19 changed files with 519 additions and 610 deletions
--- a/docs/src/format.md
+++ b/docs/src/format.md
@ -1,7 +1,6 @@
 # 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

@ -26,11 +25,10 @@ RELOG accepts as input a JSON file with four sections: `parameters`, `products`,
 ## Products

 | Key                                         | Description                                                                                                                                                                                            |
-| :------------------------------------------ | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| :------------------------------------------ | :----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
 | `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 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

@ -43,8 +41,7 @@ RELOG accepts as input a JSON file with four sections: `parameters`, `products`,
      "transportation emissions (tonne/km/tonne)": {
        "CO2": 0.052,
        "CH4": 0.003
-      },
-      "disposal limit (tonne)": 100.0,
+      }
    }
  }
 }
--- a/docs/src/problem.md
+++ b/docs/src/problem.md
@ -5,8 +5,8 @@
 The mathematical model employed by RELOG is based on three main components:

 1. **Products and Materials:** Inputs and outputs for both manufacturing and
-   recycling plants. This include raw materials, whether virgin or recovered,
-   and final products, whether new or at their end-of-life. Each product has
+   recycling plants. This include raw materials, whether virgin or recovered, and
+   final products, whether new or at their end-of-life. Each product has
   associated transportation parameters, such as costs, energy and emissions.

 2. **Manufacturing and Recycling Plants:** Facilities that take in specific
@ -49,11 +49,10 @@ The mathematical model employed by RELOG is based on three main components:
 ## Constants

 | Symbol                      | Description                                                                                                                                                                                                      | Unit          |
-| :-------------------------- | :--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :---------- |
+| :-------------------------- | :--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :------------ |
 | $K^{\text{dist}}_{uv}$      | Distance between plants/centers $u$ and $v$                                                                                                                                                                      | km            |
 | $K^\text{cap}_{p}$          | Capacity of plant $p$, if the plant is open                                                                                                                                                                      | tonne         |
-| $K^\text{disp-limit}_{mt}$  | Maximum amount of material $m$ that can be disposed of (globally) at time $t$                                                                                                                                    | tonne       |
-| $K^\text{disp-limit}_{mut}$ | Maximum amount of material $m$ that can be disposed of at plant/center $u$ at time $t$                                                                                                                           | tonne       |
+| $K^\text{disp-limit}_{pmt}$ | Maximum amount of material $m$ that can be disposed of at plant $p$ 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         |
 | $K^\text{output}_{pmt}$     | Amount of material $m$ produced by plant $p$ at time $t$ for each tonne of input material processed                                                                                                              | tonne         |
 | $R^\text{tr}_{mt}$          | Cost to send material $m$ at time $t$                                                                                                                                                                            | \$/km-tonne   |
@ -197,7 +196,7 @@ The goals is to minimize a linear objective function with the following terms:
 \end{align*}
 ```

- Disposal limit at the plants (`eq_disposal_limit[p.name, m.name, t]`):
+- Disposal limit at the plants (`eq_keep_open[p.name, t]`):

 ```math
 \begin{align*}
@ -256,12 +255,3 @@ The goals is to minimize a linear objective function with the following terms:
 & \forall c \in C, m \in M^+_c, t \in T
 \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*}
-```
--- a/src/instance/parse.jl
+++ b/src/instance/parse.jl
@ -20,10 +20,9 @@ function parse(json)::Instance
        error("Invalid distance metric: $distance_metric_str")
    end

-    timeseries(::Nothing; null_val=nothing) = repeat([null_val], time_horizon)
-    timeseries(x::Number; null_val=nothing) = repeat([x], time_horizon)
-    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)
+    timeseries(x::Union{Nothing,Number}) = repeat([x], time_horizon)
+    timeseries(x::Array) = x
+    timeseries(d::OrderedDict) = OrderedDict(k => timeseries(v) for (k, v) in d)

    # Read products
    products = Product[]
@ -32,8 +31,7 @@ function parse(json)::Instance
        tr_cost = timeseries(pdict["transportation cost (\$/km/tonne)"])
        tr_energy = timeseries(pdict["transportation energy (J/km/tonne)"])
        tr_emissions = timeseries(pdict["transportation emissions (tonne/km/tonne)"])
-        disposal_limit = timeseries(pdict["disposal limit (tonne)"], null_val=Inf)
-        prod = Product(; name, tr_cost, tr_energy, tr_emissions, disposal_limit)
+        prod = Product(; name, tr_cost, tr_energy, tr_emissions)
        push!(products, prod)
        products_by_name[name] = prod
    end
@ -53,7 +51,7 @@ function parse(json)::Instance
        outputs = [products_by_name[p] for p in cdict["outputs"]]
        operating_cost = timeseries(cdict["operating cost (\$)"])
        prod_dict(key, null_val) = OrderedDict(
-            p => timeseries(cdict[key][p.name]; null_val)
+            p => [v === nothing ? null_val : v for v in timeseries(cdict[key][p.name])]
            for p in outputs
        )
        fixed_output = prod_dict("fixed output (tonne)", 0.0)
--- a/src/instance/structs.jl
+++ b/src/instance/structs.jl
@ -14,7 +14,6 @@ Base.@kwdef struct Product
    tr_cost::Vector{Float64}
    tr_energy::Vector{Float64}
    tr_emissions::OrderedDict{String,Vector{Float64}}
-    disposal_limit::Vector{Float64}
 end

 Base.@kwdef struct Center
--- a/src/model/build.jl
+++ b/src/model/build.jl
@ -298,18 +298,6 @@ function build_model(instance::Instance; optimizer, variable_names::Bool = false
            @constraint(model, z_disp[c.name, m.name, t] <= c.disposal_limit[m][t])
    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
        _set_names!(model)
    end
--- a/src/reports/centers.jl
+++ b/src/reports/centers.jl
@ -8,8 +8,6 @@ using CSV
 function centers_report(model)::DataFrame
    df = DataFrame()
    df."center" = String[]
-    df."latitude" = Float64[]
-    df."longitude" = Float64[]
    df."year" = Int[]
    df."input product" = String[]
    df."input amount (tonne)" = Float64[]
@ -33,16 +31,14 @@ function centers_report(model)::DataFrame
        end
        push!(
            df,
-            Dict(
-                "center" => c.name,
-                "latitude" => c.latitude,
-                "longitude" => c.longitude,
-                "year" => t,
-                "input product" => input_name,
-                "input amount (tonne)" => _round(input),
-                "revenue (\$)" => _round(revenue),
-                "operating cost (\$)" => _round(c.operating_cost[t]),
-            ),
+            [
+                c.name,
+                t,
+                input_name,
+                _round(input),
+                _round(revenue),
+                _round(c.operating_cost[t]),
+            ],
        )
    end
    return df
@ -51,13 +47,10 @@ end
 function center_outputs_report(model)::DataFrame
    df = DataFrame()
    df."center" = String[]
-    df."latitude" = Float64[]
-    df."longitude" = Float64[]
    df."output product" = String[]
    df."year" = Int[]
    df."amount collected (tonne)" = Float64[]
    df."amount disposed (tonne)" = Float64[]
-    df."disposal limit (tonne)" = Float64[]
    df."collection cost (\$)" = Float64[]
    df."disposal cost (\$)" = Float64[]

@ -79,18 +72,15 @@ function center_outputs_report(model)::DataFrame
        end
        push!(
            df,
-            Dict(
-                "center" => c.name,
-                "latitude" => c.latitude,
-                "longitude" => c.longitude,
-                "output product" => m.name,
-                "year" => t,
-                "amount collected (tonne)" => _round(collected),
-                "amount disposed (tonne)" => _round(disposed),
-                "disposal limit (tonne)" => _round(c.disposal_limit[m][t]),
-                "collection cost (\$)" => _round(collection_cost),
-                "disposal cost (\$)" => _round(disposal_cost),
-            ),
+            [
+                c.name,
+                m.name,
+                t,
+                _round(collected),
+                _round(disposed),
+                _round(collection_cost),
+                _round(disposal_cost),
+            ],
        )
    end
    return df
--- a/src/reports/plants.jl
+++ b/src/reports/plants.jl
@ -8,10 +8,6 @@ using CSV
 function plants_report(model)::DataFrame
    df = DataFrame()
    df."plant" = String[]
-    df."latitude" = Float64[]
-    df."longitude" = Float64[]
-    df."initial capacity" = Float64[]
-    df."current capacity" = Float64[]
    df."year" = Int[]
    df."operational?" = Bool[]
    df."input amount (tonne)" = Float64[]
@ -25,36 +21,23 @@ function plants_report(model)::DataFrame
    for p in plants, t in T
        operational = JuMP.value(model[:x][p.name, t]) > 0.5
        input = value(model[:z_input][p.name, t])
-
-        # Opening cost
        opening_cost = 0
        if value(model[:x][p.name, t]) > 0.5 && value(model[:x][p.name, t-1]) < 0.5
            opening_cost = p.capacities[1].opening_cost[t]
        end
-
-        # 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)
        var_operating_cost = input * p.capacities[1].var_operating_cost[t]
        push!(
            df,
-            Dict(
-                "plant" => p.name,
-                "latitude" => p.latitude,
-                "longitude" => p.longitude,
-                "initial capacity" => p.initial_capacity,
-                "current capacity" => curr_capacity,
-                "year" => t,
-                "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),
-            ),
+            [
+                p.name,
+                t,
+                operational,
+                _round(input),
+                _round(opening_cost),
+                _round(fix_operating_cost),
+                _round(var_operating_cost),
+            ],
        )
    end
    return df
@ -63,13 +46,10 @@ end
 function plant_outputs_report(model)::DataFrame
    df = DataFrame()
    df."plant" = String[]
-    df."latitude" = Float64[]
-    df."longitude" = Float64[]
    df."output product" = String[]
    df."year" = Int[]
    df."amount produced (tonne)" = Float64[]
    df."amount disposed (tonne)" = Float64[]
-    df."disposal limit (tonne)" = Float64[]
    df."disposal cost (\$)" = Float64[]

