.0 0.0 0.0 0.0 0.0
45 Retail (Los Angeles) 34.052235 -118.243683 UsedBoat 4 0.0 0.0 0.0 0.0 0.0
46 Retail (Los Angeles) 34.052235 -118.243683 UsedBoat 5 0.0 -0.0 0.0 0.0 0.0 -0.0 0.0
47 Retail (Houston) 29.760427 -95.369804 UsedBoat 1 0.0 0.0 0.0 0.0 0.0
48 Retail (Houston) 29.760427 -95.369804 UsedBoat 2 0.0 0.0 0.0 0.0 0.0
49 Retail (Houston) 29.760427 -95.369804 UsedBoat 3 0.0 0.0 0.0 0.0 0.0
50 Retail (Houston) 29.760427 -95.369804 UsedBoat 4 0.0 0.0 0.0 0.0 0.0
51 Retail (Houston) 29.760427 -95.369804 UsedBoat 5 0.0 -0.0 0.0 0.0 0.0 -0.0 0.0
52 Retail (Phoenix) 33.448376 -112.074036 UsedBoat 1 0.0 0.0 0.0 0.0 0.0
53 Retail (Phoenix) 33.448376 -112.074036 UsedBoat 2 0.0 0.0 0.0 0.0 0.0
54 Retail (Phoenix) 33.448376 -112.074036 UsedBoat 3 0.0 0.0 0.0 0.0 0.0
55 Retail (Phoenix) 33.448376 -112.074036 UsedBoat 4 0.0 -0.0 0.0 0.0 0.0 -0.0 0.0
56 Retail (Phoenix) 33.448376 -112.074036 UsedBoat 5 0.0 -0.0 0.0 0.0 0.0 -0.0 0.0
57 Retail (Philadelphia) 39.952583 -75.165222 UsedBoat 1 0.0 0.0 0.0 0.0 0.0
58 Retail (Philadelphia) 39.952583 -75.165222 UsedBoat 2 0.0 0.0 0.0 0.0 0.0
59 Retail (Philadelphia) 39.952583 -75.165222 UsedBoat 3 0.0 0.0 0.0 0.0 0.0
60 Retail (Philadelphia) 39.952583 -75.165222 UsedBoat 4 0.0 0.0 0.0 0.0 0.0
61 Retail (Philadelphia) 39.952583 -75.165222 UsedBoat 5 0.0 0.0 0.0 0.0 0.0
62 Retail (San Antonio) 29.424122 -98.493629 UsedBoat 1 0.0 0.0 0.0 0.0 0.0
63 Retail (San Antonio) 29.424122 -98.493629 UsedBoat 2 0.0 0.0 0.0 0.0 0.0
64 Retail (San Antonio) 29.424122 -98.493629 UsedBoat 3 0.0 0.0 0.0 0.0 0.0
65 Retail (San Antonio) 29.424122 -98.493629 UsedBoat 4 0.0 0.0 0.0 0.0 0.0
66 Retail (San Antonio) 29.424122 -98.493629 UsedBoat 5 0.0 0.0 0.0 0.0 0.0
67 Retail (San Diego) 32.715736 -117.161087 UsedBoat 1 0.0 0.0 0.0 0.0 0.0
68 Retail (San Diego) 32.715736 -117.161087 UsedBoat 2 0.0 0.0 0.0 0.0 0.0
69 Retail (San Diego) 32.715736 -117.161087 UsedBoat 3 0.0 0.0 0.0 0.0 0.0
70 Retail (San Diego) 32.715736 -117.161087 UsedBoat 4 0.0 0.0 0.0 0.0 0.0
71 Retail (San Diego) 32.715736 -117.161087 UsedBoat 5 0.0 0.0 0.0 0.0 0.0
72 Retail (Dallas) 32.776664 -96.796988 UsedBoat 1 6.31579 0.0 0.0 631.57895 0.0
73 Retail (Dallas) 32.776664 -96.796988 UsedBoat 2 22.93629 0.0 0.0 2293.62881 0.0
74 Retail (Dallas) 32.776664 -96.796988 UsedBoat 3 31.7714 0.0 0.0 3177.13952 0.0
75 Retail (Dallas) 32.776664 -96.796988 UsedBoat 4 33.80867 0.0 0.0 3380.86724 0.0
76 Retail (Dallas) 32.776664 -96.796988 UsedBoat 5 34.54174 0.0 0.0 3454.17409 0.0
77 Retail (San Jose) 37.338208 -121.886329 UsedBoat 1 0.0 0.0 0.0 0.0 0.0
78 Retail (San Jose) 37.338208 -121.886329 UsedBoat 2 0.0 0.0 0.0 0.0 0.0
79 Retail (San Jose) 37.338208 -121.886329 UsedBoat 3 0.0 0.0 0.0 0.0 0.0
80 Retail (San Jose) 37.338208 -121.886329 UsedBoat 4 0.0 0.0 0.0 0.0 0.0
81 Retail (San Jose) 37.338208 -121.886329 UsedBoat 5 0.0 0.0 0.0 0.0 0.0

162
test/fixtures/boat_example/centers.csv vendored
Unescape View File

@ -1,81 +1,81 @@
center,year,input product,input amount (tonne),revenue ($),operating cost ($) center,latitude,longitude,year,input product,input amount (tonne),revenue ($),operating cost ($)
NailFactory (Chicago),1,,0.0,0.0,0.0 NailFactory (Chicago),41.881832,-87.623177,1,,0.0,0.0,0.0
NailFactory (Chicago),2,,0.0,0.0,0.0 NailFactory (Chicago),41.881832,-87.623177,2,,0.0,0.0,0.0
NailFactory (Chicago),3,,0.0,0.0,0.0 NailFactory (Chicago),41.881832,-87.623177,3,,0.0,0.0,0.0
NailFactory (Chicago),4,,0.0,0.0,0.0 NailFactory (Chicago),41.881832,-87.623177,4,,0.0,0.0,0.0
NailFactory (Chicago),5,,0.0,0.0,0.0 NailFactory (Chicago),41.881832,-87.623177,5,,0.0,0.0,0.0
NailFactory (Phoenix),1,,0.0,0.0,0.0 NailFactory (Phoenix),33.448376,-112.074036,1,,0.0,0.0,0.0
NailFactory (Phoenix),2,,0.0,0.0,0.0 NailFactory (Phoenix),33.448376,-112.074036,2,,0.0,0.0,0.0
NailFactory (Phoenix),3,,0.0,0.0,0.0 NailFactory (Phoenix),33.448376,-112.074036,3,,0.0,0.0,0.0
NailFactory (Phoenix),4,,0.0,0.0,0.0 NailFactory (Phoenix),33.448376,-112.074036,4,,0.0,0.0,0.0
NailFactory (Phoenix),5,,0.0,0.0,0.0 NailFactory (Phoenix),33.448376,-112.074036,5,,0.0,0.0,0.0
NailFactory (Dallas),1,,0.0,0.0,0.0 NailFactory (Dallas),32.776664,-96.796988,1,,0.0,0.0,0.0
NailFactory (Dallas),2,,0.0,0.0,0.0 NailFactory (Dallas),32.776664,-96.796988,2,,0.0,0.0,0.0
NailFactory (Dallas),3,,0.0,0.0,0.0 NailFactory (Dallas),32.776664,-96.796988,3,,0.0,0.0,0.0
NailFactory (Dallas),4,,0.0,0.0,0.0 NailFactory (Dallas),32.776664,-96.796988,4,,0.0,0.0,0.0
NailFactory (Dallas),5,,0.0,0.0,0.0 NailFactory (Dallas),32.776664,-96.796988,5,,0.0,0.0,0.0
Forest (Chicago),1,,0.0,0.0,0.0 Forest (Chicago),41.881832,-87.623177,1,,0.0,0.0,0.0
Forest (Chicago),2,,0.0,0.0,0.0 Forest (Chicago),41.881832,-87.623177,2,,0.0,0.0,0.0
Forest (Chicago),3,,0.0,0.0,0.0 Forest (Chicago),41.881832,-87.623177,3,,0.0,0.0,0.0
Forest (Chicago),4,,0.0,0.0,0.0 Forest (Chicago),41.881832,-87.623177,4,,0.0,0.0,0.0
Forest (Chicago),5,,0.0,0.0,0.0 Forest (Chicago),41.881832,-87.623177,5,,0.0,0.0,0.0
Forest (Phoenix),1,,0.0,0.0,0.0 Forest (Phoenix),33.448376,-112.074036,1,,0.0,0.0,0.0
Forest (Phoenix),2,,0.0,0.0,0.0 Forest (Phoenix),33.448376,-112.074036,2,,0.0,0.0,0.0
Forest (Phoenix),3,,0.0,0.0,0.0 Forest (Phoenix),33.448376,-112.074036,3,,0.0,0.0,0.0
Forest (Phoenix),4,,0.0,0.0,0.0 Forest (Phoenix),33.448376,-112.074036,4,,0.0,0.0,0.0
Forest (Phoenix),5,,0.0,0.0,0.0 Forest (Phoenix),33.448376,-112.074036,5,,0.0,0.0,0.0
Forest (Dallas),1,,0.0,0.0,0.0 Forest (Dallas),32.776664,-96.796988,1,,0.0,0.0,0.0
Forest (Dallas),2,,0.0,0.0,0.0 Forest (Dallas),32.776664,-96.796988,2,,0.0,0.0,0.0
Forest (Dallas),3,,0.0,0.0,0.0 Forest (Dallas),32.776664,-96.796988,3,,0.0,0.0,0.0
Forest (Dallas),4,,0.0,0.0,0.0 Forest (Dallas),32.776664,-96.796988,4,,0.0,0.0,0.0
Forest (Dallas),5,,0.0,0.0,0.0 Forest (Dallas),32.776664,-96.796988,5,,0.0,0.0,0.0
Retail (Chicago),1,NewBoat,0.0,0.0,125000.0 Retail (Chicago),41.881832,-87.623177,1,NewBoat,0.0,0.0,125000.0
Retail (Chicago),2,NewBoat,0.0,0.0,125000.0 Retail (Chicago),41.881832,-87.623177,2,NewBoat,0.0,0.0,125000.0
Retail (Chicago),3,NewBoat,0.0,0.0,125000.0 Retail (Chicago),41.881832,-87.623177,3,NewBoat,0.0,0.0,125000.0
Retail (Chicago),4,NewBoat,0.0,0.0,125000.0 Retail (Chicago),41.881832,-87.623177,4,NewBoat,0.0,0.0,125000.0
Retail (Chicago),5,NewBoat,0.0,0.0,125000.0 Retail (Chicago),41.881832,-87.623177,5,NewBoat,0.0,0.0,125000.0
Retail (New York City),1,NewBoat,0.0,0.0,125000.0 Retail (New York City),40.712776,-74.005974,1,NewBoat,0.0,0.0,125000.0
Retail (New York City),2,NewBoat,0.0,0.0,125000.0 Retail (New York City),40.712776,-74.005974,2,NewBoat,0.0,0.0,125000.0
Retail (New York City),3,NewBoat,0.0,0.0,125000.0 Retail (New York City),40.712776,-74.005974,3,NewBoat,0.0,0.0,125000.0
Retail (New York City),4,NewBoat,0.0,0.0,125000.0 Retail (New York City),40.712776,-74.005974,4,NewBoat,0.0,0.0,125000.0
Retail (New York City),5,NewBoat,0.0,0.0,125000.0 Retail (New York City),40.712776,-74.005974,5,NewBoat,0.0,0.0,125000.0
Retail (Los Angeles),1,NewBoat,0.0,0.0,125000.0 Retail (Los Angeles),34.052235,-118.243683,1,NewBoat,0.0,0.0,125000.0
Retail (Los Angeles),2,NewBoat,0.0,0.0,125000.0 Retail (Los Angeles),34.052235,-118.243683,2,NewBoat,0.0,0.0,125000.0
Retail (Los Angeles),3,NewBoat,0.0,0.0,125000.0 Retail (Los Angeles),34.052235,-118.243683,3,NewBoat,0.0,0.0,125000.0
Retail (Los Angeles),4,NewBoat,0.0,0.0,125000.0 Retail (Los Angeles),34.052235,-118.243683,4,NewBoat,0.0,0.0,125000.0
Retail (Los Angeles),5,NewBoat,0.0,0.0,125000.0 Retail (Los Angeles),34.052235,-118.243683,5,NewBoat,-0.0,0.0,125000.0
Retail (Houston),1,NewBoat,0.0,0.0,125000.0 Retail (Houston),29.760427,-95.369804,1,NewBoat,0.0,0.0,125000.0
Retail (Houston),2,NewBoat,0.0,0.0,125000.0 Retail (Houston),29.760427,-95.369804,2,NewBoat,0.0,0.0,125000.0
Retail (Houston),3,NewBoat,0.0,0.0,125000.0 Retail (Houston),29.760427,-95.369804,3,NewBoat,0.0,0.0,125000.0
Retail (Houston),4,NewBoat,0.0,0.0,125000.0 Retail (Houston),29.760427,-95.369804,4,NewBoat,0.0,0.0,125000.0
Retail (Houston),5,NewBoat,0.0,0.0,125000.0 Retail (Houston),29.760427,-95.369804,5,NewBoat,-0.0,0.0,125000.0
Retail (Phoenix),1,NewBoat,0.0,0.0,125000.0 Retail (Phoenix),33.448376,-112.074036,1,NewBoat,0.0,0.0,125000.0
Retail (Phoenix),2,NewBoat,0.0,0.0,125000.0 Retail (Phoenix),33.448376,-112.074036,2,NewBoat,0.0,0.0,125000.0
Retail (Phoenix),3,NewBoat,0.0,0.0,125000.0 Retail (Phoenix),33.448376,-112.074036,3,NewBoat,0.0,0.0,125000.0
Retail (Phoenix),4,NewBoat,0.0,0.0,125000.0 Retail (Phoenix),33.448376,-112.074036,4,NewBoat,-0.0,-0.0,125000.0
Retail (Phoenix),5,NewBoat,0.0,0.0,125000.0 Retail (Phoenix),33.448376,-112.074036,5,NewBoat,0.0,0.0,125000.0
Retail (Philadelphia),1,NewBoat,0.0,0.0,125000.0 Retail (Philadelphia),39.952583,-75.165222,1,NewBoat,0.0,0.0,125000.0
Retail (Philadelphia),2,NewBoat,0.0,0.0,125000.0 Retail (Philadelphia),39.952583,-75.165222,2,NewBoat,0.0,0.0,125000.0
Retail (Philadelphia),3,NewBoat,0.0,0.0,125000.0 Retail (Philadelphia),39.952583,-75.165222,3,NewBoat,0.0,0.0,125000.0
Retail (Philadelphia),4,NewBoat,0.0,0.0,125000.0 Retail (Philadelphia),39.952583,-75.165222,4,NewBoat,0.0,0.0,125000.0