    plants = model.ext[:instance].plants
@ -81,17 +61,7 @@ function plant_outputs_report(model)::DataFrame
        disposal_cost = p.disposal_cost[m][t] * disposed
        push!(
            df,
-            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),
-            ),
+            [p.name, m.name, t, _round(produced), _round(disposed), _round(disposal_cost)],
        )
    end
    return df
--- a/src/reports/transportation.jl
+++ b/src/reports/transportation.jl
@ -36,17 +36,17 @@ function transportation_report(model)::DataFrame
        end
        push!(
            df,
-            Dict(
-                "source" => p1.name,
-                "destination" => p2.name,
-                "product" => m.name,
-                "year" => t,
-                "amount sent (tonne)" => _round(amount),
-                "distance (km)" => _round(distance),
-                "transportation cost (\$)" => _round(tr_cost),
-                "center revenue (\$)" => _round(revenue),
-                "center collection cost (\$)" => _round(collection_cost),
-            ),
+            [
+                p1.name,
+                p2.name,
+                m.name,
+                t,
+                _round(amount),
+                _round(distance),
+                _round(tr_cost),
+                _round(revenue),
+                _round(collection_cost),
+            ],
        )
    end
    return df
--- a/test/fixtures/boat_example.jl
+++ b/test/fixtures/boat_example.jl
@ -69,7 +69,6 @@ function run_boat_example()
        "transportation cost (\$/km/tonne)" => 0.30,
        "transportation energy (J/km/tonne)" => 7_500,
        "transportation emissions (tonne/km/tonne)" => dict("CO2" => 2.68),
-        "disposal limit (tonne)" => nothing,
    )

    boat_factory = dict(
@ -122,8 +121,10 @@ function run_boat_example()
        "initial capacity (tonne)" => 0,
    )

-    lat_lon_dict(city_location) =
-        dict("latitude (deg)" => city_location[1], "longitude (deg)" => city_location[2])
+    lat_lon_dict(city_location) = dict(
+        "latitude (deg)" => city_location[1],
+        "longitude (deg)" => city_location[2],
+    )

    data = dict(
        "parameters" => parameters,
@ -131,29 +132,36 @@ function run_boat_example()
            dict("Nail" => prod, "Wood" => prod, "NewBoat" => prod, "UsedBoat" => prod),
        "centers" => merge(
            dict(
-                "NailFactory ($city_name)" =>
-                    merge(nail_factory, lat_lon_dict(city_location)) for
-                (city_name, city_location) in cities_b
+                "NailFactory ($city_name)" => merge(
+                    nail_factory,
+                    lat_lon_dict(city_location)
+                ) for (city_name, city_location) in cities_b
            ),
            dict(
-                "Forest ($city_name)" => merge(forest, lat_lon_dict(city_location))
-                for (city_name, city_location) in cities_b
+                "Forest ($city_name)" => merge(
+                    forest,
+                    lat_lon_dict(city_location)
+                ) for (city_name, city_location) in cities_b
            ),
            dict(
-                "Retail ($city_name)" => merge(retail, lat_lon_dict(city_location))
-                for (city_name, city_location) in cities_a
+                "Retail ($city_name)" => merge(
+                    retail,
+                    lat_lon_dict(city_location)
+                ) for (city_name, city_location) in cities_a
            ),
        ),
        "plants" => merge(
            dict(
-                "BoatFactory ($city_name)" =>
-                    merge(boat_factory, lat_lon_dict(city_location)) for
-                (city_name, city_location) in cities_a
+                "BoatFactory ($city_name)" => merge(
+                    boat_factory,
+                    lat_lon_dict(city_location)
+                ) for (city_name, city_location) in cities_a
            ),
            dict(
-                "RecyclingPlant ($city_name)" =>
-                    merge(recycling_plant, lat_lon_dict(city_location)) for
-                (city_name, city_location) in cities_a
+                "RecyclingPlant ($city_name)" => merge(
+                    recycling_plant,
+                    lat_lon_dict(city_location)
+                ) for (city_name, city_location) in cities_a
            ),
        ),
    )
--- a/test/fixtures/boat_example.json
+++ b/test/fixtures/boat_example.json
@ -12,32 +12,28 @@
      "transportation energy (J/km/tonne)": 7500,
      "transportation emissions (tonne/km/tonne)": {
        "CO2": 2.68
-      },
-      "disposal limit (tonne)": null
+      }
    },
    "Wood": {
      "transportation cost ($/km/tonne)": 0.3,
      "transportation energy (J/km/tonne)": 7500,
      "transportation emissions (tonne/km/tonne)": {
        "CO2": 2.68
-      },
-      "disposal limit (tonne)": null
+      }
    },
    "NewBoat": {
      "transportation cost ($/km/tonne)": 0.3,
      "transportation energy (J/km/tonne)": 7500,
      "transportation emissions (tonne/km/tonne)": {
        "CO2": 2.68
-      },
-      "disposal limit (tonne)": null
+      }
    },
    "UsedBoat": {
      "transportation cost ($/km/tonne)": 0.3,
      "transportation energy (J/km/tonne)": 7500,
      "transportation emissions (tonne/km/tonne)": {
        "CO2": 2.68
-      },
-      "disposal limit (tonne)": null
+      }
    }
  },
  "centers": {
--- a/test/fixtures/boat_example/center_outputs.csv
+++ b/test/fixtures/boat_example/center_outputs.csv
@ -1,81 +1,81 @@
-center,latitude,longitude,output product,year,amount collected (tonne),amount disposed (tonne),disposal limit (tonne),collection cost ($),disposal cost ($)
-NailFactory (Chicago),41.881832,-87.623177,Nail,1,1.0,0.0,Inf,1000.0,0.0
-NailFactory (Chicago),41.881832,-87.623177,Nail,2,1.0,0.0,Inf,1000.0,0.0
-NailFactory (Chicago),41.881832,-87.623177,Nail,3,1.0,0.0,Inf,1000.0,0.0
-NailFactory (Chicago),41.881832,-87.623177,Nail,4,1.0,0.0,Inf,1000.0,0.0
-NailFactory (Chicago),41.881832,-87.623177,Nail,5,1.0,0.0,Inf,1000.0,0.0
-NailFactory (Phoenix),33.448376,-112.074036,Nail,1,1.0,0.0,Inf,1000.0,0.0
-NailFactory (Phoenix),33.448376,-112.074036,Nail,2,1.0,0.0,Inf,1000.0,0.0
-NailFactory (Phoenix),33.448376,-112.074036,Nail,3,1.0,0.0,Inf,1000.0,0.0
-NailFactory (Phoenix),33.448376,-112.074036,Nail,4,1.0,0.0,Inf,1000.0,0.0
-NailFactory (Phoenix),33.448376,-112.074036,Nail,5,1.0,0.0,Inf,1000.0,0.0
-NailFactory (Dallas),32.776664,-96.796988,Nail,1,1.0,0.0,Inf,1000.0,0.0
-NailFactory (Dallas),32.776664,-96.796988,Nail,2,1.0,-0.0,Inf,1000.0,-0.0
-NailFactory (Dallas),32.776664,-96.796988,Nail,3,1.0,0.0,Inf,1000.0,0.0
-NailFactory (Dallas),32.776664,-96.796988,Nail,4,1.0,-0.0,Inf,1000.0,-0.0
-NailFactory (Dallas),32.776664,-96.796988,Nail,5,1.0,-0.0,Inf,1000.0,-0.0
-Forest (Chicago),41.881832,-87.623177,Wood,1,100.0,100.0,Inf,0.0,0.0
-Forest (Chicago),41.881832,-87.623177,Wood,2,100.0,100.0,Inf,0.0,0.0
-Forest (Chicago),41.881832,-87.623177,Wood,3,100.0,100.0,Inf,0.0,0.0
-Forest (Chicago),41.881832,-87.623177,Wood,4,100.0,100.0,Inf,0.0,0.0
-Forest (Chicago),41.881832,-87.623177,Wood,5,100.0,100.0,Inf,0.0,0.0
-Forest (Phoenix),33.448376,-112.074036,Wood,1,100.0,100.0,Inf,0.0,0.0
-Forest (Phoenix),33.448376,-112.074036,Wood,2,100.0,100.0,Inf,0.0,0.0
-Forest (Phoenix),33.448376,-112.074036,Wood,3,100.0,100.0,Inf,0.0,0.0
-Forest (Phoenix),33.448376,-112.074036,Wood,4,100.0,100.0,Inf,0.0,0.0
-Forest (Phoenix),33.448376,-112.074036,Wood,5,100.0,100.0,Inf,0.0,0.0
-Forest (Dallas),32.776664,-96.796988,Wood,1,100.0,43.0,Inf,14250.0,0.0
-Forest (Dallas),32.776664,-96.796988,Wood,2,100.0,43.0,Inf,14250.0,0.0
-Forest (Dallas),32.776664,-96.796988,Wood,3,100.0,43.0,Inf,14250.0,0.0
-Forest (Dallas),32.776664,-96.796988,Wood,4,100.0,43.0,Inf,14250.0,0.0
-Forest (Dallas),32.776664,-96.796988,Wood,5,100.0,43.0,Inf,14250.0,0.0
-Retail (Chicago),41.881832,-87.623177,UsedBoat,1,0.0,0.0,0.0,0.0,0.0
-Retail (Chicago),41.881832,-87.623177,UsedBoat,2,0.0,0.0,0.0,0.0,0.0
-Retail (Chicago),41.881832,-87.623177,UsedBoat,3,0.0,0.0,0.0,0.0,0.0
-Retail (Chicago),41.881832,-87.623177,UsedBoat,4,0.0,0.0,0.0,0.0,0.0
-Retail (Chicago),41.881832,-87.623177,UsedBoat,5,0.0,0.0,0.0,0.0,0.0
-Retail (New York City),40.712776,-74.005974,UsedBoat,1,0.0,0.0,0.0,0.0,0.0
-Retail (New York City),40.712776,-74.005974,UsedBoat,2,0.0,0.0,0.0,0.0,0.0
-Retail (New York City),40.712776,-74.005974,UsedBoat,3,0.0,0.0,0.0,0.0,0.0
-Retail (New York City),40.712776,-74.005974,UsedBoat,4,0.0,0.0,0.0,0.0,0.0
-Retail (New York City),40.712776,-74.005974,UsedBoat,5,0.0,0.0,0.0,0.0,0.0
-Retail (Los Angeles),34.052235,-118.243683,UsedBoat,1,0.0,0.0,0.0,0.0,0.0
-Retail (Los Angeles),34.052235,-118.243683,UsedBoat,2,0.0,0.0,0.0,0.0,0.0
-Retail (Los Angeles),34.052235,-118.243683,UsedBoat,3,0.0,0.0,0.0,0.0,0.0
-Retail (Los Angeles),34.052235,-118.243683,UsedBoat,4,0.0,0.0,0.0,0.0,0.0
-Retail (Los Angeles),34.052235,-118.243683,UsedBoat,5,-0.0,0.0,0.0,-0.0,0.0
-Retail (Houston),29.760427,-95.369804,UsedBoat,1,0.0,0.0,0.0,0.0,0.0
-Retail (Houston),29.760427,-95.369804,UsedBoat,2,0.0,0.0,0.0,0.0,0.0
-Retail (Houston),29.760427,-95.369804,UsedBoat,3,0.0,0.0,0.0,0.0,0.0
-Retail (Houston),29.760427,-95.369804,UsedBoat,4,0.0,0.0,0.0,0.0,0.0
-Retail (Houston),29.760427,-95.369804,UsedBoat,5,-0.0,0.0,0.0,-0.0,0.0
-Retail (Phoenix),33.448376,-112.074036,UsedBoat,1,0.0,0.0,0.0,0.0,0.0
-Retail (Phoenix),33.448376,-112.074036,UsedBoat,2,0.0,0.0,0.0,0.0,0.0
-Retail (Phoenix),33.448376,-112.074036,UsedBoat,3,0.0,0.0,0.0,0.0,0.0
-Retail (Phoenix),33.448376,-112.074036,UsedBoat,4,-0.0,0.0,0.0,-0.0,0.0
-Retail (Phoenix),33.448376,-112.074036,UsedBoat,5,-0.0,0.0,0.0,-0.0,0.0
-Retail (Philadelphia),39.952583,-75.165222,UsedBoat,1,0.0,0.0,0.0,0.0,0.0
-Retail (Philadelphia),39.952583,-75.165222,UsedBoat,2,0.0,0.0,0.0,0.0,0.0