Retail (Philadelphia),5,NewBoat,0.0,0.0,125000.0 Retail (Philadelphia),39.952583,-75.165222,5,NewBoat,0.0,0.0,125000.0
Retail (San Antonio),1,NewBoat,0.0,0.0,125000.0 Retail (San Antonio),29.424122,-98.493629,1,NewBoat,0.0,0.0,125000.0
Retail (San Antonio),2,NewBoat,0.0,0.0,125000.0 Retail (San Antonio),29.424122,-98.493629,2,NewBoat,0.0,0.0,125000.0
Retail (San Antonio),3,NewBoat,0.0,0.0,125000.0 Retail (San Antonio),29.424122,-98.493629,3,NewBoat,0.0,0.0,125000.0
Retail (San Antonio),4,NewBoat,0.0,0.0,125000.0 Retail (San Antonio),29.424122,-98.493629,4,NewBoat,0.0,0.0,125000.0
Retail (San Antonio),5,NewBoat,0.0,0.0,125000.0 Retail (San Antonio),29.424122,-98.493629,5,NewBoat,0.0,0.0,125000.0
Retail (San Diego),1,NewBoat,0.0,0.0,125000.0 Retail (San Diego),32.715736,-117.161087,1,NewBoat,0.0,0.0,125000.0
Retail (San Diego),2,NewBoat,0.0,0.0,125000.0 Retail (San Diego),32.715736,-117.161087,2,NewBoat,0.0,0.0,125000.0
Retail (San Diego),3,NewBoat,0.0,0.0,125000.0 Retail (San Diego),32.715736,-117.161087,3,NewBoat,0.0,0.0,125000.0
Retail (San Diego),4,NewBoat,0.0,0.0,125000.0 Retail (San Diego),32.715736,-117.161087,4,NewBoat,0.0,0.0,125000.0
Retail (San Diego),5,NewBoat,0.0,0.0,125000.0 Retail (San Diego),32.715736,-117.161087,5,NewBoat,0.0,0.0,125000.0
Retail (Dallas),1,NewBoat,63.15789,757894.73684,125000.0 Retail (Dallas),32.776664,-96.796988,1,NewBoat,63.15789,757894.73684,125000.0
Retail (Dallas),2,NewBoat,71.46814,857617.72853,125000.0 Retail (Dallas),32.776664,-96.796988,2,NewBoat,71.46814,857617.72853,125000.0
Retail (Dallas),3,NewBoat,75.8857,910628.37148,125000.0 Retail (Dallas),32.776664,-96.796988,3,NewBoat,75.8857,910628.37148,125000.0
Retail (Dallas),4,NewBoat,76.90434,922852.03459,125000.0 Retail (Dallas),32.776664,-96.796988,4,NewBoat,76.90434,922852.03459,125000.0
Retail (Dallas),5,NewBoat,77.27087,927250.44516,125000.0 Retail (Dallas),32.776664,-96.796988,5,NewBoat,77.27087,927250.44516,125000.0
Retail (San Jose),1,NewBoat,0.0,0.0,125000.0 Retail (San Jose),37.338208,-121.886329,1,NewBoat,0.0,0.0,125000.0
Retail (San Jose),2,NewBoat,0.0,0.0,125000.0 Retail (San Jose),37.338208,-121.886329,2,NewBoat,0.0,0.0,125000.0
Retail (San Jose),3,NewBoat,0.0,0.0,125000.0 Retail (San Jose),37.338208,-121.886329,3,NewBoat,0.0,0.0,125000.0
Retail (San Jose),4,NewBoat,0.0,0.0,125000.0 Retail (San Jose),37.338208,-121.886329,4,NewBoat,0.0,0.0,125000.0
Retail (San Jose),5,NewBoat,0.0,0.0,125000.0 Retail (San Jose),37.338208,-121.886329,5,NewBoat,0.0,0.0,125000.0

1 center latitude longitude year input product input amount (tonne) revenue ($) operating cost ($)
2 NailFactory (Chicago) 41.881832 -87.623177 1 0.0 0.0 0.0
3 NailFactory (Chicago) 41.881832 -87.623177 2 0.0 0.0 0.0
4 NailFactory (Chicago) 41.881832 -87.623177 3 0.0 0.0 0.0
5 NailFactory (Chicago) 41.881832 -87.623177 4 0.0 0.0 0.0
6 NailFactory (Chicago) 41.881832 -87.623177 5 0.0 0.0 0.0
7 NailFactory (Phoenix) 33.448376 -112.074036 1 0.0 0.0 0.0
8 NailFactory (Phoenix) 33.448376 -112.074036 2 0.0 0.0 0.0
9 NailFactory (Phoenix) 33.448376 -112.074036 3 0.0 0.0 0.0
10 NailFactory (Phoenix) 33.448376 -112.074036 4 0.0 0.0 0.0
11 NailFactory (Phoenix) 33.448376 -112.074036 5 0.0 0.0 0.0
12 NailFactory (Dallas) 32.776664 -96.796988 1 0.0 0.0 0.0
13 NailFactory (Dallas) 32.776664 -96.796988 2 0.0 0.0 0.0
14 NailFactory (Dallas) 32.776664 -96.796988 3 0.0 0.0 0.0
15 NailFactory (Dallas) 32.776664 -96.796988 4 0.0 0.0 0.0
16 NailFactory (Dallas) 32.776664 -96.796988 5 0.0 0.0 0.0
17 Forest (Chicago) 41.881832 -87.623177 1 0.0 0.0 0.0
18 Forest (Chicago) 41.881832 -87.623177 2 0.0 0.0 0.0
19 Forest (Chicago) 41.881832 -87.623177 3 0.0 0.0 0.0
20 Forest (Chicago) 41.881832 -87.623177 4 0.0 0.0 0.0
21 Forest (Chicago) 41.881832 -87.623177 5 0.0 0.0 0.0
22 Forest (Phoenix) 33.448376 -112.074036 1 0.0 0.0 0.0
23 Forest (Phoenix) 33.448376 -112.074036 2 0.0 0.0 0.0
24 Forest (Phoenix) 33.448376 -112.074036 3 0.0 0.0 0.0
25 Forest (Phoenix) 33.448376 -112.074036 4 0.0 0.0 0.0
26 Forest (Phoenix) 33.448376 -112.074036 5 0.0 0.0 0.0
27 Forest (Dallas) 32.776664 -96.796988 1 0.0 0.0 0.0
28 Forest (Dallas) 32.776664 -96.796988 2 0.0 0.0 0.0
29 Forest (Dallas) 32.776664 -96.796988 3 0.0 0.0 0.0
30 Forest (Dallas) 32.776664 -96.796988 4 0.0 0.0 0.0
31 Forest (Dallas) 32.776664 -96.796988 5 0.0 0.0 0.0
32 Retail (Chicago) 41.881832 -87.623177 1 NewBoat 0.0 0.0 125000.0
33 Retail (Chicago) 41.881832 -87.623177 2 NewBoat 0.0 0.0 125000.0
34 Retail (Chicago) 41.881832 -87.623177 3 NewBoat 0.0 0.0 125000.0
35 Retail (Chicago) 41.881832 -87.623177 4 NewBoat 0.0 0.0 125000.0
36 Retail (Chicago) 41.881832 -87.623177 5 NewBoat 0.0 0.0 125000.0
37 Retail (New York City) 40.712776 -74.005974 1 NewBoat 0.0 0.0 125000.0
38 Retail (New York City) 40.712776 -74.005974 2 NewBoat 0.0 0.0 125000.0
39 Retail (New York City) 40.712776 -74.005974 3 NewBoat 0.0 0.0 125000.0
40 Retail (New York City) 40.712776 -74.005974 4 NewBoat 0.0 0.0 125000.0
41 Retail (New York City) 40.712776 -74.005974 5 NewBoat 0.0 0.0 125000.0
42 Retail (Los Angeles) 34.052235 -118.243683 1 NewBoat 0.0 0.0 125000.0
43 Retail (Los Angeles) 34.052235 -118.243683 2 NewBoat 0.0 0.0 125000.0
44 Retail (Los Angeles) 34.052235 -118.243683 3 NewBoat 0.0 0.0 125000.0
45 Retail (Los Angeles) 34.052235 -118.243683 4 NewBoat 0.0 0.0 125000.0
46 Retail (Los Angeles) 34.052235 -118.243683 5 NewBoat 0.0 -0.0 0.0 125000.0
47 Retail (Houston) 29.760427 -95.369804 1 NewBoat 0.0 0.0 125000.0
48 Retail (Houston) 29.760427 -95.369804 2 NewBoat 0.0 0.0 125000.0
49 Retail (Houston) 29.760427 -95.369804 3 NewBoat 0.0 0.0 125000.0
50 Retail (Houston) 29.760427 -95.369804 4 NewBoat 0.0 0.0 125000.0
51 Retail (Houston) 29.760427 -95.369804 5 NewBoat 0.0 -0.0 0.0 125000.0
52 Retail (Phoenix) 33.448376 -112.074036 1 NewBoat 0.0 0.0 125000.0
53 Retail (Phoenix) 33.448376 -112.074036 2 NewBoat 0.0 0.0 125000.0
54 Retail (Phoenix) 33.448376 -112.074036 3 NewBoat 0.0 0.0 125000.0
55 Retail (Phoenix) 33.448376 -112.074036 4 NewBoat 0.0 -0.0 0.0 -0.0 125000.0
56 Retail (Phoenix) 33.448376 -112.074036 5 NewBoat 0.0 0.0 125000.0
57 Retail (Philadelphia) 39.952583 -75.165222 1 NewBoat 0.0 0.0 125000.0
58 Retail (Philadelphia) 39.952583 -75.165222 2 NewBoat 0.0 0.0 125000.0
59 Retail (Philadelphia) 39.952583 -75.165222 3 NewBoat 0.0 0.0 125000.0
60 Retail (Philadelphia) 39.952583 -75.165222 4 NewBoat 0.0 0.0 125000.0
61 Retail (Philadelphia) 39.952583 -75.165222 5 NewBoat 0.0 0.0 125000.0
62 Retail (San Antonio) 29.424122 -98.493629 1 NewBoat 0.0 0.0 125000.0
63 Retail (San Antonio) 29.424122 -98.493629 2 NewBoat 0.0 0.0 125000.0
64 Retail (San Antonio) 29.424122 -98.493629 3 NewBoat 0.0 0.0 125000.0
65 Retail (San Antonio) 29.424122 -98.493629 4 NewBoat 0.0 0.0 125000.0
66 Retail (San Antonio) 29.424122 -98.493629 5 NewBoat 0.0 0.0 125000.0
67 Retail (San Diego) 32.715736 -117.161087 1 NewBoat 0.0 0.0 125000.0
68 Retail (San Diego) 32.715736 -117.161087 2 NewBoat 0.0 0.0 125000.0
69 Retail (San Diego) 32.715736 -117.161087 3 NewBoat 0.0 0.0 125000.0
70 Retail (San Diego) 32.715736 -117.161087 4 NewBoat 0.0 0.0 125000.0
71 Retail (San Diego) 32.715736 -117.161087 5 NewBoat 0.0 0.0 125000.0
72 Retail (Dallas) 32.776664 -96.796988 1 NewBoat 63.15789 757894.73684 125000.0
73 Retail (Dallas) 32.776664 -96.796988 2 NewBoat 71.46814 857617.72853 125000.0
74 Retail (Dallas) 32.776664 -96.796988 3 NewBoat 75.8857 910628.37148 125000.0
75 Retail (Dallas) 32.776664 -96.796988 4 NewBoat 76.90434 922852.03459 125000.0
76 Retail (Dallas) 32.776664 -96.796988 5 NewBoat 77.27087 927250.44516 125000.0
77 Retail (San Jose) 37.338208 -121.886329 1 NewBoat 0.0 0.0 125000.0
78 Retail (San Jose) 37.338208 -121.886329 2 NewBoat 0.0 0.0 125000.0
79 Retail (San Jose) 37.338208 -121.886329 3 NewBoat 0.0 0.0 125000.0
80 Retail (San Jose) 37.338208 -121.886329 4 NewBoat 0.0 0.0 125000.0
81 Retail (San Jose) 37.338208 -121.886329 5 NewBoat 0.0 0.0 125000.0

302
test/fixtures/boat_example/plant_outputs.csv vendored
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@ -1,151 +1,151 @@
plant,output product,year,amount produced (tonne),amount disposed (tonne),disposal cost ($) plant,latitude,longitude,output product,year,amount produced (tonne),amount disposed (tonne),disposal limit (tonne),disposal cost ($)
BoatFactory (Chicago),NewBoat,1,0.0,0.0,0.0 BoatFactory (Chicago),41.881832,-87.623177,NewBoat,1,0.0,0.0,0.0,0.0
BoatFactory (Chicago),NewBoat,2,0.0,0.0,0.0 BoatFactory (Chicago),41.881832,-87.623177,NewBoat,2,0.0,0.0,0.0,0.0
BoatFactory (Chicago),NewBoat,3,0.0,0.0,0.0 BoatFactory (Chicago),41.881832,-87.623177,NewBoat,3,0.0,0.0,0.0,0.0
BoatFactory (Chicago),NewBoat,4,0.0,0.0,0.0 BoatFactory (Chicago),41.881832,-87.623177,NewBoat,4,0.0,0.0,0.0,0.0
BoatFactory (Chicago),NewBoat,5,0.0,0.0,0.0 BoatFactory (Chicago),41.881832,-87.623177,NewBoat,5,0.0,0.0,0.0,0.0
BoatFactory (New York City),NewBoat,1,0.0,0.0,0.0 BoatFactory (New York City),40.712776,-74.005974,NewBoat,1,0.0,0.0,0.0,0.0
BoatFactory (New York City),NewBoat,2,0.0,0.0,0.0 BoatFactory (New York City),40.712776,-74.005974,NewBoat,2,0.0,0.0,0.0,0.0
BoatFactory (New York City),NewBoat,3,0.0,0.0,0.0 BoatFactory (New York City),40.712776,-74.005974,NewBoat,3,0.0,0.0,0.0,0.0