-Retail (Philadelphia),39.952583,-75.165222,UsedBoat,3,0.0,0.0,0.0,0.0,0.0
-Retail (Philadelphia),39.952583,-75.165222,UsedBoat,4,0.0,0.0,0.0,0.0,0.0
-Retail (Philadelphia),39.952583,-75.165222,UsedBoat,5,0.0,0.0,0.0,0.0,0.0
-Retail (San Antonio),29.424122,-98.493629,UsedBoat,1,0.0,0.0,0.0,0.0,0.0
-Retail (San Antonio),29.424122,-98.493629,UsedBoat,2,0.0,0.0,0.0,0.0,0.0
-Retail (San Antonio),29.424122,-98.493629,UsedBoat,3,0.0,0.0,0.0,0.0,0.0
-Retail (San Antonio),29.424122,-98.493629,UsedBoat,4,0.0,0.0,0.0,0.0,0.0
-Retail (San Antonio),29.424122,-98.493629,UsedBoat,5,0.0,0.0,0.0,0.0,0.0
-Retail (San Diego),32.715736,-117.161087,UsedBoat,1,0.0,0.0,0.0,0.0,0.0
-Retail (San Diego),32.715736,-117.161087,UsedBoat,2,0.0,0.0,0.0,0.0,0.0
-Retail (San Diego),32.715736,-117.161087,UsedBoat,3,0.0,0.0,0.0,0.0,0.0
-Retail (San Diego),32.715736,-117.161087,UsedBoat,4,0.0,0.0,0.0,0.0,0.0
-Retail (San Diego),32.715736,-117.161087,UsedBoat,5,0.0,0.0,0.0,0.0,0.0
-Retail (Dallas),32.776664,-96.796988,UsedBoat,1,6.31579,0.0,0.0,631.57895,0.0
-Retail (Dallas),32.776664,-96.796988,UsedBoat,2,22.93629,0.0,0.0,2293.62881,0.0
-Retail (Dallas),32.776664,-96.796988,UsedBoat,3,31.7714,0.0,0.0,3177.13952,0.0
-Retail (Dallas),32.776664,-96.796988,UsedBoat,4,33.80867,0.0,0.0,3380.86724,0.0
-Retail (Dallas),32.776664,-96.796988,UsedBoat,5,34.54174,0.0,0.0,3454.17409,0.0
-Retail (San Jose),37.338208,-121.886329,UsedBoat,1,0.0,0.0,0.0,0.0,0.0
-Retail (San Jose),37.338208,-121.886329,UsedBoat,2,0.0,0.0,0.0,0.0,0.0
-Retail (San Jose),37.338208,-121.886329,UsedBoat,3,0.0,0.0,0.0,0.0,0.0
-Retail (San Jose),37.338208,-121.886329,UsedBoat,4,0.0,0.0,0.0,0.0,0.0
-Retail (San Jose),37.338208,-121.886329,UsedBoat,5,0.0,0.0,0.0,0.0,0.0
+center,output product,year,amount collected (tonne),amount disposed (tonne),collection cost ($),disposal cost ($)
+NailFactory (Chicago),Nail,1,1.0,0.0,1000.0,0.0
+NailFactory (Chicago),Nail,2,1.0,0.0,1000.0,0.0
+NailFactory (Chicago),Nail,3,1.0,-0.0,1000.0,-0.0
+NailFactory (Chicago),Nail,4,1.0,0.0,1000.0,0.0
+NailFactory (Chicago),Nail,5,1.0,0.0,1000.0,0.0
+NailFactory (Phoenix),Nail,1,1.0,0.0,1000.0,0.0
+NailFactory (Phoenix),Nail,2,1.0,0.0,1000.0,0.0
+NailFactory (Phoenix),Nail,3,1.0,0.0,1000.0,0.0
+NailFactory (Phoenix),Nail,4,1.0,0.0,1000.0,0.0
+NailFactory (Phoenix),Nail,5,1.0,0.0,1000.0,0.0
+NailFactory (Dallas),Nail,1,1.0,-0.0,1000.0,-0.0
+NailFactory (Dallas),Nail,2,1.0,-0.0,1000.0,-0.0
+NailFactory (Dallas),Nail,3,1.0,-0.0,1000.0,-0.0
+NailFactory (Dallas),Nail,4,1.0,0.0,1000.0,0.0
+NailFactory (Dallas),Nail,5,1.0,0.0,1000.0,0.0
+Forest (Chicago),Wood,1,100.0,100.0,0.0,0.0
+Forest (Chicago),Wood,2,100.0,100.0,0.0,0.0
+Forest (Chicago),Wood,3,100.0,100.0,0.0,0.0
+Forest (Chicago),Wood,4,100.0,100.0,0.0,0.0
+Forest (Chicago),Wood,5,100.0,100.0,0.0,0.0
+Forest (Phoenix),Wood,1,100.0,100.0,0.0,0.0
+Forest (Phoenix),Wood,2,100.0,100.0,0.0,0.0
+Forest (Phoenix),Wood,3,100.0,100.0,0.0,0.0
+Forest (Phoenix),Wood,4,100.0,100.0,0.0,0.0
+Forest (Phoenix),Wood,5,100.0,100.0,0.0,0.0
+Forest (Dallas),Wood,1,100.0,43.0,14250.0,0.0
+Forest (Dallas),Wood,2,100.0,43.0,14250.0,0.0
+Forest (Dallas),Wood,3,100.0,43.0,14250.0,0.0
+Forest (Dallas),Wood,4,100.0,43.0,14250.0,0.0
+Forest (Dallas),Wood,5,100.0,43.0,14250.0,0.0
+Retail (Chicago),UsedBoat,1,0.0,0.0,0.0,0.0
+Retail (Chicago),UsedBoat,2,0.0,0.0,0.0,0.0
+Retail (Chicago),UsedBoat,3,0.0,0.0,0.0,0.0
+Retail (Chicago),UsedBoat,4,0.0,0.0,0.0,0.0
+Retail (Chicago),UsedBoat,5,0.0,0.0,0.0,0.0
+Retail (New York City),UsedBoat,1,0.0,0.0,0.0,0.0
+Retail (New York City),UsedBoat,2,0.0,0.0,0.0,0.0
+Retail (New York City),UsedBoat,3,0.0,0.0,0.0,0.0
+Retail (New York City),UsedBoat,4,0.0,0.0,0.0,0.0
+Retail (New York City),UsedBoat,5,0.0,0.0,0.0,0.0
+Retail (Los Angeles),UsedBoat,1,0.0,0.0,0.0,0.0
+Retail (Los Angeles),UsedBoat,2,0.0,0.0,0.0,0.0
+Retail (Los Angeles),UsedBoat,3,0.0,0.0,0.0,0.0
+Retail (Los Angeles),UsedBoat,4,0.0,0.0,0.0,0.0
+Retail (Los Angeles),UsedBoat,5,0.0,0.0,0.0,0.0
+Retail (Houston),UsedBoat,1,0.0,0.0,0.0,0.0
+Retail (Houston),UsedBoat,2,0.0,0.0,0.0,0.0
+Retail (Houston),UsedBoat,3,0.0,0.0,0.0,0.0
+Retail (Houston),UsedBoat,4,0.0,0.0,0.0,0.0
+Retail (Houston),UsedBoat,5,0.0,0.0,0.0,0.0
+Retail (Phoenix),UsedBoat,1,0.0,0.0,0.0,0.0
+Retail (Phoenix),UsedBoat,2,0.0,0.0,0.0,0.0
+Retail (Phoenix),UsedBoat,3,0.0,0.0,0.0,0.0
+Retail (Phoenix),UsedBoat,4,0.0,0.0,0.0,0.0
+Retail (Phoenix),UsedBoat,5,0.0,0.0,0.0,0.0
+Retail (Philadelphia),UsedBoat,1,0.0,0.0,0.0,0.0
+Retail (Philadelphia),UsedBoat,2,0.0,0.0,0.0,0.0
+Retail (Philadelphia),UsedBoat,3,0.0,0.0,0.0,0.0
+Retail (Philadelphia),UsedBoat,4,0.0,0.0,0.0,0.0
+Retail (Philadelphia),UsedBoat,5,0.0,0.0,0.0,0.0
+Retail (San Antonio),UsedBoat,1,0.0,0.0,0.0,0.0
+Retail (San Antonio),UsedBoat,2,0.0,0.0,0.0,0.0
+Retail (San Antonio),UsedBoat,3,0.0,0.0,0.0,0.0
+Retail (San Antonio),UsedBoat,4,0.0,0.0,0.0,0.0
+Retail (San Antonio),UsedBoat,5,0.0,0.0,0.0,0.0
+Retail (San Diego),UsedBoat,1,0.0,0.0,0.0,0.0
+Retail (San Diego),UsedBoat,2,0.0,0.0,0.0,0.0
+Retail (San Diego),UsedBoat,3,0.0,0.0,0.0,0.0
+Retail (San Diego),UsedBoat,4,0.0,0.0,0.0,0.0
+Retail (San Diego),UsedBoat,5,0.0,0.0,0.0,0.0
+Retail (Dallas),UsedBoat,1,6.31579,0.0,631.57895,0.0
+Retail (Dallas),UsedBoat,2,22.93629,0.0,2293.62881,0.0
+Retail (Dallas),UsedBoat,3,31.7714,0.0,3177.13952,0.0
+Retail (Dallas),UsedBoat,4,33.80867,0.0,3380.86724,0.0
+Retail (Dallas),UsedBoat,5,34.54174,0.0,3454.17409,0.0
+Retail (San Jose),UsedBoat,1,0.0,0.0,0.0,0.0
+Retail (San Jose),UsedBoat,2,0.0,0.0,0.0,0.0
+Retail (San Jose),UsedBoat,3,0.0,0.0,0.0,0.0
+Retail (San Jose),UsedBoat,4,0.0,0.0,0.0,0.0
+Retail (San Jose),UsedBoat,5,0.0,0.0,0.0,0.0
--- a/test/fixtures/boat_example/centers.csv
+++ b/test/fixtures/boat_example/centers.csv
@ -1,81 +1,81 @@
-center,latitude,longitude,year,input product,input amount (tonne),revenue ($),operating cost ($)
-NailFactory (Chicago),41.881832,-87.623177,1,,0.0,0.0,0.0
-NailFactory (Chicago),41.881832,-87.623177,2,,0.0,0.0,0.0
-NailFactory (Chicago),41.881832,-87.623177,3,,0.0,0.0,0.0
-NailFactory (Chicago),41.881832,-87.623177,4,,0.0,0.0,0.0
-NailFactory (Chicago),41.881832,-87.623177,5,,0.0,0.0,0.0
-NailFactory (Phoenix),33.448376,-112.074036,1,,0.0,0.0,0.0
-NailFactory (Phoenix),33.448376,-112.074036,2,,0.0,0.0,0.0
-NailFactory (Phoenix),33.448376,-112.074036,3,,0.0,0.0,0.0
-NailFactory (Phoenix),33.448376,-112.074036,4,,0.0,0.0,0.0
-NailFactory (Phoenix),33.448376,-112.074036,5,,0.0,0.0,0.0
-NailFactory (Dallas),32.776664,-96.796988,1,,0.0,0.0,0.0
-NailFactory (Dallas),32.776664,-96.796988,2,,0.0,0.0,0.0
-NailFactory (Dallas),32.776664,-96.796988,3,,0.0,0.0,0.0
-NailFactory (Dallas),32.776664,-96.796988,4,,0.0,0.0,0.0
-NailFactory (Dallas),32.776664,-96.796988,5,,0.0,0.0,0.0
-Forest (Chicago),41.881832,-87.623177,1,,0.0,0.0,0.0
-Forest (Chicago),41.881832,-87.623177,2,,0.0,0.0,0.0
-Forest (Chicago),41.881832,-87.623177,3,,0.0,0.0,0.0
-Forest (Chicago),41.881832,-87.623177,4,,0.0,0.0,0.0
-Forest (Chicago),41.881832,-87.623177,5,,0.0,0.0,0.0
-Forest (Phoenix),33.448376,-112.074036,1,,0.0,0.0,0.0
-Forest (Phoenix),33.448376,-112.074036,2,,0.0,0.0,0.0
-Forest (Phoenix),33.448376,-112.074036,3,,0.0,0.0,0.0
-Forest (Phoenix),33.448376,-112.074036,4,,0.0,0.0,0.0
-Forest (Phoenix),33.448376,-112.074036,5,,0.0,0.0,0.0
-Forest (Dallas),32.776664,-96.796988,1,,0.0,0.0,0.0
-Forest (Dallas),32.776664,-96.796988,2,,0.0,0.0,0.0
-Forest (Dallas),32.776664,-96.796988,3,,0.0,0.0,0.0
-Forest (Dallas),32.776664,-96.796988,4,,0.0,0.0,0.0
-Forest (Dallas),32.776664,-96.796988,5,,0.0,0.0,0.0
-Retail (Chicago),41.881832,-87.623177,1,NewBoat,0.0,0.0,125000.0
-Retail (Chicago),41.881832,-87.623177,2,NewBoat,0.0,0.0,125000.0
-Retail (Chicago),41.881832,-87.623177,3,NewBoat,0.0,0.0,125000.0
-Retail (Chicago),41.881832,-87.623177,4,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),40.712776,-74.005974,1,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),40.712776,-74.005974,3,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),40.712776,-74.005974,5,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),34.052235,-118.243683,2,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),34.052235,-118.243683,4,NewBoat,0.0,0.0,125000.0
-Retail (Los Angeles),34.052235,-118.243683,5,NewBoat,-0.0,0.0,125000.0
-Retail (Houston),29.760427,-95.369804,1,NewBoat,0.0,0.0,125000.0
-Retail (Houston),29.760427,-95.369804,2,NewBoat,0.0,0.0,125000.0
-Retail (Houston),29.760427,-95.369804,3,NewBoat,0.0,0.0,125000.0
-Retail (Houston),29.760427,-95.369804,4,NewBoat,0.0,0.0,125000.0
-Retail (Houston),29.760427,-95.369804,5,NewBoat,-0.0,0.0,125000.0
-Retail (Phoenix),33.448376,-112.074036,1,NewBoat,0.0,0.0,125000.0
-Retail (Phoenix),33.448376,-112.074036,2,NewBoat,0.0,0.0,125000.0
-Retail (Phoenix),33.448376,-112.074036,3,NewBoat,0.0,0.0,125000.0
-Retail (Phoenix),33.448376,-112.074036,4,NewBoat,-0.0,-0.0,125000.0
-Retail (Phoenix),33.448376,-112.074036,5,NewBoat,0.0,0.0,125000.0
-Retail (Philadelphia),39.952583,-75.165222,1,NewBoat,0.0,0.0,125000.0
-Retail (Philadelphia),39.952583,-75.165222,2,NewBoat,0.0,0.0,125000.0
-Retail (Philadelphia),39.952583,-75.165222,3,NewBoat,0.0,0.0,125000.0
-Retail (Philadelphia),39.952583,-75.165222,4,NewBoat,0.0,0.0,125000.0
-Retail (Philadelphia),39.952583,-75.165222,5,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),29.424122,-98.493629,2,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),29.424122,-98.493629,4,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),32.715736,-117.161087,1,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),32.715736,-117.161087,3,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),32.715736,-117.161087,5,NewBoat,0.0,0.0,125000.0
-Retail (Dallas),32.776664,-96.796988,1,NewBoat,63.15789,757894.73684,125000.0
-Retail (Dallas),32.776664,-96.796988,2,NewBoat,71.46814,857617.72853,125000.0
-Retail (Dallas),32.776664,-96.796988,3,NewBoat,75.8857,910628.37148,125000.0
-Retail (Dallas),32.776664,-96.796988,4,NewBoat,76.90434,922852.03459,125000.0
-Retail (Dallas),32.776664,-96.796988,5,NewBoat,77.27087,927250.44516,125000.0
-Retail (San Jose),37.338208,-121.886329,1,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),37.338208,-121.886329,3,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),37.338208,-121.886329,5,NewBoat,0.0,0.0,125000.0
+center,year,input product,input amount (tonne),revenue ($),operating cost ($)
+NailFactory (Chicago),1,,0.0,0.0,0.0
+NailFactory (Chicago),2,,0.0,0.0,0.0
+NailFactory (Chicago),3,,0.0,0.0,0.0
+NailFactory (Chicago),4,,0.0,0.0,0.0
+NailFactory (Chicago),5,,0.0,0.0,0.0
+NailFactory (Phoenix),1,,0.0,0.0,0.0
+NailFactory (Phoenix),2,,0.0,0.0,0.0
+NailFactory (Phoenix),3,,0.0,0.0,0.0
+NailFactory (Phoenix),4,,0.0,0.0,0.0
+NailFactory (Phoenix),5,,0.0,0.0,0.0
+NailFactory (Dallas),1,,0.0,0.0,0.0
+NailFactory (Dallas),2,,0.0,0.0,0.0
+NailFactory (Dallas),3,,0.0,0.0,0.0
+NailFactory (Dallas),4,,0.0,0.0,0.0
+NailFactory (Dallas),5,,0.0,0.0,0.0
+Forest (Chicago),1,,0.0,0.0,0.0
+Forest (Chicago),2,,0.0,0.0,0.0
+Forest (Chicago),3,,0.0,0.0,0.0
+Forest (Chicago),4,,0.0,0.0,0.0
+Forest (Chicago),5,,0.0,0.0,0.0
+Forest (Phoenix),1,,0.0,0.0,0.0
+Forest (Phoenix),2,,0.0,0.0,0.0
+Forest (Phoenix),3,,0.0,0.0,0.0
+Forest (Phoenix),4,,0.0,0.0,0.0
+Forest (Phoenix),5,,0.0,0.0,0.0
+Forest (Dallas),1,,0.0,0.0,0.0
+Forest (Dallas),2,,0.0,0.0,0.0
+Forest (Dallas),3,,0.0,0.0,0.0
+Forest (Dallas),4,,0.0,0.0,0.0
+Forest (Dallas),5,,0.0,0.0,0.0
+Retail (Chicago),1,NewBoat,0.0,0.0,125000.0
+Retail (Chicago),2,NewBoat,0.0,0.0,125000.0
+Retail (Chicago),3,NewBoat,0.0,0.0,125000.0
+Retail (Chicago),4,NewBoat,0.0,0.0,125000.0
+Retail (Chicago),5,NewBoat,0.0,0.0,125000.0
+Retail (New York City),1,NewBoat,0.0,0.0,125000.0
+Retail (New York City),2,NewBoat,0.0,0.0,125000.0
+Retail (New York City),3,NewBoat,0.0,0.0,125000.0
+Retail (New York City),4,NewBoat,0.0,0.0,125000.0
+Retail (New York City),5,NewBoat,0.0,0.0,125000.0
+Retail (Los Angeles),1,NewBoat,0.0,0.0,125000.0
+Retail (Los Angeles),2,NewBoat,0.0,0.0,125000.0
+Retail (Los Angeles),3,NewBoat,0.0,0.0,125000.0
+Retail (Los Angeles),4,NewBoat,0.0,0.0,125000.0
+Retail (Los Angeles),5,NewBoat,0.0,0.0,125000.0
+Retail (Houston),1,NewBoat,0.0,0.0,125000.0
+Retail (Houston),2,NewBoat,0.0,0.0,125000.0
+Retail (Houston),3,NewBoat,0.0,0.0,125000.0
+Retail (Houston),4,NewBoat,0.0,0.0,125000.0
+Retail (Houston),5,NewBoat,0.0,0.0,125000.0
+Retail (Phoenix),1,NewBoat,0.0,0.0,125000.0
+Retail (Phoenix),2,NewBoat,0.0,0.0,125000.0
+Retail (Phoenix),3,NewBoat,0.0,0.0,125000.0
+Retail (Phoenix),4,NewBoat,0.0,0.0,125000.0
+Retail (Phoenix),5,NewBoat,0.0,0.0,125000.0
+Retail (Philadelphia),1,NewBoat,0.0,0.0,125000.0
+Retail (Philadelphia),2,NewBoat,0.0,0.0,125000.0
+Retail (Philadelphia),3,NewBoat,0.0,0.0,125000.0
+Retail (Philadelphia),4,NewBoat,0.0,0.0,125000.0
+Retail (Philadelphia),5,NewBoat,0.0,0.0,125000.0
+Retail (San Antonio),1,NewBoat,0.0,0.0,125000.0
+Retail (San Antonio),2,NewBoat,0.0,0.0,125000.0
+Retail (San Antonio),3,NewBoat,0.0,0.0,125000.0
+Retail (San Antonio),4,NewBoat,0.0,0.0,125000.0
+Retail (San Antonio),5,NewBoat,0.0,0.0,125000.0
+Retail (San Diego),1,NewBoat,0.0,0.0,125000.0
+Retail (San Diego),2,NewBoat,0.0,0.0,125000.0
+Retail (San Diego),3,NewBoat,0.0,0.0,125000.0
+Retail (San Diego),4,NewBoat,0.0,0.0,125000.0
+Retail (San Diego),5,NewBoat,0.0,0.0,125000.0
+Retail (Dallas),1,NewBoat,63.15789,757894.73684,125000.0
+Retail (Dallas),2,NewBoat,71.46814,857617.72853,125000.0
+Retail (Dallas),3,NewBoat,75.8857,910628.37148,125000.0
+Retail (Dallas),4,NewBoat,76.90434,922852.03459,125000.0
+Retail (Dallas),5,NewBoat,77.27087,927250.44516,125000.0
+Retail (San Jose),1,NewBoat,0.0,0.0,125000.0
+Retail (San Jose),2,NewBoat,0.0,0.0,125000.0
+Retail (San Jose),3,NewBoat,0.0,0.0,125000.0
+Retail (San Jose),4,NewBoat,0.0,0.0,125000.0
+Retail (San Jose),5,NewBoat,0.0,0.0,125000.0
--- a/test/fixtures/boat_example/plant_outputs.csv
+++ b/test/fixtures/boat_example/plant_outputs.csv
@ -1,151 +1,151 @@
-plant,latitude,longitude,output product,year,amount produced (tonne),amount disposed (tonne),disposal limit (tonne),disposal cost ($)
-BoatFactory (Chicago),41.881832,-87.623177,NewBoat,1,0.0,0.0,0.0,0.0
-BoatFactory (Chicago),41.881832,-87.623177,NewBoat,2,0.0,0.0,0.0,0.0
-BoatFactory (Chicago),41.881832,-87.623177,NewBoat,3,0.0,0.0,0.0,0.0
-BoatFactory (Chicago),41.881832,-87.623177,NewBoat,4,0.0,0.0,0.0,0.0
-BoatFactory (Chicago),41.881832,-87.623177,NewBoat,5,0.0,0.0,0.0,0.0
-BoatFactory (New York City),40.712776,-74.005974,NewBoat,1,0.0,0.0,0.0,0.0
-BoatFactory (New York City),40.712776,-74.005974,NewBoat,2,0.0,0.0,0.0,0.0
-BoatFactory (New York City),40.712776,-74.005974,NewBoat,3,0.0,0.0,0.0,0.0
-BoatFactory (New York City),40.712776,-74.005974,NewBoat,4,0.0,0.0,0.0,0.0
-BoatFactory (New York City),40.712776,-74.005974,NewBoat,5,0.0,0.0,0.0,0.0
-BoatFactory (Los Angeles),34.052235,-118.243683,NewBoat,1,0.0,0.0,0.0,0.0
-BoatFactory (Los Angeles),34.052235,-118.243683,NewBoat,2,0.0,0.0,0.0,0.0
-BoatFactory (Los Angeles),34.052235,-118.243683,NewBoat,3,0.0,0.0,0.0,0.0
-BoatFactory (Los Angeles),34.052235,-118.243683,NewBoat,4,0.0,0.0,0.0,0.0
-BoatFactory (Los Angeles),34.052235,-118.243683,NewBoat,5,0.0,0.0,0.0,0.0
-BoatFactory (Houston),29.760427,-95.369804,NewBoat,1,0.0,0.0,0.0,0.0
-BoatFactory (Houston),29.760427,-95.369804,NewBoat,2,0.0,0.0,0.0,0.0
-BoatFactory (Houston),29.760427,-95.369804,NewBoat,3,0.0,0.0,0.0,0.0