BoatFactory (New York City),NewBoat,4,0.0,0.0,0.0 BoatFactory (New York City),40.712776,-74.005974,NewBoat,4,0.0,0.0,0.0,0.0
BoatFactory (New York City),NewBoat,5,0.0,0.0,0.0 BoatFactory (New York City),40.712776,-74.005974,NewBoat,5,0.0,0.0,0.0,0.0
BoatFactory (Los Angeles),NewBoat,1,0.0,0.0,0.0 BoatFactory (Los Angeles),34.052235,-118.243683,NewBoat,1,0.0,0.0,0.0,0.0
BoatFactory (Los Angeles),NewBoat,2,0.0,0.0,0.0 BoatFactory (Los Angeles),34.052235,-118.243683,NewBoat,2,0.0,0.0,0.0,0.0
BoatFactory (Los Angeles),NewBoat,3,0.0,0.0,0.0 BoatFactory (Los Angeles),34.052235,-118.243683,NewBoat,3,0.0,0.0,0.0,0.0
BoatFactory (Los Angeles),NewBoat,4,0.0,0.0,0.0 BoatFactory (Los Angeles),34.052235,-118.243683,NewBoat,4,0.0,0.0,0.0,0.0
BoatFactory (Los Angeles),NewBoat,5,0.0,0.0,0.0 BoatFactory (Los Angeles),34.052235,-118.243683,NewBoat,5,0.0,0.0,0.0,0.0
BoatFactory (Houston),NewBoat,1,0.0,0.0,0.0 BoatFactory (Houston),29.760427,-95.369804,NewBoat,1,0.0,0.0,0.0,0.0
BoatFactory (Houston),NewBoat,2,0.0,0.0,0.0 BoatFactory (Houston),29.760427,-95.369804,NewBoat,2,0.0,0.0,0.0,0.0
BoatFactory (Houston),NewBoat,3,0.0,0.0,0.0 BoatFactory (Houston),29.760427,-95.369804,NewBoat,3,0.0,0.0,0.0,0.0
BoatFactory (Houston),NewBoat,4,0.0,0.0,0.0 BoatFactory (Houston),29.760427,-95.369804,NewBoat,4,0.0,0.0,0.0,0.0
BoatFactory (Houston),NewBoat,5,0.0,0.0,0.0 BoatFactory (Houston),29.760427,-95.369804,NewBoat,5,0.0,0.0,0.0,0.0
BoatFactory (Phoenix),NewBoat,1,0.0,0.0,0.0 BoatFactory (Phoenix),33.448376,-112.074036,NewBoat,1,0.0,0.0,0.0,0.0
BoatFactory (Phoenix),NewBoat,2,0.0,0.0,0.0 BoatFactory (Phoenix),33.448376,-112.074036,NewBoat,2,0.0,0.0,0.0,0.0
BoatFactory (Phoenix),NewBoat,3,0.0,0.0,0.0 BoatFactory (Phoenix),33.448376,-112.074036,NewBoat,3,0.0,0.0,0.0,0.0
BoatFactory (Phoenix),NewBoat,4,0.0,0.0,0.0 BoatFactory (Phoenix),33.448376,-112.074036,NewBoat,4,0.0,0.0,0.0,0.0
BoatFactory (Phoenix),NewBoat,5,0.0,0.0,0.0 BoatFactory (Phoenix),33.448376,-112.074036,NewBoat,5,0.0,0.0,0.0,0.0
BoatFactory (Philadelphia),NewBoat,1,0.0,0.0,0.0 BoatFactory (Philadelphia),39.952583,-75.165222,NewBoat,1,0.0,0.0,0.0,0.0
BoatFactory (Philadelphia),NewBoat,2,0.0,0.0,0.0 BoatFactory (Philadelphia),39.952583,-75.165222,NewBoat,2,0.0,0.0,0.0,0.0
BoatFactory (Philadelphia),NewBoat,3,0.0,0.0,0.0 BoatFactory (Philadelphia),39.952583,-75.165222,NewBoat,3,0.0,0.0,0.0,0.0
BoatFactory (Philadelphia),NewBoat,4,0.0,0.0,0.0 BoatFactory (Philadelphia),39.952583,-75.165222,NewBoat,4,0.0,0.0,0.0,0.0
BoatFactory (Philadelphia),NewBoat,5,0.0,0.0,0.0 BoatFactory (Philadelphia),39.952583,-75.165222,NewBoat,5,0.0,0.0,0.0,0.0
BoatFactory (San Antonio),NewBoat,1,0.0,0.0,0.0 BoatFactory (San Antonio),29.424122,-98.493629,NewBoat,1,0.0,0.0,0.0,0.0
BoatFactory (San Antonio),NewBoat,2,0.0,0.0,0.0 BoatFactory (San Antonio),29.424122,-98.493629,NewBoat,2,0.0,0.0,0.0,0.0
BoatFactory (San Antonio),NewBoat,3,0.0,0.0,0.0 BoatFactory (San Antonio),29.424122,-98.493629,NewBoat,3,0.0,0.0,0.0,0.0
BoatFactory (San Antonio),NewBoat,4,0.0,0.0,0.0 BoatFactory (San Antonio),29.424122,-98.493629,NewBoat,4,0.0,0.0,0.0,0.0
BoatFactory (San Antonio),NewBoat,5,0.0,0.0,0.0 BoatFactory (San Antonio),29.424122,-98.493629,NewBoat,5,0.0,0.0,0.0,0.0
BoatFactory (San Diego),NewBoat,1,0.0,0.0,0.0 BoatFactory (San Diego),32.715736,-117.161087,NewBoat,1,0.0,0.0,0.0,0.0
BoatFactory (San Diego),NewBoat,2,0.0,0.0,0.0 BoatFactory (San Diego),32.715736,-117.161087,NewBoat,2,0.0,0.0,0.0,0.0
BoatFactory (San Diego),NewBoat,3,0.0,0.0,0.0 BoatFactory (San Diego),32.715736,-117.161087,NewBoat,3,0.0,0.0,0.0,0.0
BoatFactory (San Diego),NewBoat,4,0.0,0.0,0.0 BoatFactory (San Diego),32.715736,-117.161087,NewBoat,4,0.0,0.0,0.0,0.0
BoatFactory (San Diego),NewBoat,5,0.0,0.0,0.0 BoatFactory (San Diego),32.715736,-117.161087,NewBoat,5,0.0,0.0,0.0,0.0
BoatFactory (Dallas),NewBoat,1,63.15789,0.0,0.0 BoatFactory (Dallas),32.776664,-96.796988,NewBoat,1,63.15789,0.0,0.0,0.0
BoatFactory (Dallas),NewBoat,2,71.46814,0.0,0.0 BoatFactory (Dallas),32.776664,-96.796988,NewBoat,2,71.46814,0.0,0.0,0.0
BoatFactory (Dallas),NewBoat,3,75.8857,0.0,0.0 BoatFactory (Dallas),32.776664,-96.796988,NewBoat,3,75.8857,0.0,0.0,0.0
BoatFactory (Dallas),NewBoat,4,76.90434,0.0,0.0 BoatFactory (Dallas),32.776664,-96.796988,NewBoat,4,76.90434,0.0,0.0,0.0
BoatFactory (Dallas),NewBoat,5,77.27087,0.0,0.0 BoatFactory (Dallas),32.776664,-96.796988,NewBoat,5,77.27087,0.0,0.0,0.0
BoatFactory (San Jose),NewBoat,1,0.0,0.0,0.0 BoatFactory (San Jose),37.338208,-121.886329,NewBoat,1,0.0,0.0,0.0,0.0
BoatFactory (San Jose),NewBoat,2,0.0,0.0,0.0 BoatFactory (San Jose),37.338208,-121.886329,NewBoat,2,0.0,0.0,0.0,0.0
BoatFactory (San Jose),NewBoat,3,0.0,0.0,0.0 BoatFactory (San Jose),37.338208,-121.886329,NewBoat,3,0.0,0.0,0.0,0.0
BoatFactory (San Jose),NewBoat,4,0.0,0.0,0.0 BoatFactory (San Jose),37.338208,-121.886329,NewBoat,4,0.0,0.0,0.0,0.0
BoatFactory (San Jose),NewBoat,5,0.0,0.0,0.0 BoatFactory (San Jose),37.338208,-121.886329,NewBoat,5,0.0,0.0,0.0,0.0
RecyclingPlant (Chicago),Nail,1,0.0,0.0,0.0 RecyclingPlant (Chicago),41.881832,-87.623177,Nail,1,0.0,0.0,0.0,0.0
RecyclingPlant (Chicago),Nail,2,0.0,0.0,0.0 RecyclingPlant (Chicago),41.881832,-87.623177,Nail,2,-0.0,0.0,0.0,0.0
RecyclingPlant (Chicago),Nail,3,0.0,0.0,0.0 RecyclingPlant (Chicago),41.881832,-87.623177,Nail,3,0.0,0.0,0.0,0.0
RecyclingPlant (Chicago),Nail,4,0.0,0.0,0.0 RecyclingPlant (Chicago),41.881832,-87.623177,Nail,4,0.0,0.0,0.0,0.0
RecyclingPlant (Chicago),Nail,5,0.0,0.0,0.0 RecyclingPlant (Chicago),41.881832,-87.623177,Nail,5,0.0,0.0,0.0,0.0
RecyclingPlant (Chicago),Wood,1,0.0,0.0,0.0 RecyclingPlant (Chicago),41.881832,-87.623177,Wood,1,0.0,0.0,0.0,0.0
RecyclingPlant (Chicago),Wood,2,0.0,0.0,0.0 RecyclingPlant (Chicago),41.881832,-87.623177,Wood,2,-0.0,0.0,0.0,0.0
RecyclingPlant (Chicago),Wood,3,0.0,0.0,0.0 RecyclingPlant (Chicago),41.881832,-87.623177,Wood,3,0.0,0.0,0.0,0.0
RecyclingPlant (Chicago),Wood,4,0.0,0.0,0.0 RecyclingPlant (Chicago),41.881832,-87.623177,Wood,4,0.0,0.0,0.0,0.0
RecyclingPlant (Chicago),Wood,5,0.0,0.0,0.0 RecyclingPlant (Chicago),41.881832,-87.623177,Wood,5,0.0,0.0,0.0,0.0
RecyclingPlant (New York City),Nail,1,0.0,0.0,0.0 RecyclingPlant (New York City),40.712776,-74.005974,Nail,1,0.0,0.0,0.0,0.0
RecyclingPlant (New York City),Nail,2,0.0,0.0,0.0 RecyclingPlant (New York City),40.712776,-74.005974,Nail,2,0.0,0.0,0.0,0.0
RecyclingPlant (New York City),Nail,3,0.0,0.0,0.0 RecyclingPlant (New York City),40.712776,-74.005974,Nail,3,0.0,0.0,0.0,0.0
RecyclingPlant (New York City),Nail,4,0.0,0.0,0.0 RecyclingPlant (New York City),40.712776,-74.005974,Nail,4,0.0,0.0,0.0,0.0
RecyclingPlant (New York City),Nail,5,0.0,0.0,0.0 RecyclingPlant (New York City),40.712776,-74.005974,Nail,5,0.0,0.0,0.0,0.0
RecyclingPlant (New York City),Wood,1,0.0,0.0,0.0 RecyclingPlant (New York City),40.712776,-74.005974,Wood,1,0.0,0.0,0.0,0.0
RecyclingPlant (New York City),Wood,2,0.0,0.0,0.0 RecyclingPlant (New York City),40.712776,-74.005974,Wood,2,0.0,0.0,0.0,0.0
RecyclingPlant (New York City),Wood,3,0.0,0.0,0.0 RecyclingPlant (New York City),40.712776,-74.005974,Wood,3,0.0,0.0,0.0,0.0
RecyclingPlant (New York City),Wood,4,0.0,0.0,0.0 RecyclingPlant (New York City),40.712776,-74.005974,Wood,4,0.0,0.0,0.0,0.0
RecyclingPlant (New York City),Wood,5,0.0,0.0,0.0 RecyclingPlant (New York City),40.712776,-74.005974,Wood,5,0.0,0.0,0.0,0.0
RecyclingPlant (Los Angeles),Nail,1,0.0,0.0,0.0 RecyclingPlant (Los Angeles),34.052235,-118.243683,Nail,1,0.0,0.0,0.0,0.0
RecyclingPlant (Los Angeles),Nail,2,0.0,0.0,0.0 RecyclingPlant (Los Angeles),34.052235,-118.243683,Nail,2,0.0,0.0,0.0,0.0
RecyclingPlant (Los Angeles),Nail,3,0.0,0.0,0.0 RecyclingPlant (Los Angeles),34.052235,-118.243683,Nail,3,0.0,0.0,0.0,0.0
RecyclingPlant (Los Angeles),Nail,4,0.0,0.0,0.0 RecyclingPlant (Los Angeles),34.052235,-118.243683,Nail,4,0.0,0.0,0.0,0.0
RecyclingPlant (Los Angeles),Nail,5,0.0,0.0,0.0 RecyclingPlant (Los Angeles),34.052235,-118.243683,Nail,5,0.0,0.0,0.0,0.0
RecyclingPlant (Los Angeles),Wood,1,0.0,0.0,0.0 RecyclingPlant (Los Angeles),34.052235,-118.243683,Wood,1,0.0,0.0,0.0,0.0
RecyclingPlant (Los Angeles),Wood,2,0.0,0.0,0.0 RecyclingPlant (Los Angeles),34.052235,-118.243683,Wood,2,0.0,0.0,0.0,0.0
RecyclingPlant (Los Angeles),Wood,3,0.0,0.0,0.0 RecyclingPlant (Los Angeles),34.052235,-118.243683,Wood,3,0.0,0.0,0.0,0.0
RecyclingPlant (Los Angeles),Wood,4,0.0,0.0,0.0 RecyclingPlant (Los Angeles),34.052235,-118.243683,Wood,4,0.0,0.0,0.0,0.0
RecyclingPlant (Los Angeles),Wood,5,0.0,0.0,0.0 RecyclingPlant (Los Angeles),34.052235,-118.243683,Wood,5,0.0,0.0,0.0,0.0
RecyclingPlant (Houston),Nail,1,0.0,0.0,0.0 RecyclingPlant (Houston),29.760427,-95.369804,Nail,1,0.0,0.0,0.0,0.0
RecyclingPlant (Houston),Nail,2,0.0,0.0,0.0 RecyclingPlant (Houston),29.760427,-95.369804,Nail,2,0.0,0.0,0.0,0.0
RecyclingPlant (Houston),Nail,3,0.0,0.0,0.0 RecyclingPlant (Houston),29.760427,-95.369804,Nail,3,0.0,0.0,0.0,0.0
RecyclingPlant (Houston),Nail,4,0.0,0.0,0.0 RecyclingPlant (Houston),29.760427,-95.369804,Nail,4,0.0,0.0,0.0,0.0
RecyclingPlant (Houston),Nail,5,0.0,0.0,0.0 RecyclingPlant (Houston),29.760427,-95.369804,Nail,5,0.0,0.0,0.0,0.0
RecyclingPlant (Houston),Wood,1,0.0,0.0,0.0 RecyclingPlant (Houston),29.760427,-95.369804,Wood,1,0.0,0.0,0.0,0.0
RecyclingPlant (Houston),Wood,2,0.0,0.0,0.0 RecyclingPlant (Houston),29.760427,-95.369804,Wood,2,0.0,0.0,0.0,0.0
RecyclingPlant (Houston),Wood,3,0.0,0.0,0.0 RecyclingPlant (Houston),29.760427,-95.369804,Wood,3,0.0,0.0,0.0,0.0
RecyclingPlant (Houston),Wood,4,0.0,0.0,0.0 RecyclingPlant (Houston),29.760427,-95.369804,Wood,4,0.0,0.0,0.0,0.0
RecyclingPlant (Houston),Wood,5,0.0,0.0,0.0 RecyclingPlant (Houston),29.760427,-95.369804,Wood,5,0.0,0.0,0.0,0.0
RecyclingPlant (Phoenix),Nail,1,0.0,0.0,0.0 RecyclingPlant (Phoenix),33.448376,-112.074036,Nail,1,0.0,0.0,0.0,0.0
RecyclingPlant (Phoenix),Nail,2,0.0,0.0,0.0 RecyclingPlant (Phoenix),33.448376,-112.074036,Nail,2,0.0,0.0,0.0,0.0
RecyclingPlant (Phoenix),Nail,3,0.0,0.0,0.0 RecyclingPlant (Phoenix),33.448376,-112.074036,Nail,3,0.0,0.0,0.0,0.0
RecyclingPlant (Phoenix),Nail,4,0.0,0.0,0.0 RecyclingPlant (Phoenix),33.448376,-112.074036,Nail,4,0.0,0.0,0.0,0.0
RecyclingPlant (Phoenix),Nail,5,0.0,0.0,0.0 RecyclingPlant (Phoenix),33.448376,-112.074036,Nail,5,0.0,0.0,0.0,0.0
RecyclingPlant (Phoenix),Wood,1,0.0,0.0,0.0 RecyclingPlant (Phoenix),33.448376,-112.074036,Wood,1,0.0,0.0,0.0,0.0
RecyclingPlant (Phoenix),Wood,2,0.0,0.0,0.0 RecyclingPlant (Phoenix),33.448376,-112.074036,Wood,2,0.0,0.0,0.0,0.0
RecyclingPlant (Phoenix),Wood,3,0.0,0.0,0.0 RecyclingPlant (Phoenix),33.448376,-112.074036,Wood,3,0.0,0.0,0.0,0.0
RecyclingPlant (Phoenix),Wood,4,0.0,0.0,0.0 RecyclingPlant (Phoenix),33.448376,-112.074036,Wood,4,0.0,0.0,0.0,0.0
RecyclingPlant (Phoenix),Wood,5,0.0,0.0,0.0 RecyclingPlant (Phoenix),33.448376,-112.074036,Wood,5,0.0,0.0,0.0,0.0
RecyclingPlant (Philadelphia),Nail,1,0.0,0.0,0.0 RecyclingPlant (Philadelphia),39.952583,-75.165222,Nail,1,0.0,0.0,0.0,0.0
RecyclingPlant (Philadelphia),Nail,2,0.0,0.0,0.0 RecyclingPlant (Philadelphia),39.952583,-75.165222,Nail,2,0.0,0.0,0.0,0.0
RecyclingPlant (Philadelphia),Nail,3,0.0,0.0,0.0 RecyclingPlant (Philadelphia),39.952583,-75.165222,Nail,3,0.0,0.0,0.0,0.0
RecyclingPlant (Philadelphia),Nail,4,0.0,0.0,0.0 RecyclingPlant (Philadelphia),39.952583,-75.165222,Nail,4,0.0,0.0,0.0,0.0
RecyclingPlant (Philadelphia),Nail,5,0.0,0.0,0.0 RecyclingPlant (Philadelphia),39.952583,-75.165222,Nail,5,0.0,0.0,0.0,0.0
RecyclingPlant (Philadelphia),Wood,1,0.0,0.0,0.0 RecyclingPlant (Philadelphia),39.952583,-75.165222,Wood,1,0.0,0.0,0.0,0.0
RecyclingPlant (Philadelphia),Wood,2,0.0,0.0,0.0 RecyclingPlant (Philadelphia),39.952583,-75.165222,Wood,2,0.0,0.0,0.0,0.0
RecyclingPlant (Philadelphia),Wood,3,0.0,0.0,0.0 RecyclingPlant (Philadelphia),39.952583,-75.165222,Wood,3,0.0,0.0,0.0,0.0
RecyclingPlant (Philadelphia),Wood,4,0.0,0.0,0.0 RecyclingPlant (Philadelphia),39.952583,-75.165222,Wood,4,0.0,0.0,0.0,0.0
RecyclingPlant (Philadelphia),Wood,5,0.0,0.0,0.0 RecyclingPlant (Philadelphia),39.952583,-75.165222,Wood,5,0.0,0.0,0.0,0.0
RecyclingPlant (San Antonio),Nail,1,0.0,0.0,0.0 RecyclingPlant (San Antonio),29.424122,-98.493629,Nail,1,0.0,0.0,0.0,0.0
RecyclingPlant (San Antonio),Nail,2,0.0,0.0,0.0 RecyclingPlant (San Antonio),29.424122,-98.493629,Nail,2,0.0,0.0,0.0,0.0
RecyclingPlant (San Antonio),Nail,3,0.0,0.0,0.0 RecyclingPlant (San Antonio),29.424122,-98.493629,Nail,3,0.0,0.0,0.0,0.0
RecyclingPlant (San Antonio),Nail,4,0.0,0.0,0.0 RecyclingPlant (San Antonio),29.424122,-98.493629,Nail,4,0.0,0.0,0.0,0.0
RecyclingPlant (San Antonio),Nail,5,0.0,0.0,0.0 RecyclingPlant (San Antonio),29.424122,-98.493629,Nail,5,0.0,0.0,0.0,0.0
RecyclingPlant (San Antonio),Wood,1,0.0,0.0,0.0 RecyclingPlant (San Antonio),29.424122,-98.493629,Wood,1,0.0,0.0,0.0,0.0
RecyclingPlant (San Antonio),Wood,2,0.0,0.0,0.0 RecyclingPlant (San Antonio),29.424122,-98.493629,Wood,2,0.0,0.0,0.0,0.0
RecyclingPlant (San Antonio),Wood,3,0.0,0.0,0.0 RecyclingPlant (San Antonio),29.424122,-98.493629,Wood,3,0.0,0.0,0.0,0.0
RecyclingPlant (San Antonio),Wood,4,0.0,0.0,0.0 RecyclingPlant (San Antonio),29.424122,-98.493629,Wood,4,0.0,0.0,0.0,0.0
RecyclingPlant (San Antonio),Wood,5,0.0,0.0,0.0 RecyclingPlant (San Antonio),29.424122,-98.493629,Wood,5,0.0,0.0,0.0,0.0
RecyclingPlant (San Diego),Nail,1,0.0,0.0,0.0 RecyclingPlant (San Diego),32.715736,-117.161087,Nail,1,0.0,0.0,0.0,0.0
RecyclingPlant (San Diego),Nail,2,0.0,0.0,0.0 RecyclingPlant (San Diego),32.715736,-117.161087,Nail,2,0.0,0.0,0.0,0.0
RecyclingPlant (San Diego),Nail,3,0.0,0.0,0.0 RecyclingPlant (San Diego),32.715736,-117.161087,Nail,3,0.0,0.0,0.0,0.0
RecyclingPlant (San Diego),Nail,4,0.0,0.0,0.0 RecyclingPlant (San Diego),32.715736,-117.161087,Nail,4,0.0,0.0,0.0,0.0
RecyclingPlant (San Diego),Nail,5,0.0,0.0,0.0 RecyclingPlant (San Diego),32.715736,-117.161087,Nail,5,0.0,0.0,0.0,0.0
RecyclingPlant (San Diego),Wood,1,0.0,0.0,0.0 RecyclingPlant (San Diego),32.715736,-117.161087,Wood,1,0.0,0.0,0.0,0.0
RecyclingPlant (San Diego),Wood,2,0.0,0.0,0.0 RecyclingPlant (San Diego),32.715736,-117.161087,Wood,2,0.0,0.0,0.0,0.0
RecyclingPlant (San Diego),Wood,3,0.0,0.0,0.0 RecyclingPlant (San Diego),32.715736,-117.161087,Wood,3,0.0,0.0,0.0,0.0
RecyclingPlant (San Diego),Wood,4,0.0,0.0,0.0 RecyclingPlant (San Diego),32.715736,-117.161087,Wood,4,0.0,0.0,0.0,0.0
RecyclingPlant (San Diego),Wood,5,0.0,0.0,0.0 RecyclingPlant (San Diego),32.715736,-117.161087,Wood,5,0.0,0.0,0.0,0.0
RecyclingPlant (Dallas),Nail,1,0.15789,0.0,0.0 RecyclingPlant (Dallas),32.776664,-96.796988,Nail,1,0.15789,0.0,0.0,0.0
RecyclingPlant (Dallas),Nail,2,0.57341,0.0,0.0 RecyclingPlant (Dallas),32.776664,-96.796988,Nail,2,0.57341,0.0,0.0,0.0
RecyclingPlant (Dallas),Nail,3,0.79428,0.0,0.0 RecyclingPlant (Dallas),32.776664,-96.796988,Nail,3,0.79428,0.0,0.0,0.0
RecyclingPlant (Dallas),Nail,4,0.84522,0.0,0.0 RecyclingPlant (Dallas),32.776664,-96.796988,Nail,4,0.84522,0.0,0.0,0.0
RecyclingPlant (Dallas),Nail,5,0.86354,0.0,0.0 RecyclingPlant (Dallas),32.776664,-96.796988,Nail,5,0.86354,0.0,0.0,0.0
RecyclingPlant (Dallas),Wood,1,3.0,0.0,0.0 RecyclingPlant (Dallas),32.776664,-96.796988,Wood,1,3.0,0.0,0.0,0.0
RecyclingPlant (Dallas),Wood,2,10.89474,0.0,0.0 RecyclingPlant (Dallas),32.776664,-96.796988,Wood,2,10.89474,0.0,0.0,0.0
RecyclingPlant (Dallas),Wood,3,15.09141,0.0,0.0 RecyclingPlant (Dallas),32.776664,-96.796988,Wood,3,15.09141,0.0,0.0,0.0
RecyclingPlant (Dallas),Wood,4,16.05912,0.0,0.0 RecyclingPlant (Dallas),32.776664,-96.796988,Wood,4,16.05912,0.0,0.0,0.0
RecyclingPlant (Dallas),Wood,5,16.40733,0.0,0.0 RecyclingPlant (Dallas),32.776664,-96.796988,Wood,5,16.40733,0.0,0.0,0.0
RecyclingPlant (San Jose),Nail,1,0.0,0.0,0.0 RecyclingPlant (San Jose),37.338208,-121.886329,Nail,1,0.0,0.0,0.0,0.0
RecyclingPlant (San Jose),Nail,2,0.0,0.0,0.0 RecyclingPlant (San Jose),37.338208,-121.886329,Nail,2,0.0,0.0,0.0,0.0
RecyclingPlant (San Jose),Nail,3,0.0,0.0,0.0 RecyclingPlant (San Jose),37.338208,-121.886329,Nail,3,0.0,0.0,0.0,0.0
RecyclingPlant (San Jose),Nail,4,0.0,0.0,0.0 RecyclingPlant (San Jose),37.338208,-121.886329,Nail,4,0.0,0.0,0.0,0.0
RecyclingPlant (San Jose),Nail,5,0.0,0.0,0.0 RecyclingPlant (San Jose),37.338208,-121.886329,Nail,5,0.0,0.0,0.0,0.0
RecyclingPlant (San Jose),Wood,1,0.0,0.0,0.0 RecyclingPlant (San Jose),37.338208,-121.886329,Wood,1,0.0,0.0,0.0,0.0
RecyclingPlant (San Jose),Wood,2,0.0,0.0,0.0 RecyclingPlant (San Jose),37.338208,-121.886329,Wood,2,0.0,0.0,0.0,0.0
RecyclingPlant (San Jose),Wood,3,0.0,0.0,0.0 RecyclingPlant (San Jose),37.338208,-121.886329,Wood,3,0.0,0.0,0.0,0.0
RecyclingPlant (San Jose),Wood,4,0.0,0.0,0.0 RecyclingPlant (San Jose),37.338208,-121.886329,Wood,4,0.0,0.0,0.0,0.0
RecyclingPlant (San Jose),Wood,5,0.0,0.0,0.0 RecyclingPlant (San Jose),37.338208,-121.886329,Wood,5,0.0,0.0,0.0,0.0

1 plant latitude longitude output product year amount produced (tonne) amount disposed (tonne) disposal limit (tonne) disposal cost ($)
2 BoatFactory (Chicago) 41.881832 -87.623177 NewBoat 1 0.0 0.0 0.0 0.0
3 BoatFactory (Chicago) 41.881832 -87.623177 NewBoat 2 0.0 0.0 0.0 0.0
4 BoatFactory (Chicago) 41.881832 -87.623177 NewBoat 3 0.0 0.0 0.0 0.0
5 BoatFactory (Chicago) 41.881832 -87.623177 NewBoat 4 0.0 0.0 0.0 0.0
6 BoatFactory (Chicago) 41.881832 -87.623177 NewBoat 5 0.0 0.0 0.0 0.0
7 BoatFactory (New York City) 40.712776 -74.005974 NewBoat 1 0.0 0.0 0.0 0.0
8 BoatFactory (New York City) 40.712776 -74.005974 NewBoat 2 0.0 0.0 0.0 0.0
9 BoatFactory (New York City) 40.712776 -74.005974 NewBoat 3 0.0 0.0 0.0 0.0
10 BoatFactory (New York City) 40.712776 -74.005974 NewBoat 4 0.0 0.0 0.0 0.0
11 BoatFactory (New York City) 40.712776 -74.005974 NewBoat 5 0.0 0.0 0.0 0.0
12 BoatFactory (Los Angeles) 34.052235 -118.243683 NewBoat 1 0.0 0.0 0.0 0.0
13 BoatFactory (Los Angeles) 34.052235 -118.243683 NewBoat 2 0.0 0.0 0.0 0.0
14 BoatFactory (Los Angeles) 34.052235 -118.243683 NewBoat 3 0.0 0.0 0.0 0.0
15 BoatFactory (Los Angeles) 34.052235 -118.243683 NewBoat 4 0.0 0.0 0.0 0.0
16 BoatFactory (Los Angeles) 34.052235 -118.243683 NewBoat 5 0.0 0.0 0.0 0.0
17 BoatFactory (Houston) 29.760427 -95.369804 NewBoat 1 0.0 0.0 0.0 0.0
18 BoatFactory (Houston) 29.760427 -95.369804 NewBoat 2 0.0 0.0 0.0 0.0
19 BoatFactory (Houston) 29.760427 -95.369804 NewBoat 3 0.0 0.0 0.0 0.0