-BoatFactory (Houston),29.760427,-95.369804,NewBoat,4,0.0,0.0,0.0,0.0
-BoatFactory (Houston),29.760427,-95.369804,NewBoat,5,0.0,0.0,0.0,0.0
-BoatFactory (Phoenix),33.448376,-112.074036,NewBoat,1,0.0,0.0,0.0,0.0
-BoatFactory (Phoenix),33.448376,-112.074036,NewBoat,2,0.0,0.0,0.0,0.0
-BoatFactory (Phoenix),33.448376,-112.074036,NewBoat,3,0.0,0.0,0.0,0.0
-BoatFactory (Phoenix),33.448376,-112.074036,NewBoat,4,0.0,0.0,0.0,0.0
-BoatFactory (Phoenix),33.448376,-112.074036,NewBoat,5,0.0,0.0,0.0,0.0
-BoatFactory (Philadelphia),39.952583,-75.165222,NewBoat,1,0.0,0.0,0.0,0.0
-BoatFactory (Philadelphia),39.952583,-75.165222,NewBoat,2,0.0,0.0,0.0,0.0
-BoatFactory (Philadelphia),39.952583,-75.165222,NewBoat,3,0.0,0.0,0.0,0.0
-BoatFactory (Philadelphia),39.952583,-75.165222,NewBoat,4,0.0,0.0,0.0,0.0
-BoatFactory (Philadelphia),39.952583,-75.165222,NewBoat,5,0.0,0.0,0.0,0.0
-BoatFactory (San Antonio),29.424122,-98.493629,NewBoat,1,0.0,0.0,0.0,0.0
-BoatFactory (San Antonio),29.424122,-98.493629,NewBoat,2,0.0,0.0,0.0,0.0
-BoatFactory (San Antonio),29.424122,-98.493629,NewBoat,3,0.0,0.0,0.0,0.0
-BoatFactory (San Antonio),29.424122,-98.493629,NewBoat,4,0.0,0.0,0.0,0.0
-BoatFactory (San Antonio),29.424122,-98.493629,NewBoat,5,0.0,0.0,0.0,0.0
-BoatFactory (San Diego),32.715736,-117.161087,NewBoat,1,0.0,0.0,0.0,0.0
-BoatFactory (San Diego),32.715736,-117.161087,NewBoat,2,0.0,0.0,0.0,0.0
-BoatFactory (San Diego),32.715736,-117.161087,NewBoat,3,0.0,0.0,0.0,0.0
-BoatFactory (San Diego),32.715736,-117.161087,NewBoat,4,0.0,0.0,0.0,0.0
-BoatFactory (San Diego),32.715736,-117.161087,NewBoat,5,0.0,0.0,0.0,0.0
-BoatFactory (Dallas),32.776664,-96.796988,NewBoat,1,63.15789,0.0,0.0,0.0
-BoatFactory (Dallas),32.776664,-96.796988,NewBoat,2,71.46814,0.0,0.0,0.0
-BoatFactory (Dallas),32.776664,-96.796988,NewBoat,3,75.8857,0.0,0.0,0.0
-BoatFactory (Dallas),32.776664,-96.796988,NewBoat,4,76.90434,0.0,0.0,0.0
-BoatFactory (Dallas),32.776664,-96.796988,NewBoat,5,77.27087,0.0,0.0,0.0
-BoatFactory (San Jose),37.338208,-121.886329,NewBoat,1,0.0,0.0,0.0,0.0
-BoatFactory (San Jose),37.338208,-121.886329,NewBoat,2,0.0,0.0,0.0,0.0
-BoatFactory (San Jose),37.338208,-121.886329,NewBoat,3,0.0,0.0,0.0,0.0
-BoatFactory (San Jose),37.338208,-121.886329,NewBoat,4,0.0,0.0,0.0,0.0
-BoatFactory (San Jose),37.338208,-121.886329,NewBoat,5,0.0,0.0,0.0,0.0
-RecyclingPlant (Chicago),41.881832,-87.623177,Nail,1,0.0,0.0,0.0,0.0
-RecyclingPlant (Chicago),41.881832,-87.623177,Nail,2,-0.0,0.0,0.0,0.0
-RecyclingPlant (Chicago),41.881832,-87.623177,Nail,3,0.0,0.0,0.0,0.0
-RecyclingPlant (Chicago),41.881832,-87.623177,Nail,4,0.0,0.0,0.0,0.0
-RecyclingPlant (Chicago),41.881832,-87.623177,Nail,5,0.0,0.0,0.0,0.0
-RecyclingPlant (Chicago),41.881832,-87.623177,Wood,1,0.0,0.0,0.0,0.0
-RecyclingPlant (Chicago),41.881832,-87.623177,Wood,2,-0.0,0.0,0.0,0.0
-RecyclingPlant (Chicago),41.881832,-87.623177,Wood,3,0.0,0.0,0.0,0.0
-RecyclingPlant (Chicago),41.881832,-87.623177,Wood,4,0.0,0.0,0.0,0.0
-RecyclingPlant (Chicago),41.881832,-87.623177,Wood,5,0.0,0.0,0.0,0.0
-RecyclingPlant (New York City),40.712776,-74.005974,Nail,1,0.0,0.0,0.0,0.0
-RecyclingPlant (New York City),40.712776,-74.005974,Nail,2,0.0,0.0,0.0,0.0
-RecyclingPlant (New York City),40.712776,-74.005974,Nail,3,0.0,0.0,0.0,0.0
-RecyclingPlant (New York City),40.712776,-74.005974,Nail,4,0.0,0.0,0.0,0.0
-RecyclingPlant (New York City),40.712776,-74.005974,Nail,5,0.0,0.0,0.0,0.0
-RecyclingPlant (New York City),40.712776,-74.005974,Wood,1,0.0,0.0,0.0,0.0
-RecyclingPlant (New York City),40.712776,-74.005974,Wood,2,0.0,0.0,0.0,0.0
-RecyclingPlant (New York City),40.712776,-74.005974,Wood,3,0.0,0.0,0.0,0.0
-RecyclingPlant (New York City),40.712776,-74.005974,Wood,4,0.0,0.0,0.0,0.0
-RecyclingPlant (New York City),40.712776,-74.005974,Wood,5,0.0,0.0,0.0,0.0
-RecyclingPlant (Los Angeles),34.052235,-118.243683,Nail,1,0.0,0.0,0.0,0.0
-RecyclingPlant (Los Angeles),34.052235,-118.243683,Nail,2,0.0,0.0,0.0,0.0
-RecyclingPlant (Los Angeles),34.052235,-118.243683,Nail,3,0.0,0.0,0.0,0.0
-RecyclingPlant (Los Angeles),34.052235,-118.243683,Nail,4,0.0,0.0,0.0,0.0
-RecyclingPlant (Los Angeles),34.052235,-118.243683,Nail,5,0.0,0.0,0.0,0.0
-RecyclingPlant (Los Angeles),34.052235,-118.243683,Wood,1,0.0,0.0,0.0,0.0
-RecyclingPlant (Los Angeles),34.052235,-118.243683,Wood,2,0.0,0.0,0.0,0.0
-RecyclingPlant (Los Angeles),34.052235,-118.243683,Wood,3,0.0,0.0,0.0,0.0
-RecyclingPlant (Los Angeles),34.052235,-118.243683,Wood,4,0.0,0.0,0.0,0.0
-RecyclingPlant (Los Angeles),34.052235,-118.243683,Wood,5,0.0,0.0,0.0,0.0
-RecyclingPlant (Houston),29.760427,-95.369804,Nail,1,0.0,0.0,0.0,0.0
-RecyclingPlant (Houston),29.760427,-95.369804,Nail,2,0.0,0.0,0.0,0.0
-RecyclingPlant (Houston),29.760427,-95.369804,Nail,3,0.0,0.0,0.0,0.0
-RecyclingPlant (Houston),29.760427,-95.369804,Nail,4,0.0,0.0,0.0,0.0
-RecyclingPlant (Houston),29.760427,-95.369804,Nail,5,0.0,0.0,0.0,0.0
-RecyclingPlant (Houston),29.760427,-95.369804,Wood,1,0.0,0.0,0.0,0.0
-RecyclingPlant (Houston),29.760427,-95.369804,Wood,2,0.0,0.0,0.0,0.0
-RecyclingPlant (Houston),29.760427,-95.369804,Wood,3,0.0,0.0,0.0,0.0
-RecyclingPlant (Houston),29.760427,-95.369804,Wood,4,0.0,0.0,0.0,0.0
-RecyclingPlant (Houston),29.760427,-95.369804,Wood,5,0.0,0.0,0.0,0.0
-RecyclingPlant (Phoenix),33.448376,-112.074036,Nail,1,0.0,0.0,0.0,0.0
-RecyclingPlant (Phoenix),33.448376,-112.074036,Nail,2,0.0,0.0,0.0,0.0
-RecyclingPlant (Phoenix),33.448376,-112.074036,Nail,3,0.0,0.0,0.0,0.0
-RecyclingPlant (Phoenix),33.448376,-112.074036,Nail,4,0.0,0.0,0.0,0.0
-RecyclingPlant (Phoenix),33.448376,-112.074036,Nail,5,0.0,0.0,0.0,0.0
-RecyclingPlant (Phoenix),33.448376,-112.074036,Wood,1,0.0,0.0,0.0,0.0
-RecyclingPlant (Phoenix),33.448376,-112.074036,Wood,2,0.0,0.0,0.0,0.0
-RecyclingPlant (Phoenix),33.448376,-112.074036,Wood,3,0.0,0.0,0.0,0.0
-RecyclingPlant (Phoenix),33.448376,-112.074036,Wood,4,0.0,0.0,0.0,0.0
-RecyclingPlant (Phoenix),33.448376,-112.074036,Wood,5,0.0,0.0,0.0,0.0
-RecyclingPlant (Philadelphia),39.952583,-75.165222,Nail,1,0.0,0.0,0.0,0.0
-RecyclingPlant (Philadelphia),39.952583,-75.165222,Nail,2,0.0,0.0,0.0,0.0
-RecyclingPlant (Philadelphia),39.952583,-75.165222,Nail,3,0.0,0.0,0.0,0.0
-RecyclingPlant (Philadelphia),39.952583,-75.165222,Nail,4,0.0,0.0,0.0,0.0
-RecyclingPlant (Philadelphia),39.952583,-75.165222,Nail,5,0.0,0.0,0.0,0.0
-RecyclingPlant (Philadelphia),39.952583,-75.165222,Wood,1,0.0,0.0,0.0,0.0
-RecyclingPlant (Philadelphia),39.952583,-75.165222,Wood,2,0.0,0.0,0.0,0.0
-RecyclingPlant (Philadelphia),39.952583,-75.165222,Wood,3,0.0,0.0,0.0,0.0
-RecyclingPlant (Philadelphia),39.952583,-75.165222,Wood,4,0.0,0.0,0.0,0.0
-RecyclingPlant (Philadelphia),39.952583,-75.165222,Wood,5,0.0,0.0,0.0,0.0
-RecyclingPlant (San Antonio),29.424122,-98.493629,Nail,1,0.0,0.0,0.0,0.0
-RecyclingPlant (San Antonio),29.424122,-98.493629,Nail,2,0.0,0.0,0.0,0.0
-RecyclingPlant (San Antonio),29.424122,-98.493629,Nail,3,0.0,0.0,0.0,0.0
-RecyclingPlant (San Antonio),29.424122,-98.493629,Nail,4,0.0,0.0,0.0,0.0
-RecyclingPlant (San Antonio),29.424122,-98.493629,Nail,5,0.0,0.0,0.0,0.0
-RecyclingPlant (San Antonio),29.424122,-98.493629,Wood,1,0.0,0.0,0.0,0.0
-RecyclingPlant (San Antonio),29.424122,-98.493629,Wood,2,0.0,0.0,0.0,0.0
-RecyclingPlant (San Antonio),29.424122,-98.493629,Wood,3,0.0,0.0,0.0,0.0
-RecyclingPlant (San Antonio),29.424122,-98.493629,Wood,4,0.0,0.0,0.0,0.0
-RecyclingPlant (San Antonio),29.424122,-98.493629,Wood,5,0.0,0.0,0.0,0.0
-RecyclingPlant (San Diego),32.715736,-117.161087,Nail,1,0.0,0.0,0.0,0.0
-RecyclingPlant (San Diego),32.715736,-117.161087,Nail,2,0.0,0.0,0.0,0.0
-RecyclingPlant (San Diego),32.715736,-117.161087,Nail,3,0.0,0.0,0.0,0.0
-RecyclingPlant (San Diego),32.715736,-117.161087,Nail,4,0.0,0.0,0.0,0.0
-RecyclingPlant (San Diego),32.715736,-117.161087,Nail,5,0.0,0.0,0.0,0.0
-RecyclingPlant (San Diego),32.715736,-117.161087,Wood,1,0.0,0.0,0.0,0.0
-RecyclingPlant (San Diego),32.715736,-117.161087,Wood,2,0.0,0.0,0.0,0.0
-RecyclingPlant (San Diego),32.715736,-117.161087,Wood,3,0.0,0.0,0.0,0.0
-RecyclingPlant (San Diego),32.715736,-117.161087,Wood,4,0.0,0.0,0.0,0.0
-RecyclingPlant (San Diego),32.715736,-117.161087,Wood,5,0.0,0.0,0.0,0.0
-RecyclingPlant (Dallas),32.776664,-96.796988,Nail,1,0.15789,0.0,0.0,0.0
-RecyclingPlant (Dallas),32.776664,-96.796988,Nail,2,0.57341,0.0,0.0,0.0
-RecyclingPlant (Dallas),32.776664,-96.796988,Nail,3,0.79428,0.0,0.0,0.0
-RecyclingPlant (Dallas),32.776664,-96.796988,Nail,4,0.84522,0.0,0.0,0.0
-RecyclingPlant (Dallas),32.776664,-96.796988,Nail,5,0.86354,0.0,0.0,0.0
-RecyclingPlant (Dallas),32.776664,-96.796988,Wood,1,3.0,0.0,0.0,0.0
-RecyclingPlant (Dallas),32.776664,-96.796988,Wood,2,10.89474,0.0,0.0,0.0
-RecyclingPlant (Dallas),32.776664,-96.796988,Wood,3,15.09141,0.0,0.0,0.0
-RecyclingPlant (Dallas),32.776664,-96.796988,Wood,4,16.05912,0.0,0.0,0.0
-RecyclingPlant (Dallas),32.776664,-96.796988,Wood,5,16.40733,0.0,0.0,0.0
-RecyclingPlant (San Jose),37.338208,-121.886329,Nail,1,0.0,0.0,0.0,0.0
-RecyclingPlant (San Jose),37.338208,-121.886329,Nail,2,0.0,0.0,0.0,0.0
-RecyclingPlant (San Jose),37.338208,-121.886329,Nail,3,0.0,0.0,0.0,0.0
-RecyclingPlant (San Jose),37.338208,-121.886329,Nail,4,0.0,0.0,0.0,0.0
-RecyclingPlant (San Jose),37.338208,-121.886329,Nail,5,0.0,0.0,0.0,0.0
-RecyclingPlant (San Jose),37.338208,-121.886329,Wood,1,0.0,0.0,0.0,0.0
-RecyclingPlant (San Jose),37.338208,-121.886329,Wood,2,0.0,0.0,0.0,0.0
-RecyclingPlant (San Jose),37.338208,-121.886329,Wood,3,0.0,0.0,0.0,0.0
-RecyclingPlant (San Jose),37.338208,-121.886329,Wood,4,0.0,0.0,0.0,0.0
-RecyclingPlant (San Jose),37.338208,-121.886329,Wood,5,0.0,0.0,0.0,0.0
+plant,output product,year,amount produced (tonne),amount disposed (tonne),disposal cost ($)
+BoatFactory (Chicago),NewBoat,1,0.0,0.0,0.0
+BoatFactory (Chicago),NewBoat,2,0.0,0.0,0.0
+BoatFactory (Chicago),NewBoat,3,0.0,0.0,0.0
+BoatFactory (Chicago),NewBoat,4,0.0,0.0,0.0
+BoatFactory (Chicago),NewBoat,5,0.0,0.0,0.0
+BoatFactory (New York City),NewBoat,1,0.0,0.0,0.0
+BoatFactory (New York City),NewBoat,2,0.0,0.0,0.0
+BoatFactory (New York City),NewBoat,3,0.0,0.0,0.0
+BoatFactory (New York City),NewBoat,4,0.0,0.0,0.0
+BoatFactory (New York City),NewBoat,5,0.0,0.0,0.0
+BoatFactory (Los Angeles),NewBoat,1,0.0,0.0,0.0
+BoatFactory (Los Angeles),NewBoat,2,0.0,0.0,0.0
+BoatFactory (Los Angeles),NewBoat,3,0.0,0.0,0.0
+BoatFactory (Los Angeles),NewBoat,4,0.0,0.0,0.0
+BoatFactory (Los Angeles),NewBoat,5,0.0,0.0,0.0
+BoatFactory (Houston),NewBoat,1,0.0,0.0,0.0
+BoatFactory (Houston),NewBoat,2,0.0,0.0,0.0
+BoatFactory (Houston),NewBoat,3,0.0,0.0,0.0
+BoatFactory (Houston),NewBoat,4,0.0,0.0,0.0
+BoatFactory (Houston),NewBoat,5,0.0,0.0,0.0
+BoatFactory (Phoenix),NewBoat,1,0.0,0.0,0.0
+BoatFactory (Phoenix),NewBoat,2,0.0,0.0,0.0
+BoatFactory (Phoenix),NewBoat,3,0.0,0.0,0.0
+BoatFactory (Phoenix),NewBoat,4,0.0,0.0,0.0
+BoatFactory (Phoenix),NewBoat,5,0.0,0.0,0.0
+BoatFactory (Philadelphia),NewBoat,1,0.0,0.0,0.0
+BoatFactory (Philadelphia),NewBoat,2,0.0,0.0,0.0
+BoatFactory (Philadelphia),NewBoat,3,0.0,0.0,0.0
+BoatFactory (Philadelphia),NewBoat,4,0.0,0.0,0.0
+BoatFactory (Philadelphia),NewBoat,5,0.0,0.0,0.0
+BoatFactory (San Antonio),NewBoat,1,0.0,0.0,0.0
+BoatFactory (San Antonio),NewBoat,2,0.0,0.0,0.0
+BoatFactory (San Antonio),NewBoat,3,0.0,0.0,0.0
+BoatFactory (San Antonio),NewBoat,4,0.0,0.0,0.0
+BoatFactory (San Antonio),NewBoat,5,0.0,0.0,0.0
+BoatFactory (San Diego),NewBoat,1,0.0,0.0,0.0
+BoatFactory (San Diego),NewBoat,2,0.0,0.0,0.0
+BoatFactory (San Diego),NewBoat,3,0.0,0.0,0.0
+BoatFactory (San Diego),NewBoat,4,0.0,0.0,0.0
+BoatFactory (San Diego),NewBoat,5,0.0,0.0,0.0
+BoatFactory (Dallas),NewBoat,1,63.15789,0.0,0.0
+BoatFactory (Dallas),NewBoat,2,71.46814,0.0,0.0
+BoatFactory (Dallas),NewBoat,3,75.8857,0.0,0.0
+BoatFactory (Dallas),NewBoat,4,76.90434,0.0,0.0
+BoatFactory (Dallas),NewBoat,5,77.27087,0.0,0.0
+BoatFactory (San Jose),NewBoat,1,0.0,0.0,0.0
+BoatFactory (San Jose),NewBoat,2,0.0,0.0,0.0
+BoatFactory (San Jose),NewBoat,3,0.0,0.0,0.0
+BoatFactory (San Jose),NewBoat,4,0.0,0.0,0.0
+BoatFactory (San Jose),NewBoat,5,0.0,0.0,0.0
+RecyclingPlant (Chicago),Nail,1,0.0,0.0,0.0
+RecyclingPlant (Chicago),Nail,2,0.0,0.0,0.0
+RecyclingPlant (Chicago),Nail,3,0.0,0.0,0.0
+RecyclingPlant (Chicago),Nail,4,0.0,0.0,0.0
+RecyclingPlant (Chicago),Nail,5,0.0,0.0,0.0
+RecyclingPlant (Chicago),Wood,1,0.0,0.0,0.0
+RecyclingPlant (Chicago),Wood,2,0.0,0.0,0.0
+RecyclingPlant (Chicago),Wood,3,0.0,0.0,0.0
+RecyclingPlant (Chicago),Wood,4,0.0,0.0,0.0
+RecyclingPlant (Chicago),Wood,5,0.0,0.0,0.0
+RecyclingPlant (New York City),Nail,1,0.0,0.0,0.0
+RecyclingPlant (New York City),Nail,2,0.0,0.0,0.0
+RecyclingPlant (New York City),Nail,3,0.0,0.0,0.0
+RecyclingPlant (New York City),Nail,4,0.0,0.0,0.0
+RecyclingPlant (New York City),Nail,5,0.0,0.0,0.0
+RecyclingPlant (New York City),Wood,1,0.0,0.0,0.0
+RecyclingPlant (New York City),Wood,2,0.0,0.0,0.0
+RecyclingPlant (New York City),Wood,3,0.0,0.0,0.0
+RecyclingPlant (New York City),Wood,4,0.0,0.0,0.0
+RecyclingPlant (New York City),Wood,5,0.0,0.0,0.0
+RecyclingPlant (Los Angeles),Nail,1,0.0,0.0,0.0
+RecyclingPlant (Los Angeles),Nail,2,0.0,0.0,0.0
+RecyclingPlant (Los Angeles),Nail,3,0.0,0.0,0.0
+RecyclingPlant (Los Angeles),Nail,4,0.0,0.0,0.0
+RecyclingPlant (Los Angeles),Nail,5,0.0,0.0,0.0
+RecyclingPlant (Los Angeles),Wood,1,0.0,0.0,0.0
+RecyclingPlant (Los Angeles),Wood,2,0.0,0.0,0.0
+RecyclingPlant (Los Angeles),Wood,3,0.0,0.0,0.0
+RecyclingPlant (Los Angeles),Wood,4,0.0,0.0,0.0
+RecyclingPlant (Los Angeles),Wood,5,0.0,0.0,0.0
+RecyclingPlant (Houston),Nail,1,0.0,0.0,0.0
+RecyclingPlant (Houston),Nail,2,0.0,0.0,0.0
+RecyclingPlant (Houston),Nail,3,0.0,0.0,0.0
+RecyclingPlant (Houston),Nail,4,0.0,0.0,0.0
+RecyclingPlant (Houston),Nail,5,0.0,0.0,0.0
+RecyclingPlant (Houston),Wood,1,0.0,0.0,0.0
+RecyclingPlant (Houston),Wood,2,0.0,0.0,0.0
+RecyclingPlant (Houston),Wood,3,0.0,0.0,0.0
+RecyclingPlant (Houston),Wood,4,0.0,0.0,0.0
+RecyclingPlant (Houston),Wood,5,0.0,0.0,0.0
+RecyclingPlant (Phoenix),Nail,1,0.0,0.0,0.0
+RecyclingPlant (Phoenix),Nail,2,0.0,0.0,0.0
+RecyclingPlant (Phoenix),Nail,3,0.0,0.0,0.0
+RecyclingPlant (Phoenix),Nail,4,0.0,0.0,0.0
+RecyclingPlant (Phoenix),Nail,5,0.0,0.0,0.0
+RecyclingPlant (Phoenix),Wood,1,0.0,0.0,0.0
+RecyclingPlant (Phoenix),Wood,2,0.0,0.0,0.0
+RecyclingPlant (Phoenix),Wood,3,0.0,0.0,0.0
+RecyclingPlant (Phoenix),Wood,4,0.0,0.0,0.0
+RecyclingPlant (Phoenix),Wood,5,0.0,0.0,0.0
+RecyclingPlant (Philadelphia),Nail,1,0.0,0.0,0.0
+RecyclingPlant (Philadelphia),Nail,2,0.0,0.0,0.0
+RecyclingPlant (Philadelphia),Nail,3,0.0,0.0,0.0
+RecyclingPlant (Philadelphia),Nail,4,0.0,0.0,0.0
+RecyclingPlant (Philadelphia),Nail,5,0.0,0.0,0.0
+RecyclingPlant (Philadelphia),Wood,1,0.0,0.0,0.0
+RecyclingPlant (Philadelphia),Wood,2,0.0,0.0,0.0
+RecyclingPlant (Philadelphia),Wood,3,0.0,0.0,0.0
+RecyclingPlant (Philadelphia),Wood,4,0.0,0.0,0.0
+RecyclingPlant (Philadelphia),Wood,5,0.0,0.0,0.0
+RecyclingPlant (San Antonio),Nail,1,0.0,0.0,0.0
+RecyclingPlant (San Antonio),Nail,2,0.0,0.0,0.0
+RecyclingPlant (San Antonio),Nail,3,0.0,0.0,0.0
+RecyclingPlant (San Antonio),Nail,4,0.0,0.0,0.0
+RecyclingPlant (San Antonio),Nail,5,0.0,0.0,0.0
+RecyclingPlant (San Antonio),Wood,1,0.0,0.0,0.0
+RecyclingPlant (San Antonio),Wood,2,0.0,0.0,0.0
+RecyclingPlant (San Antonio),Wood,3,0.0,0.0,0.0
+RecyclingPlant (San Antonio),Wood,4,0.0,0.0,0.0
+RecyclingPlant (San Antonio),Wood,5,0.0,0.0,0.0
+RecyclingPlant (San Diego),Nail,1,0.0,0.0,0.0