20 BoatFactory (Houston) 29.760427 -95.369804 NewBoat 4 0.0 0.0 0.0 0.0
21 BoatFactory (Houston) 29.760427 -95.369804 NewBoat 5 0.0 0.0 0.0 0.0
22 BoatFactory (Phoenix) 33.448376 -112.074036 NewBoat 1 0.0 0.0 0.0 0.0
23 BoatFactory (Phoenix) 33.448376 -112.074036 NewBoat 2 0.0 0.0 0.0 0.0
24 BoatFactory (Phoenix) 33.448376 -112.074036 NewBoat 3 0.0 0.0 0.0 0.0
25 BoatFactory (Phoenix) 33.448376 -112.074036 NewBoat 4 0.0 0.0 0.0 0.0
26 BoatFactory (Phoenix) 33.448376 -112.074036 NewBoat 5 0.0 0.0 0.0 0.0
27 BoatFactory (Philadelphia) 39.952583 -75.165222 NewBoat 1 0.0 0.0 0.0 0.0
28 BoatFactory (Philadelphia) 39.952583 -75.165222 NewBoat 2 0.0 0.0 0.0 0.0
29 BoatFactory (Philadelphia) 39.952583 -75.165222 NewBoat 3 0.0 0.0 0.0 0.0
30 BoatFactory (Philadelphia) 39.952583 -75.165222 NewBoat 4 0.0 0.0 0.0 0.0
31 BoatFactory (Philadelphia) 39.952583 -75.165222 NewBoat 5 0.0 0.0 0.0 0.0
32 BoatFactory (San Antonio) 29.424122 -98.493629 NewBoat 1 0.0 0.0 0.0 0.0
33 BoatFactory (San Antonio) 29.424122 -98.493629 NewBoat 2 0.0 0.0 0.0 0.0
34 BoatFactory (San Antonio) 29.424122 -98.493629 NewBoat 3 0.0 0.0 0.0 0.0
35 BoatFactory (San Antonio) 29.424122 -98.493629 NewBoat 4 0.0 0.0 0.0 0.0
36 BoatFactory (San Antonio) 29.424122 -98.493629 NewBoat 5 0.0 0.0 0.0 0.0
37 BoatFactory (San Diego) 32.715736 -117.161087 NewBoat 1 0.0 0.0 0.0 0.0
38 BoatFactory (San Diego) 32.715736 -117.161087 NewBoat 2 0.0 0.0 0.0 0.0
39 BoatFactory (San Diego) 32.715736 -117.161087 NewBoat 3 0.0 0.0 0.0 0.0
40 BoatFactory (San Diego) 32.715736 -117.161087 NewBoat 4 0.0 0.0 0.0 0.0
41 BoatFactory (San Diego) 32.715736 -117.161087 NewBoat 5 0.0 0.0 0.0 0.0
42 BoatFactory (Dallas) 32.776664 -96.796988 NewBoat 1 63.15789 0.0 0.0 0.0
43 BoatFactory (Dallas) 32.776664 -96.796988 NewBoat 2 71.46814 0.0 0.0 0.0
44 BoatFactory (Dallas) 32.776664 -96.796988 NewBoat 3 75.8857 0.0 0.0 0.0
45 BoatFactory (Dallas) 32.776664 -96.796988 NewBoat 4 76.90434 0.0 0.0 0.0
46 BoatFactory (Dallas) 32.776664 -96.796988 NewBoat 5 77.27087 0.0 0.0 0.0
47 BoatFactory (San Jose) 37.338208 -121.886329 NewBoat 1 0.0 0.0 0.0 0.0
48 BoatFactory (San Jose) 37.338208 -121.886329 NewBoat 2 0.0 0.0 0.0 0.0
49 BoatFactory (San Jose) 37.338208 -121.886329 NewBoat 3 0.0 0.0 0.0 0.0
50 BoatFactory (San Jose) 37.338208 -121.886329 NewBoat 4 0.0 0.0 0.0 0.0
51 BoatFactory (San Jose) 37.338208 -121.886329 NewBoat 5 0.0 0.0 0.0 0.0
52 RecyclingPlant (Chicago) 41.881832 -87.623177 Nail 1 0.0 0.0 0.0 0.0
53 RecyclingPlant (Chicago) 41.881832 -87.623177 Nail 2 0.0 -0.0 0.0 0.0 0.0
54 RecyclingPlant (Chicago) 41.881832 -87.623177 Nail 3 0.0 0.0 0.0 0.0
55 RecyclingPlant (Chicago) 41.881832 -87.623177 Nail 4 0.0 0.0 0.0 0.0
56 RecyclingPlant (Chicago) 41.881832 -87.623177 Nail 5 0.0 0.0 0.0 0.0
57 RecyclingPlant (Chicago) 41.881832 -87.623177 Wood 1 0.0 0.0 0.0 0.0
58 RecyclingPlant (Chicago) 41.881832 -87.623177 Wood 2 0.0 -0.0 0.0 0.0 0.0
59 RecyclingPlant (Chicago) 41.881832 -87.623177 Wood 3 0.0 0.0 0.0 0.0
60 RecyclingPlant (Chicago) 41.881832 -87.623177 Wood 4 0.0 0.0 0.0 0.0
61 RecyclingPlant (Chicago) 41.881832 -87.623177 Wood 5 0.0 0.0 0.0 0.0
62 RecyclingPlant (New York City) 40.712776 -74.005974 Nail 1 0.0 0.0 0.0 0.0
63 RecyclingPlant (New York City) 40.712776 -74.005974 Nail 2 0.0 0.0 0.0 0.0
64 RecyclingPlant (New York City) 40.712776 -74.005974 Nail 3 0.0 0.0 0.0 0.0
65 RecyclingPlant (New York City) 40.712776 -74.005974 Nail 4 0.0 0.0 0.0 0.0
66 RecyclingPlant (New York City) 40.712776 -74.005974 Nail 5 0.0 0.0 0.0 0.0
67 RecyclingPlant (New York City) 40.712776 -74.005974 Wood 1 0.0 0.0 0.0 0.0
68 RecyclingPlant (New York City) 40.712776 -74.005974 Wood 2 0.0 0.0 0.0 0.0
69 RecyclingPlant (New York City) 40.712776 -74.005974 Wood 3 0.0 0.0 0.0 0.0
70 RecyclingPlant (New York City) 40.712776 -74.005974 Wood 4 0.0 0.0 0.0 0.0
71 RecyclingPlant (New York City) 40.712776 -74.005974 Wood 5 0.0 0.0 0.0 0.0
72 RecyclingPlant (Los Angeles) 34.052235 -118.243683 Nail 1 0.0 0.0 0.0 0.0
73 RecyclingPlant (Los Angeles) 34.052235 -118.243683 Nail 2 0.0 0.0 0.0 0.0
74 RecyclingPlant (Los Angeles) 34.052235 -118.243683 Nail 3 0.0 0.0 0.0 0.0
75 RecyclingPlant (Los Angeles) 34.052235 -118.243683 Nail 4 0.0 0.0 0.0 0.0
76 RecyclingPlant (Los Angeles) 34.052235 -118.243683 Nail 5 0.0 0.0 0.0 0.0
77 RecyclingPlant (Los Angeles) 34.052235 -118.243683 Wood 1 0.0 0.0 0.0 0.0
78 RecyclingPlant (Los Angeles) 34.052235 -118.243683 Wood 2 0.0 0.0 0.0 0.0
79 RecyclingPlant (Los Angeles) 34.052235 -118.243683 Wood 3 0.0 0.0 0.0 0.0
80 RecyclingPlant (Los Angeles) 34.052235 -118.243683 Wood 4 0.0 0.0 0.0 0.0
81 RecyclingPlant (Los Angeles) 34.052235 -118.243683 Wood 5 0.0 0.0 0.0 0.0
82 RecyclingPlant (Houston) 29.760427 -95.369804 Nail 1 0.0 0.0 0.0 0.0
83 RecyclingPlant (Houston) 29.760427 -95.369804 Nail 2 0.0 0.0 0.0 0.0
84 RecyclingPlant (Houston) 29.760427 -95.369804 Nail 3 0.0 0.0 0.0 0.0
85 RecyclingPlant (Houston) 29.760427 -95.369804 Nail 4 0.0 0.0 0.0 0.0
86 RecyclingPlant (Houston) 29.760427 -95.369804 Nail 5 0.0 0.0 0.0 0.0
87 RecyclingPlant (Houston) 29.760427 -95.369804 Wood 1 0.0 0.0 0.0 0.0
88 RecyclingPlant (Houston) 29.760427 -95.369804 Wood 2 0.0 0.0 0.0 0.0
89 RecyclingPlant (Houston) 29.760427 -95.369804 Wood 3 0.0 0.0 0.0 0.0
90 RecyclingPlant (Houston) 29.760427 -95.369804 Wood 4 0.0 0.0 0.0 0.0
91 RecyclingPlant (Houston) 29.760427 -95.369804 Wood 5 0.0 0.0 0.0 0.0
92 RecyclingPlant (Phoenix) 33.448376 -112.074036 Nail 1 0.0 0.0 0.0 0.0
93 RecyclingPlant (Phoenix) 33.448376 -112.074036 Nail 2 0.0 0.0 0.0 0.0
94 RecyclingPlant (Phoenix) 33.448376 -112.074036 Nail 3 0.0 0.0 0.0 0.0
95 RecyclingPlant (Phoenix) 33.448376 -112.074036 Nail 4 0.0 0.0 0.0 0.0
96 RecyclingPlant (Phoenix) 33.448376 -112.074036 Nail 5 0.0 0.0 0.0 0.0
97 RecyclingPlant (Phoenix) 33.448376 -112.074036 Wood 1 0.0 0.0 0.0 0.0
98 RecyclingPlant (Phoenix) 33.448376 -112.074036 Wood 2 0.0 0.0 0.0 0.0
99 RecyclingPlant (Phoenix) 33.448376 -112.074036 Wood 3 0.0 0.0 0.0 0.0
100 RecyclingPlant (Phoenix) 33.448376 -112.074036 Wood 4 0.0 0.0 0.0 0.0
101 RecyclingPlant (Phoenix) 33.448376 -112.074036 Wood 5 0.0 0.0 0.0 0.0
102 RecyclingPlant (Philadelphia) 39.952583 -75.165222 Nail 1 0.0 0.0 0.0 0.0
103 RecyclingPlant (Philadelphia) 39.952583 -75.165222 Nail 2 0.0 0.0 0.0 0.0
104 RecyclingPlant (Philadelphia) 39.952583 -75.165222 Nail 3 0.0 0.0 0.0 0.0
105 RecyclingPlant (Philadelphia) 39.952583 -75.165222 Nail 4 0.0 0.0 0.0 0.0
106 RecyclingPlant (Philadelphia) 39.952583 -75.165222 Nail 5 0.0 0.0 0.0 0.0
107 RecyclingPlant (Philadelphia) 39.952583 -75.165222 Wood 1 0.0 0.0 0.0 0.0
108 RecyclingPlant (Philadelphia) 39.952583 -75.165222 Wood 2 0.0 0.0 0.0 0.0
109 RecyclingPlant (Philadelphia) 39.952583 -75.165222 Wood 3 0.0 0.0 0.0 0.0
110 RecyclingPlant (Philadelphia) 39.952583 -75.165222 Wood 4 0.0 0.0 0.0 0.0
111 RecyclingPlant (Philadelphia) 39.952583 -75.165222 Wood 5 0.0 0.0 0.0 0.0
112 RecyclingPlant (San Antonio) 29.424122 -98.493629 Nail 1 0.0 0.0 0.0 0.0
113 RecyclingPlant (San Antonio) 29.424122 -98.493629 Nail 2 0.0 0.0 0.0 0.0
114 RecyclingPlant (San Antonio) 29.424122 -98.493629 Nail 3 0.0 0.0 0.0 0.0
115 RecyclingPlant (San Antonio) 29.424122 -98.493629 Nail 4 0.0 0.0 0.0 0.0
116 RecyclingPlant (San Antonio) 29.424122 -98.493629 Nail 5 0.0 0.0 0.0 0.0
117 RecyclingPlant (San Antonio) 29.424122 -98.493629 Wood 1 0.0 0.0 0.0 0.0
118 RecyclingPlant (San Antonio) 29.424122 -98.493629 Wood 2 0.0 0.0 0.0 0.0
119 RecyclingPlant (San Antonio) 29.424122 -98.493629 Wood 3 0.0 0.0 0.0 0.0
120 RecyclingPlant (San Antonio) 29.424122 -98.493629 Wood 4 0.0 0.0 0.0 0.0
121 RecyclingPlant (San Antonio) 29.424122 -98.493629 Wood 5 0.0 0.0 0.0 0.0
122 RecyclingPlant (San Diego) 32.715736 -117.161087 Nail 1 0.0 0.0 0.0 0.0
123 RecyclingPlant (San Diego) 32.715736 -117.161087 Nail 2 0.0 0.0 0.0 0.0
124 RecyclingPlant (San Diego) 32.715736 -117.161087 Nail 3 0.0 0.0 0.0 0.0
125 RecyclingPlant (San Diego) 32.715736 -117.161087 Nail 4 0.0 0.0 0.0 0.0
126 RecyclingPlant (San Diego) 32.715736 -117.161087 Nail 5 0.0 0.0 0.0 0.0
127 RecyclingPlant (San Diego) 32.715736 -117.161087 Wood 1 0.0 0.0 0.0 0.0
128 RecyclingPlant (San Diego) 32.715736 -117.161087 Wood 2 0.0 0.0 0.0 0.0
129 RecyclingPlant (San Diego) 32.715736 -117.161087 Wood 3 0.0 0.0 0.0 0.0
130 RecyclingPlant (San Diego) 32.715736 -117.161087 Wood 4 0.0 0.0 0.0 0.0
131 RecyclingPlant (San Diego) 32.715736 -117.161087 Wood 5 0.0 0.0 0.0 0.0
132 RecyclingPlant (Dallas) 32.776664 -96.796988 Nail 1 0.15789 0.0 0.0 0.0
133 RecyclingPlant (Dallas) 32.776664 -96.796988 Nail 2 0.57341 0.0 0.0 0.0
134 RecyclingPlant (Dallas) 32.776664 -96.796988 Nail 3 0.79428 0.0 0.0 0.0
135 RecyclingPlant (Dallas) 32.776664 -96.796988 Nail 4 0.84522 0.0 0.0 0.0
136 RecyclingPlant (Dallas) 32.776664 -96.796988 Nail 5 0.86354 0.0 0.0 0.0
137 RecyclingPlant (Dallas) 32.776664 -96.796988 Wood 1 3.0 0.0 0.0 0.0
138 RecyclingPlant (Dallas) 32.776664 -96.796988 Wood 2 10.89474 0.0 0.0 0.0
139 RecyclingPlant (Dallas) 32.776664 -96.796988 Wood 3 15.09141 0.0 0.0 0.0
140 RecyclingPlant (Dallas) 32.776664 -96.796988 Wood 4 16.05912 0.0 0.0 0.0
141 RecyclingPlant (Dallas) 32.776664 -96.796988 Wood 5 16.40733 0.0 0.0 0.0
142 RecyclingPlant (San Jose) 37.338208 -121.886329 Nail 1 0.0 0.0 0.0 0.0
143 RecyclingPlant (San Jose) 37.338208 -121.886329 Nail 2 0.0 0.0 0.0 0.0
144 RecyclingPlant (San Jose) 37.338208 -121.886329 Nail 3 0.0 0.0 0.0 0.0
145 RecyclingPlant (San Jose) 37.338208 -121.886329 Nail 4 0.0 0.0 0.0 0.0
146 RecyclingPlant (San Jose) 37.338208 -121.886329 Nail 5 0.0 0.0 0.0 0.0
147 RecyclingPlant (San Jose) 37.338208 -121.886329 Wood 1 0.0 0.0 0.0 0.0
148 RecyclingPlant (San Jose) 37.338208 -121.886329 Wood 2 0.0 0.0 0.0 0.0
149 RecyclingPlant (San Jose) 37.338208 -121.886329 Wood 3 0.0 0.0 0.0 0.0
150 RecyclingPlant (San Jose) 37.338208 -121.886329 Wood 4 0.0 0.0 0.0 0.0
151 RecyclingPlant (San Jose) 37.338208 -121.886329 Wood 5 0.0 0.0 0.0 0.0

202
test/fixtures/boat_example/plants.csv vendored
Unescape View File

@ -1,101 +1,101 @@
plant,year,operational?,input amount (tonne),opening cost ($),fixed operating cost ($),variable operating cost ($) plant,latitude,longitude,initial capacity,current capacity,year,operational?,input amount (tonne),opening cost ($),fixed operating cost ($),variable operating cost ($)
BoatFactory (Chicago),1,false,-0.0,0.0,0.0,-0.0 BoatFactory (Chicago),41.881832,-87.623177,0.0,0.0,1,false,0.0,0.0,0.0,0.0
BoatFactory (Chicago),2,false,-0.0,0.0,0.0,-0.0 BoatFactory (Chicago),41.881832,-87.623177,0.0,0.0,2,false,0.0,0.0,0.0,0.0
BoatFactory (Chicago),3,false,-0.0,0.0,0.0,-0.0 BoatFactory (Chicago),41.881832,-87.623177,0.0,0.0,3,false,0.0,0.0,0.0,0.0
BoatFactory (Chicago),4,false,-0.0,0.0,0.0,-0.0 BoatFactory (Chicago),41.881832,-87.623177,0.0,0.0,4,false,0.0,0.0,0.0,0.0
BoatFactory (Chicago),5,false,-0.0,0.0,0.0,-0.0 BoatFactory (Chicago),41.881832,-87.623177,0.0,0.0,5,false,0.0,0.0,0.0,0.0
BoatFactory (New York City),1,false,0.0,0.0,0.0,0.0 BoatFactory (New York City),40.712776,-74.005974,0.0,0.0,1,false,0.0,0.0,0.0,0.0
BoatFactory (New York City),2,false,0.0,0.0,0.0,0.0 BoatFactory (New York City),40.712776,-74.005974,0.0,0.0,2,false,0.0,0.0,0.0,0.0
BoatFactory (New York City),3,false,0.0,0.0,0.0,0.0 BoatFactory (New York City),40.712776,-74.005974,0.0,0.0,3,false,0.0,0.0,0.0,0.0
BoatFactory (New York City),4,false,0.0,0.0,0.0,0.0 BoatFactory (New York City),40.712776,-74.005974,0.0,0.0,4,false,0.0,0.0,0.0,0.0
BoatFactory (New York City),5,false,0.0,0.0,0.0,0.0 BoatFactory (New York City),40.712776,-74.005974,0.0,0.0,5,false,0.0,0.0,0.0,0.0
BoatFactory (Los Angeles),1,false,-0.0,0.0,0.0,-0.0 BoatFactory (Los Angeles),34.052235,-118.243683,0.0,0.0,1,false,0.0,0.0,0.0,0.0
BoatFactory (Los Angeles),2,false,-0.0,0.0,0.0,-0.0 BoatFactory (Los Angeles),34.052235,-118.243683,0.0,0.0,2,false,0.0,0.0,0.0,0.0
BoatFactory (Los Angeles),3,false,-0.0,0.0,0.0,-0.0 BoatFactory (Los Angeles),34.052235,-118.243683,0.0,0.0,3,false,0.0,0.0,0.0,0.0
BoatFactory (Los Angeles),4,false,-0.0,0.0,0.0,-0.0 BoatFactory (Los Angeles),34.052235,-118.243683,0.0,0.0,4,false,0.0,0.0,0.0,0.0
BoatFactory (Los Angeles),5,false,-0.0,0.0,0.0,-0.0 BoatFactory (Los Angeles),34.052235,-118.243683,0.0,0.0,5,false,0.0,0.0,0.0,0.0
BoatFactory (Houston),1,false,-0.0,0.0,0.0,-0.0 BoatFactory (Houston),29.760427,-95.369804,0.0,0.0,1,false,0.0,0.0,0.0,0.0
BoatFactory (Houston),2,false,-0.0,0.0,0.0,-0.0 BoatFactory (Houston),29.760427,-95.369804,0.0,0.0,2,false,0.0,0.0,0.0,0.0
BoatFactory (Houston),3,false,-0.0,0.0,0.0,-0.0 BoatFactory (Houston),29.760427,-95.369804,0.0,0.0,3,false,0.0,0.0,0.0,0.0
BoatFactory (Houston),4,false,-0.0,0.0,0.0,-0.0 BoatFactory (Houston),29.760427,-95.369804,0.0,0.0,4,false,0.0,0.0,0.0,0.0
BoatFactory (Houston),5,false,-0.0,0.0,0.0,-0.0 BoatFactory (Houston),29.760427,-95.369804,0.0,0.0,5,false,0.0,0.0,0.0,0.0
BoatFactory (Phoenix),1,false,-0.0,0.0,0.0,-0.0 BoatFactory (Phoenix),33.448376,-112.074036,0.0,0.0,1,false,0.0,0.0,0.0,0.0
BoatFactory (Phoenix),2,false,-0.0,0.0,0.0,-0.0 BoatFactory (Phoenix),33.448376,-112.074036,0.0,0.0,2,false,0.0,0.0,0.0,0.0
BoatFactory (Phoenix),3,false,0.0,0.0,0.0,0.0 BoatFactory (Phoenix),33.448376,-112.074036,0.0,0.0,3,false,0.0,0.0,0.0,0.0
BoatFactory (Phoenix),4,false,-0.0,0.0,0.0,-0.0 BoatFactory (Phoenix),33.448376,-112.074036,0.0,0.0,4,false,0.0,0.0,0.0,0.0
BoatFactory (Phoenix),5,false,0.0,0.0,0.0,0.0 BoatFactory (Phoenix),33.448376,-112.074036,0.0,0.0,5,false,0.0,0.0,0.0,0.0
BoatFactory (Philadelphia),1,false,0.0,0.0,0.0,0.0 BoatFactory (Philadelphia),39.952583,-75.165222,0.0,0.0,1,false,0.0,0.0,0.0,0.0
BoatFactory (Philadelphia),2,false,0.0,0.0,0.0,0.0 BoatFactory (Philadelphia),39.952583,-75.165222,0.0,0.0,2,false,0.0,0.0,0.0,0.0
BoatFactory (Philadelphia),3,false,0.0,0.0,0.0,0.0 BoatFactory (Philadelphia),39.952583,-75.165222,0.0,0.0,3,false,0.0,0.0,0.0,0.0
BoatFactory (Philadelphia),4,false,0.0,0.0,0.0,0.0 BoatFactory (Philadelphia),39.952583,-75.165222,0.0,0.0,4,false,0.0,0.0,0.0,0.0
BoatFactory (Philadelphia),5,false,0.0,0.0,0.0,0.0 BoatFactory (Philadelphia),39.952583,-75.165222,0.0,0.0,5,false,0.0,0.0,0.0,0.0
BoatFactory (San Antonio),1,false,-0.0,0.0,0.0,-0.0 BoatFactory (San Antonio),29.424122,-98.493629,0.0,0.0,1,false,0.0,0.0,0.0,0.0
BoatFactory (San Antonio),2,false,-0.0,0.0,0.0,-0.0 BoatFactory (San Antonio),29.424122,-98.493629,0.0,0.0,2,false,0.0,0.0,0.0,0.0
BoatFactory (San Antonio),3,false,-0.0,0.0,0.0,-0.0 BoatFactory (San Antonio),29.424122,-98.493629,0.0,0.0,3,false,0.0,0.0,0.0,0.0
BoatFactory (San Antonio),4,false,-0.0,0.0,0.0,-0.0 BoatFactory (San Antonio),29.424122,-98.493629,0.0,0.0,4,false,0.0,0.0,0.0,0.0
BoatFactory (San Antonio),5,false,-0.0,0.0,0.0,-0.0 BoatFactory (San Antonio),29.424122,-98.493629,0.0,0.0,5,false,0.0,0.0,0.0,0.0
BoatFactory (San Diego),1,false,0.0,0.0,0.0,0.0 BoatFactory (San Diego),32.715736,-117.161087,0.0,0.0,1,false,0.0,0.0,0.0,0.0
BoatFactory (San Diego),2,false,0.0,0.0,0.0,0.0 BoatFactory (San Diego),32.715736,-117.161087,0.0,0.0,2,false,0.0,0.0,0.0,0.0
BoatFactory (San Diego),3,false,0.0,0.0,0.0,0.0 BoatFactory (San Diego),32.715736,-117.161087,0.0,0.0,3,false,0.0,0.0,0.0,0.0
BoatFactory (San Diego),4,false,0.0,0.0,0.0,0.0 BoatFactory (San Diego),32.715736,-117.161087,0.0,0.0,4,false,0.0,0.0,0.0,0.0
BoatFactory (San Diego),5,false,0.0,0.0,0.0,0.0 BoatFactory (San Diego),32.715736,-117.161087,0.0,0.0,5,false,0.0,0.0,0.0,0.0
BoatFactory (Dallas),1,true,63.15789,100000.0,250000.0,315.78947 BoatFactory (Dallas),32.776664,-96.796988,0.0,500.0,1,true,63.15789,100000.0,250000.0,315.78947
BoatFactory (Dallas),2,true,71.46814,0.0,250000.0,357.34072 BoatFactory (Dallas),32.776664,-96.796988,0.0,500.0,2,true,71.46814,0.0,250000.0,357.34072
BoatFactory (Dallas),3,true,75.8857,0.0,250000.0,379.42849 BoatFactory (Dallas),32.776664,-96.796988,0.0,500.0,3,true,75.8857,0.0,250000.0,379.42849
BoatFactory (Dallas),4,true,76.90434,0.0,250000.0,384.52168 BoatFactory (Dallas),32.776664,-96.796988,0.0,500.0,4,true,76.90434,0.0,250000.0,384.52168
BoatFactory (Dallas),5,true,77.27087,0.0,250000.0,386.35435 BoatFactory (Dallas),32.776664,-96.796988,0.0,500.0,5,true,77.27087,0.0,250000.0,386.35435
BoatFactory (San Jose),1,false,0.0,0.0,0.0,0.0 BoatFactory (San Jose),37.338208,-121.886329,0.0,0.0,1,false,0.0,0.0,0.0,0.0
BoatFactory (San Jose),2,false,0.0,0.0,0.0,0.0 BoatFactory (San Jose),37.338208,-121.886329,0.0,0.0,2,false,0.0,0.0,0.0,0.0
BoatFactory (San Jose),3,false,0.0,0.0,0.0,0.0 BoatFactory (San Jose),37.338208,-121.886329,0.0,0.0,3,false,0.0,0.0,0.0,0.0
BoatFactory (San Jose),4,false,0.0,0.0,0.0,0.0 BoatFactory (San Jose),37.338208,-121.886329,0.0,0.0,4,false,0.0,0.0,0.0,0.0
BoatFactory (San Jose),5,false,0.0,0.0,0.0,0.0 BoatFactory (San Jose),37.338208,-121.886329,0.0,0.0,5,false,0.0,0.0,0.0,0.0
RecyclingPlant (Chicago),1,false,0.0,0.0,0.0,0.0 RecyclingPlant (Chicago),41.881832,-87.623177,0.0,0.0,1,false,0.0,0.0,0.0,0.0
RecyclingPlant (Chicago),2,false,0.0,0.0,0.0,0.0 RecyclingPlant (Chicago),41.881832,-87.623177,0.0,0.0,2,false,-0.0,0.0,0.0,-0.0
RecyclingPlant (Chicago),3,false,0.0,0.0,0.0,0.0 RecyclingPlant (Chicago),41.881832,-87.623177,0.0,0.0,3,false,0.0,0.0,0.0,0.0
RecyclingPlant (Chicago),4,false,0.0,0.0,0.0,0.0 RecyclingPlant (Chicago),41.881832,-87.623177,0.0,0.0,4,false,0.0,0.0,0.0,0.0
RecyclingPlant (Chicago),5,false,0.0,0.0,0.0,0.0 RecyclingPlant (Chicago),41.881832,-87.623177,0.0,0.0,5,false,0.0,0.0,0.0,0.0
RecyclingPlant (New York City),1,false,0.0,0.0,0.0,0.0 RecyclingPlant (New York City),40.712776,-74.005974,0.0,0.0,1,false,0.0,0.0,0.0,0.0
RecyclingPlant (New York City),2,false,0.0,0.0,0.0,0.0 RecyclingPlant (New York City),40.712776,-74.005974,0.0,0.0,2,false,0.0,0.0,0.0,0.0
RecyclingPlant (New York City),3,false,0.0,0.0,0.0,0.0 RecyclingPlant (New York City),40.712776,-74.005974,0.0,0.0,3,false,0.0,0.0,0.0,0.0
RecyclingPlant (New York City),4,false,0.0,0.0,0.0,0.0 RecyclingPlant (New York City),40.712776,-74.005974,0.0,0.0,4,false,0.0,0.0,0.0,0.0
RecyclingPlant (New York City),5,false,0.0,0.0,0.0,0.0 RecyclingPlant (New York City),40.712776,-74.005974,0.0,0.0,5,false,0.0,0.0,0.0,0.0
RecyclingPlant (Los Angeles),1,false,0.0,0.0,0.0,0.0 RecyclingPlant (Los Angeles),34.052235,-118.243683,0.0,0.0,1,false,0.0,0.0,0.0,0.0
RecyclingPlant (Los Angeles),2,false,0.0,0.0,0.0,0.0 RecyclingPlant (Los Angeles),34.052235,-118.243683,0.0,0.0,2,false,0.0,0.0,0.0,0.0
RecyclingPlant (Los Angeles),3,false,0.0,0.0,0.0,0.0 RecyclingPlant (Los Angeles),34.052235,-118.243683,0.0,0.0,3,false,0.0,0.0,0.0,0.0
RecyclingPlant (Los Angeles),4,false,0.0,0.0,0.0,0.0 RecyclingPlant (Los Angeles),34.052235,-118.243683,0.0,0.0,4,false,0.0,0.0,0.0,0.0
RecyclingPlant (Los Angeles),5,false,0.0,0.0,0.0,0.0 RecyclingPlant (Los Angeles),34.052235,-118.243683,0.0,0.0,5,false,0.0,0.0,0.0,0.0
RecyclingPlant (Houston),1,false,0.0,0.0,0.0,0.0 RecyclingPlant (Houston),29.760427,-95.369804,0.0,0.0,1,false,0.0,0.0,0.0,0.0
RecyclingPlant (Houston),2,false,0.0,0.0,0.0,0.0 RecyclingPlant (Houston),29.760427,-95.369804,0.0,0.0,2,false,0.0,0.0,0.0,0.0
RecyclingPlant (Houston),3,false,0.0,0.0,0.0,0.0 RecyclingPlant (Houston),29.760427,-95.369804,0.0,0.0,3,false,0.0,0.0,0.0,0.0
RecyclingPlant (Houston),4,false,0.0,0.0,0.0,0.0 RecyclingPlant (Houston),29.760427,-95.369804,0.0,0.0,4,false,0.0,0.0,0.0,0.0
RecyclingPlant (Houston),5,false,0.0,0.0,0.0,0.0 RecyclingPlant (Houston),29.760427,-95.369804,0.0,0.0,5,false,0.0,0.0,0.0,0.0
RecyclingPlant (Phoenix),1,false,0.0,0.0,0.0,0.0 RecyclingPlant (Phoenix),33.448376,-112.074036,0.0,0.0,1,false,0.0,0.0,0.0,0.0
RecyclingPlant (Phoenix),2,false,0.0,0.0,0.0,0.0 RecyclingPlant (Phoenix),33.448376,-112.074036,0.0,0.0,2,false,0.0,0.0,0.0,0.0
RecyclingPlant (Phoenix),3,false,-0.0,0.0,0.0,-0.0 RecyclingPlant (Phoenix),33.448376,-112.074036,0.0,0.0,3,false,0.0,0.0,0.0,0.0
RecyclingPlant (Phoenix),4,false,0.0,0.0,0.0,0.0 RecyclingPlant (Phoenix),33.448376,-112.074036,0.0,0.0,4,false,0.0,0.0,0.0,0.0
RecyclingPlant (Phoenix),5,false,0.0,0.0,0.0,0.0 RecyclingPlant (Phoenix),33.448376,-112.074036,0.0,0.0,5,false,0.0,0.0,0.0,0.0
RecyclingPlant (Philadelphia),1,false,0.0,0.0,0.0,0.0 RecyclingPlant (Philadelphia),39.952583,-75.165222,0.0,0.0,1,false,0.0,0.0,0.0,0.0
RecyclingPlant (Philadelphia),2,false,0.0,0.0,0.0,0.0 RecyclingPlant (Philadelphia),39.952583,-75.165222,0.0,0.0,2,false,0.0,0.0,0.0,0.0
RecyclingPlant (Philadelphia),3,false,0.0,0.0,0.0,0.0 RecyclingPlant (Philadelphia),39.952583,-75.165222,0.0,0.0,3,false,0.0,0.0,0.0,0.0
RecyclingPlant (Philadelphia),4,false,0.0,0.0,0.0,0.0 RecyclingPlant (Philadelphia),39.952583,-75.165222,0.0,0.0,4,false,0.0,0.0,0.0,0.0
RecyclingPlant (Philadelphia),5,false,0.0,0.0,0.0,0.0 RecyclingPlant (Philadelphia),39.952583,-75.165222,0.0,0.0,5,false,0.0,0.0,0.0,0.0
RecyclingPlant (San Antonio),1,false,0.0,0.0,0.0,0.0 RecyclingPlant (San Antonio),29.424122,-98.493629,0.0,0.0,1,false,0.0,0.0,0.0,0.0
RecyclingPlant (San Antonio),2,false,0.0,0.0,0.0,0.0 RecyclingPlant (San Antonio),29.424122,-98.493629,0.0,0.0,2,false,0.0,0.0,0.0,0.0
RecyclingPlant (San Antonio),3,false,0.0,0.0,0.0,0.0 RecyclingPlant (San Antonio),29.424122,-98.493629,0.0,0.0,3,false,0.0,0.0,0.0,0.0
RecyclingPlant (San Antonio),4,false,0.0,0.0,0.0,0.0 RecyclingPlant (San Antonio),29.424122,-98.493629,0.0,0.0,4,false,0.0,0.0,0.0,0.0
RecyclingPlant (San Antonio),5,false,0.0,0.0,0.0,0.0 RecyclingPlant (San Antonio),29.424122,-98.493629,0.0,0.0,5,false,0.0,0.0,0.0,0.0
RecyclingPlant (San Diego),1,false,0.0,0.0,0.0,0.0 RecyclingPlant (San Diego),32.715736,-117.161087,0.0,0.0,1,false,0.0,0.0,0.0,0.0
RecyclingPlant (San Diego),2,false,0.0,0.0,0.0,0.0 RecyclingPlant (San Diego),32.715736,-117.161087,0.0,0.0,2,false,0.0,0.0,0.0,0.0
RecyclingPlant (San Diego),3,false,0.0,0.0,0.0,0.0 RecyclingPlant (San Diego),32.715736,-117.161087,0.0,0.0,3,false,0.0,0.0,0.0,0.0
RecyclingPlant (San Diego),4,false,0.0,0.0,0.0,0.0 RecyclingPlant (San Diego),32.715736,-117.161087,0.0,0.0,4,false,0.0,0.0,0.0,0.0
RecyclingPlant (San Diego),5,false,0.0,0.0,0.0,0.0 RecyclingPlant (San Diego),32.715736,-117.161087,0.0,0.0,5,false,0.0,0.0,0.0,0.0
RecyclingPlant (Dallas),1,true,6.31579,500000.0,125000.0,15.78947 RecyclingPlant (Dallas),32.776664,-96.796988,0.0,500.0,1,true,6.31579,500000.0,125000.0,15.78947
RecyclingPlant (Dallas),2,true,22.93629,0.0,125000.0,57.34072 RecyclingPlant (Dallas),32.776664,-96.796988,0.0,500.0,2,true,22.93629,0.0,125000.0,57.34072
RecyclingPlant (Dallas),3,true,31.7714,0.0,125000.0,79.42849 RecyclingPlant (Dallas),32.776664,-96.796988,0.0,500.0,3,true,31.7714,0.0,125000.0,79.42849
RecyclingPlant (Dallas),4,true,33.80867,0.0,125000.0,84.52168 RecyclingPlant (Dallas),32.776664,-96.796988,0.0,500.0,4,true,33.80867,0.0,125000.0,84.52168
RecyclingPlant (Dallas),5,true,34.54174,0.0,125000.0,86.35435 RecyclingPlant (Dallas),32.776664,-96.796988,0.0,500.0,5,true,34.54174,0.0,125000.0,86.35435
RecyclingPlant (San Jose),1,false,0.0,0.0,0.0,0.0 RecyclingPlant (San Jose),37.338208,-121.886329,0.0,0.0,1,false,0.0,0.0,0.0,0.0
RecyclingPlant (San Jose),2,false,0.0,0.0,0.0,0.0 RecyclingPlant (San Jose),37.338208,-121.886329,0.0,0.0,2,false,0.0,0.0,0.0,0.0
RecyclingPlant (San Jose),3,false,0.0,0.0,0.0,0.0 RecyclingPlant (San Jose),37.338208,-121.886329,0.0,0.0,3,false,0.0,0.0,0.0,0.0
RecyclingPlant (San Jose),4,false,0.0,0.0,0.0,0.0 RecyclingPlant (San Jose),37.338208,-121.886329,0.0,0.0,4,false,0.0,0.0,0.0,0.0
RecyclingPlant (San Jose),5,false,0.0,0.0,0.0,0.0 RecyclingPlant (San Jose),37.338208,-121.886329,0.0,0.0,5,false,0.0,0.0,0.0,0.0

1 plant latitude longitude initial capacity current capacity year operational? input amount (tonne) opening cost ($) fixed operating cost ($) variable operating cost ($)
2 BoatFactory (Chicago) 41.881832 -87.623177 0.0 0.0 1 false -0.0 0.0 0.0 0.0 -0.0 0.0
3 BoatFactory (Chicago) 41.881832 -87.623177 0.0 0.0 2 false -0.0 0.0 0.0 0.0 -0.0 0.0
4 BoatFactory (Chicago) 41.881832 -87.623177 0.0 0.0 3 false -0.0 0.0 0.0 0.0 -0.0 0.0
5 BoatFactory (Chicago) 41.881832 -87.623177 0.0 0.0 4 false -0.0 0.0 0.0 0.0 -0.0 0.0
6 BoatFactory (Chicago) 41.881832 -87.623177 0.0 0.0 5 false -0.0 0.0 0.0 0.0 -0.0 0.0
7 BoatFactory (New York City) 40.712776 -74.005974 0.0 0.0 1 false 0.0 0.0 0.0 0.0
8 BoatFactory (New York City) 40.712776 -74.005974 0.0 0.0 2 false 0.0 0.0 0.0 0.0
9 BoatFactory (New York City) 40.712776 -74.005974 0.0 0.0 3 false 0.0 0.0 0.0 0.0
10 BoatFactory (New York City) 40.712776 -74.005974 0.0 0.0 4 false 0.0 0.0 0.0 0.0
11 BoatFactory (New York City) 40.712776 -74.005974 0.0 0.0 5 false 0.0 0.0 0.0 0.0
12 BoatFactory (Los Angeles) 34.052235 -118.243683 0.0 0.0 1 false -0.0 0.0 0.0 0.0 -0.0 0.0
13 BoatFactory (Los Angeles) 34.052235 -118.243683 0.0 0.0 2 false -0.0 0.0 0.0 0.0 -0.0 0.0
14 BoatFactory (Los Angeles) 34.052235 -118.243683 0.0 0.0 3 false -0.0 0.0 0.0 0.0 -0.0 0.0
15 BoatFactory (Los Angeles) 34.052235 -118.243683 0.0 0.0 4 false -0.0 0.0 0.0 0.0 -0.0 0.0
16 BoatFactory (Los Angeles) 34.052235 -118.243683 0.0 0.0 5 false -0.0 0.0 0.0 0.0 -0.0 0.0
17 BoatFactory (Houston) 29.760427 -95.369804 0.0 0.0 1 false -0.0 0.0 0.0 0.0 -0.0 0.0
18 BoatFactory (Houston) 29.760427 -95.369804 0.0 0.0 2 false -0.0 0.0 0.0 0.0 -0.0 0.0
19 BoatFactory (Houston) 29.760427 -95.369804 0.0 0.0 3 false -0.0 0.0 0.0 0.0 -0.0 0.0
20 BoatFactory (Houston) 29.760427 -95.369804 0.0 0.0 4 false -0.0 0.0 0.0 0.0 -0.0 0.0
21 BoatFactory (Houston) 29.760427 -95.369804 0.0 0.0 5 false -0.0 0.0 0.0 0.0 -0.0 0.0
22 BoatFactory (Phoenix) 33.448376 -112.074036 0.0 0.0 1 false -0.0 0.0 0.0 0.0 -0.0 0.0
23 BoatFactory (Phoenix) 33.448376 -112.074036 0.0 0.0 2 false -0.0 0.0 0.0 0.0 -0.0 0.0
24 BoatFactory (Phoenix) 33.448376 -112.074036 0.0 0.0 3 false 0.0 0.0 0.0 0.0
25 BoatFactory (Phoenix) 33.448376 -112.074036 0.0 0.0 4 false -0.0 0.0 0.0 0.0 -0.0 0.0
26 BoatFactory (Phoenix) 33.448376 -112.074036 0.0 0.0 5 false 0.0 0.0 0.0 0.0
27 BoatFactory (Philadelphia) 39.952583 -75.165222 0.0 0.0 1 false 0.0 0.0 0.0 0.0
28 BoatFactory (Philadelphia) 39.952583 -75.165222 0.0 0.0 2 false 0.0 0.0 0.0 0.0
29 BoatFactory (Philadelphia) 39.952583 -75.165222 0.0 0.0 3 false 0.0 0.0 0.0 0.0
30 BoatFactory (Philadelphia) 39.952583 -75.165222 0.0 0.0 4 false 0.0 0.0 0.0 0.0
31 BoatFactory (Philadelphia) 39.952583 -75.165222 0.0 0.0 5 false 0.0 0.0 0.0 0.0
32 BoatFactory (San Antonio) 29.424122 -98.493629 0.0 0.0 1 false -0.0 0.0 0.0 0.0 -0.0 0.0
33 BoatFactory (San Antonio) 29.424122 -98.493629 0.0 0.0 2 false -0.0 0.0 0.0 0.0 -0.0 0.0
34 BoatFactory (San Antonio) 29.424122 -98.493629 0.0 0.0 3 false -0.0 0.0 0.0 0.0 -0.0 0.0
35 BoatFactory (San Antonio) 29.424122 -98.493629 0.0 0.0 4 false -0.0 0.0 0.0 0.0 -0.0 0.0
36 BoatFactory (San Antonio) 29.424122 -98.493629 0.0 0.0 5 false -0.0 0.0 0.0 0.0 -0.0 0.0
37 BoatFactory (San Diego) 32.715736 -117.161087 0.0 0.0 1 false 0.0 0.0 0.0 0.0
38 BoatFactory (San Diego) 32.715736 -117.161087 0.0 0.0 2 false 0.0 0.0 0.0 0.0
39 BoatFactory (San Diego) 32.715736 -117.161087 0.0 0.0 3 false 0.0 0.0 0.0 0.0
40 BoatFactory (San Diego) 32.715736 -117.161087 0.0 0.0 4 false 0.0 0.0 0.0 0.0
41 BoatFactory (San Diego) 32.715736 -117.161087 0.0 0.0 5 false 0.0 0.0 0.0 0.0
42 BoatFactory (Dallas) 32.776664 -96.796988 0.0 500.0 1 true 63.15789 100000.0 250000.0 315.78947
43 BoatFactory (Dallas) 32.776664 -96.796988 0.0 500.0 2 true 71.46814 0.0 250000.0 357.34072
44 BoatFactory (Dallas) 32.776664 -96.796988 0.0 500.0 3 true 75.8857 0.0 250000.0 379.42849
45 BoatFactory (Dallas) 32.776664 -96.796988 0.0 500.0 4 true 76.90434 0.0 250000.0 384.52168
46 BoatFactory (Dallas) 32.776664 -96.796988 0.0 500.0 5 true 77.27087 0.0 250000.0 386.35435
47 BoatFactory (San Jose) 37.338208 -121.886329 0.0 0.0 1 false 0.0 0.0 0.0 0.0
48 BoatFactory (San Jose) 37.338208 -121.886329 0.0 0.0 2 false 0.0 0.0 0.0 0.0
49 BoatFactory (San Jose) 37.338208 -121.886329 0.0 0.0 3 false 0.0 0.0 0.0 0.0
50 BoatFactory (San Jose) 37.338208 -121.886329 0.0 0.0 4 false 0.0 0.0 0.0 0.0
51 BoatFactory (San Jose) 37.338208 -121.886329 0.0 0.0 5 false 0.0 0.0 0.0 0.0
52 RecyclingPlant (Chicago) 41.881832 -87.623177 0.0 0.0 1 false 0.0 0.0 0.0 0.0
53 RecyclingPlant (Chicago) 41.881832 -87.623177 0.0 0.0 2 false 0.0 -0.0 0.0 0.0 0.0 -0.0
54 RecyclingPlant (Chicago) 41.881832 -87.623177 0.0 0.0 3 false 0.0 0.0 0.0 0.0
55 RecyclingPlant (Chicago) 41.881832 -87.623177 0.0 0.0 4 false 0.0 0.0 0.0 0.0
56 RecyclingPlant (Chicago) 41.881832 -87.623177 0.0 0.0 5 false 0.0 0.0 0.0 0.0
57 RecyclingPlant (New York City) 40.712776 -74.005974 0.0 0.0 1 false 0.0 0.0 0.0 0.0
58 RecyclingPlant (New York City) 40.712776 -74.005974 0.0 0.0 2 false 0.0 0.0 0.0 0.0
59 RecyclingPlant (New York City) 40.712776 -74.005974 0.0 0.0 3 false 0.0 0.0 0.0 0.0
60 RecyclingPlant (New York City) 40.712776 -74.005974 0.0 0.0 4 false 0.0 0.0 0.0 0.0
61 RecyclingPlant (New York City) 40.712776 -74.005974 0.0 0.0 5 false 0.0 0.0 0.0 0.0
62 RecyclingPlant (Los Angeles) 34.052235 -118.243683 0.0 0.0 1 false 0.0 0.0 0.0 0.0
63 RecyclingPlant (Los Angeles) 34.052235 -118.243683 0.0 0.0 2 false 0.0 0.0 0.0 0.0
64 RecyclingPlant (Los Angeles) 34.052235 -118.243683 0.0 0.0 3 false 0.0 0.0 0.0 0.0
65 RecyclingPlant (Los Angeles) 34.052235 -118.243683 0.0 0.0 4 false 0.0 0.0 0.0 0.0
66 RecyclingPlant (Los Angeles) 34.052235 -118.243683 0.0 0.0 5 false 0.0 0.0 0.0 0.0
67 RecyclingPlant (Houston) 29.760427 -95.369804 0.0 0.0 1 false 0.0 0.0 0.0 0.0
68 RecyclingPlant (Houston) 29.760427 -95.369804 0.0 0.0 2 false 0.0 0.0 0.0 0.0
69 RecyclingPlant (Houston) 29.760427 -95.369804 0.0 0.0 3 false 0.0 0.0 0.0 0.0
70 RecyclingPlant (Houston) 29.760427 -95.369804 0.0 0.0 4 false 0.0 0.0 0.0 0.0
71 RecyclingPlant (Houston) 29.760427 -95.369804 0.0 0.0 5 false 0.0 0.0 0.0 0.0
72 RecyclingPlant (Phoenix) 33.448376 -112.074036 0.0 0.0 1 false 0.0 0.0 0.0 0.0
73 RecyclingPlant (Phoenix) 33.448376 -112.074036 0.0 0.0 2 false 0.0 0.0 0.0 0.0
74 RecyclingPlant (Phoenix) 33.448376 -112.074036 0.0 0.0 3 false -0.0 0.0 0.0 0.0 -0.0 0.0
75 RecyclingPlant (Phoenix) 33.448376 -112.074036 0.0 0.0 4 false 0.0 0.0 0.0 0.0
76 RecyclingPlant (Phoenix) 33.448376 -112.074036 0.0 0.0 5 false 0.0 0.0 0.0 0.0
77 RecyclingPlant (Philadelphia) 39.952583 -75.165222 0.0 0.0 1 false 0.0 0.0 0.0 0.0
78 RecyclingPlant (Philadelphia) 39.952583 -75.165222 0.0 0.0 2 false 0.0 0.0 0.0 0.0
79 RecyclingPlant (Philadelphia) 39.952583 -75.165222 0.0 0.0 3 false 0.0 0.0 0.0 0.0
80 RecyclingPlant (Philadelphia) 39.952583 -75.165222 0.0 0.0 4 false 0.0 0.0 0.0 0.0
81 RecyclingPlant (Philadelphia) 39.952583 -75.165222 0.0 0.0 5 false 0.0 0.0 0.0 0.0
82 RecyclingPlant (San Antonio) 29.424122 -98.493629 0.0 0.0 1 false 0.0 0.0 0.0 0.0
83 RecyclingPlant (San Antonio) 29.424122 -98.493629 0.0 0.0 2 false 0.0 0.0 0.0 0.0
84 RecyclingPlant (San Antonio) 29.424122 -98.493629 0.0 0.0 3 false 0.0 0.0 0.0 0.0
85 RecyclingPlant (San Antonio) 29.424122 -98.493629 0.0 0.0 4 false 0.0 0.0 0.0 0.0
86 RecyclingPlant (San Antonio) 29.424122 -98.493629 0.0 0.0 5 false 0.0 0.0 0.0 0.0
87 RecyclingPlant (San Diego) 32.715736 -117.161087 0.0 0.0 1 false 0.0 0.0 0.0 0.0
88 RecyclingPlant (San Diego) 32.715736 -117.161087 0.0 0.0 2 false 0.0 0.0 0.0 0.0
89 RecyclingPlant (San Diego) 32.715736 -117.161087 0.0 0.0 3 false 0.0 0.0 0.0 0.0
90 RecyclingPlant (San Diego) 32.715736 -117.161087 0.0 0.0 4 false 0.0 0.0 0.0 0.0
91 RecyclingPlant (San Diego) 32.715736 -117.161087 0.0 0.0 5 false 0.0 0.0 0.0 0.0
92 RecyclingPlant (Dallas) 32.776664 -96.796988 0.0 500.0 1 true 6.31579 500000.0 125000.0 15.78947
93 RecyclingPlant (Dallas) 32.776664 -96.796988 0.0 500.0 2 true 22.93629 0.0 125000.0 57.34072
94 RecyclingPlant (Dallas) 32.776664 -96.796988 0.0 500.0 3 true 31.7714 0.0 125000.0 79.42849
95 RecyclingPlant (Dallas) 32.776664 -96.796988 0.0 500.0 4 true 33.80867 0.0 125000.0 84.52168
96 RecyclingPlant (Dallas) 32.776664 -96.796988 0.0 500.0 5 true 34.54174 0.0 125000.0 86.35435
97 RecyclingPlant (San Jose) 37.338208 -121.886329 0.0 0.0 1 false 0.0 0.0 0.0 0.0
98 RecyclingPlant (San Jose) 37.338208 -121.886329 0.0 0.0 2 false 0.0 0.0 0.0 0.0
99 RecyclingPlant (San Jose) 37.338208 -121.886329 0.0 0.0 3 false 0.0 0.0 0.0 0.0
100 RecyclingPlant (San Jose) 37.338208 -121.886329 0.0 0.0 4 false 0.0 0.0 0.0 0.0
101 RecyclingPlant (San Jose) 37.338208 -121.886329 0.0 0.0 5 false 0.0 0.0 0.0 0.0

12
test/fixtures/simple.json vendored
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@ -11,7 +11,8 @@
"transportation emissions (tonne/km/tonne)": { "transportation emissions (tonne/km/tonne)": {
"CO2": 0.052, "CO2": 0.052,
"CH4": [0.003, 0.003, 0.003, 0.003] "CH4": [0.003, 0.003, 0.003, 0.003]
} },
"disposal limit (tonne)": 1.0
}, },
"P2": { "P2": {
"transportation cost ($/km/tonne)": [0.015, 0.015, 0.015, 0.015], "transportation cost ($/km/tonne)": [0.015, 0.015, 0.015, 0.015],
@ -19,7 +20,8 @@
"transportation emissions (tonne/km/tonne)": { "transportation emissions (tonne/km/tonne)": {
"CO2": [0.052, 0.052, 0.052, 0.052], "CO2": [0.052, 0.052, 0.052, 0.052],
"CH4": [0.003, 0.003, 0.003, 0.003] "CH4": [0.003, 0.003, 0.003, 0.003]
} },
"disposal limit (tonne)": 2.0
}, },
"P3": { "P3": {
"transportation cost ($/km/tonne)": [0.015, 0.015, 0.015, 0.015], "transportation cost ($/km/tonne)": [0.015, 0.015, 0.015, 0.015],
@ -27,7 +29,8 @@
"transportation emissions (tonne/km/tonne)": { "transportation emissions (tonne/km/tonne)": {
"CO2": [0.052, 0.052, 0.052, 0.052], "CO2": [0.052, 0.052, 0.052, 0.052],
"CH4": [0.003, 0.003, 0.003, 0.003] "CH4": [0.003, 0.003, 0.003, 0.003]
} },
"disposal limit (tonne)": 5.0
}, },
"P4": { "P4": {
"transportation cost ($/km/tonne)": [0.015, 0.015, 0.015, 0.015], "transportation cost ($/km/tonne)": [0.015, 0.015, 0.015, 0.015],
@ -35,7 +38,8 @@
"transportation emissions (tonne/km/tonne)": { "transportation emissions (tonne/km/tonne)": {
"CO2": [0.052, 0.052, 0.052, 0.052], "CO2": [0.052, 0.052, 0.052, 0.052],
"CH4": [0.003, 0.003, 0.003, 0.003] "CH4": [0.003, 0.003, 0.003, 0.003]
} },
"disposal limit (tonne)": null
} }
}, },
"centers": { "centers": {

1
test/src/RELOGT.jl
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@ -24,6 +24,7 @@ function runtests()
model_dist_test() model_dist_test()
report_tests() report_tests()
end end
return
end end
function format() function format()

1
test/src/instance/parse_test.jl
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@ -18,6 +18,7 @@ function instance_parse_test_1()
@test p1.tr_energy == [0.12, 0.12, 0.12, 0.12] @test p1.tr_energy == [0.12, 0.12, 0.12, 0.12]
@test p1.tr_emissions == @test p1.tr_emissions ==
Dict("CO2" => [0.052, 0.052, 0.052, 0.052], "CH4" => [0.003, 0.003, 0.003, 0.003]) Dict("CO2" => [0.052, 0.052, 0.052, 0.052], "CH4" => [0.003, 0.003, 0.003, 0.003])
@test p1.disposal_limit == [1.0, 1.0, 1.0, 1.0]
@test instance.products_by_name["P1"] === p1 @test instance.products_by_name["P1"] === p1
p2 = instance.products[2] p2 = instance.products[2]
p3 = instance.products[3] p3 = instance.products[3]

9
test/src/model/build_test.jl
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@ -109,4 +109,13 @@ function model_build_test()
@test repr(model[:eq_disposal_limit]["C1", "P2", 1]) == @test repr(model[:eq_disposal_limit]["C1", "P2", 1]) ==
"eq_disposal_limit[C1,P2,1] : z_disp[C1,P2,1] ≤ 0" "eq_disposal_limit[C1,P2,1] : z_disp[C1,P2,1] ≤ 0"
@test ("C1", "P3", 1) ∉ keys(model[:eq_disposal_limit]) @test ("C1", "P3", 1) ∉ keys(model[:eq_disposal_limit])
# Global disposal limit
@test repr(model[:eq_disposal_limit]["P1", 1]) ==
"eq_disposal_limit[P1,1] : z_disp[C2,P1,1] ≤ 1"
@test repr(model[:eq_disposal_limit]["P2", 1]) ==
"eq_disposal_limit[P2,1] : z_disp[C1,P2,1] ≤ 2"
@test repr(model[:eq_disposal_limit]["P3", 1]) ==
"eq_disposal_limit[P3,1] : z_disp[L1,P3,1] + z_disp[C1,P3,1] ≤ 5"
@test ("P4", 1) ∉ keys(model[:eq_disposal_limit])
end end

16
test/src/model/dist_test.jl
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@ -6,8 +6,20 @@ using RELOG
function model_dist_test() function model_dist_test()
# Euclidean distance between Chicago and Indianapolis # Euclidean distance between Chicago and Indianapolis
@test RELOG._calculate_distance(41.866, -87.656, 39.764, -86.148, RELOG.EuclideanDistance()) == 265.818 @test RELOG._calculate_distance(
41.866,
-87.656,
39.764,
-86.148,
RELOG.EuclideanDistance(),
) == 265.818
# Driving distance between Chicago and Indianapolis # Driving distance between Chicago and Indianapolis
@test RELOG._calculate_distance(41.866, -87.656, 39.764, -86.148, RELOG.KnnDrivingDistance()) == 316.43 @test RELOG._calculate_distance(
41.866,
-87.656,
39.764,
-86.148,
RELOG.KnnDrivingDistance(),
) == 316.43
end end

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