+RecyclingPlant (San Diego),Nail,2,0.0,0.0,0.0
+RecyclingPlant (San Diego),Nail,3,0.0,0.0,0.0
+RecyclingPlant (San Diego),Nail,4,0.0,0.0,0.0
+RecyclingPlant (San Diego),Nail,5,0.0,0.0,0.0
+RecyclingPlant (San Diego),Wood,1,0.0,0.0,0.0
+RecyclingPlant (San Diego),Wood,2,0.0,0.0,0.0
+RecyclingPlant (San Diego),Wood,3,0.0,0.0,0.0
+RecyclingPlant (San Diego),Wood,4,0.0,0.0,0.0
+RecyclingPlant (San Diego),Wood,5,0.0,0.0,0.0
+RecyclingPlant (Dallas),Nail,1,0.15789,0.0,0.0
+RecyclingPlant (Dallas),Nail,2,0.57341,0.0,0.0
+RecyclingPlant (Dallas),Nail,3,0.79428,0.0,0.0
+RecyclingPlant (Dallas),Nail,4,0.84522,0.0,0.0
+RecyclingPlant (Dallas),Nail,5,0.86354,0.0,0.0
+RecyclingPlant (Dallas),Wood,1,3.0,0.0,0.0
+RecyclingPlant (Dallas),Wood,2,10.89474,0.0,0.0
+RecyclingPlant (Dallas),Wood,3,15.09141,0.0,0.0
+RecyclingPlant (Dallas),Wood,4,16.05912,0.0,0.0
+RecyclingPlant (Dallas),Wood,5,16.40733,0.0,0.0
+RecyclingPlant (San Jose),Nail,1,0.0,0.0,0.0
+RecyclingPlant (San Jose),Nail,2,0.0,0.0,0.0
+RecyclingPlant (San Jose),Nail,3,0.0,0.0,0.0
+RecyclingPlant (San Jose),Nail,4,0.0,0.0,0.0
+RecyclingPlant (San Jose),Nail,5,0.0,0.0,0.0
+RecyclingPlant (San Jose),Wood,1,0.0,0.0,0.0
+RecyclingPlant (San Jose),Wood,2,0.0,0.0,0.0
+RecyclingPlant (San Jose),Wood,3,0.0,0.0,0.0
+RecyclingPlant (San Jose),Wood,4,0.0,0.0,0.0
+RecyclingPlant (San Jose),Wood,5,0.0,0.0,0.0
--- a/test/fixtures/boat_example/plants.csv
+++ b/test/fixtures/boat_example/plants.csv
@ -1,101 +1,101 @@
-plant,latitude,longitude,initial capacity,current capacity,year,operational?,input amount (tonne),opening cost ($),fixed operating cost ($),variable operating cost ($)
-BoatFactory (Chicago),41.881832,-87.623177,0.0,0.0,1,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),41.881832,-87.623177,0.0,0.0,3,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),41.881832,-87.623177,0.0,0.0,5,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),40.712776,-74.005974,0.0,0.0,2,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),40.712776,-74.005974,0.0,0.0,4,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),34.052235,-118.243683,0.0,0.0,1,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),34.052235,-118.243683,0.0,0.0,3,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),34.052235,-118.243683,0.0,0.0,5,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),29.760427,-95.369804,0.0,0.0,2,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),29.760427,-95.369804,0.0,0.0,4,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),33.448376,-112.074036,0.0,0.0,1,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),33.448376,-112.074036,0.0,0.0,3,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),33.448376,-112.074036,0.0,0.0,5,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),39.952583,-75.165222,0.0,0.0,2,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),39.952583,-75.165222,0.0,0.0,4,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),29.424122,-98.493629,0.0,0.0,1,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),29.424122,-98.493629,0.0,0.0,3,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),29.424122,-98.493629,0.0,0.0,5,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),32.715736,-117.161087,0.0,0.0,2,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),32.715736,-117.161087,0.0,0.0,4,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),32.776664,-96.796988,0.0,500.0,1,true,63.15789,100000.0,250000.0,315.78947
-BoatFactory (Dallas),32.776664,-96.796988,0.0,500.0,2,true,71.46814,0.0,250000.0,357.34072
-BoatFactory (Dallas),32.776664,-96.796988,0.0,500.0,3,true,75.8857,0.0,250000.0,379.42849
-BoatFactory (Dallas),32.776664,-96.796988,0.0,500.0,4,true,76.90434,0.0,250000.0,384.52168
-BoatFactory (Dallas),32.776664,-96.796988,0.0,500.0,5,true,77.27087,0.0,250000.0,386.35435
-BoatFactory (San Jose),37.338208,-121.886329,0.0,0.0,1,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),37.338208,-121.886329,0.0,0.0,3,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),37.338208,-121.886329,0.0,0.0,5,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),41.881832,-87.623177,0.0,0.0,2,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),41.881832,-87.623177,0.0,0.0,4,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),40.712776,-74.005974,0.0,0.0,1,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),40.712776,-74.005974,0.0,0.0,3,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),40.712776,-74.005974,0.0,0.0,5,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),34.052235,-118.243683,0.0,0.0,2,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),34.052235,-118.243683,0.0,0.0,4,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),29.760427,-95.369804,0.0,0.0,1,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),29.760427,-95.369804,0.0,0.0,3,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),29.760427,-95.369804,0.0,0.0,5,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),33.448376,-112.074036,0.0,0.0,2,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),33.448376,-112.074036,0.0,0.0,4,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),39.952583,-75.165222,0.0,0.0,1,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),39.952583,-75.165222,0.0,0.0,3,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),39.952583,-75.165222,0.0,0.0,5,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),29.424122,-98.493629,0.0,0.0,2,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),29.424122,-98.493629,0.0,0.0,4,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),32.715736,-117.161087,0.0,0.0,1,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),32.715736,-117.161087,0.0,0.0,3,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),32.715736,-117.161087,0.0,0.0,5,false,0.0,0.0,0.0,0.0
-RecyclingPlant (Dallas),32.776664,-96.796988,0.0,500.0,1,true,6.31579,500000.0,125000.0,15.78947
-RecyclingPlant (Dallas),32.776664,-96.796988,0.0,500.0,2,true,22.93629,0.0,125000.0,57.34072
-RecyclingPlant (Dallas),32.776664,-96.796988,0.0,500.0,3,true,31.7714,0.0,125000.0,79.42849
-RecyclingPlant (Dallas),32.776664,-96.796988,0.0,500.0,4,true,33.80867,0.0,125000.0,84.52168
-RecyclingPlant (Dallas),32.776664,-96.796988,0.0,500.0,5,true,34.54174,0.0,125000.0,86.35435
-RecyclingPlant (San Jose),37.338208,-121.886329,0.0,0.0,1,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),37.338208,-121.886329,0.0,0.0,3,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),37.338208,-121.886329,0.0,0.0,5,false,0.0,0.0,0.0,0.0
+plant,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),2,false,-0.0,0.0,0.0,-0.0
+BoatFactory (Chicago),3,false,-0.0,0.0,0.0,-0.0
+BoatFactory (Chicago),4,false,-0.0,0.0,0.0,-0.0
+BoatFactory (Chicago),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),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),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 (Los Angeles),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),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),5,false,-0.0,0.0,0.0,-0.0
+BoatFactory (Houston),1,false,-0.0,0.0,0.0,-0.0
+BoatFactory (Houston),2,false,-0.0,0.0,0.0,-0.0
+BoatFactory (Houston),3,false,-0.0,0.0,0.0,-0.0
+BoatFactory (Houston),4,false,-0.0,0.0,0.0,-0.0
+BoatFactory (Houston),5,false,-0.0,0.0,0.0,-0.0
+BoatFactory (Phoenix),1,false,-0.0,0.0,0.0,-0.0
+BoatFactory (Phoenix),2,false,-0.0,0.0,0.0,-0.0
+BoatFactory (Phoenix),3,false,0.0,0.0,0.0,0.0
+BoatFactory (Phoenix),4,false,-0.0,0.0,0.0,-0.0
+BoatFactory (Phoenix),5,false,0.0,0.0,0.0,0.0
+BoatFactory (Philadelphia),1,false,0.0,0.0,0.0,0.0
+BoatFactory (Philadelphia),2,false,0.0,0.0,0.0,0.0
+BoatFactory (Philadelphia),3,false,0.0,0.0,0.0,0.0
+BoatFactory (Philadelphia),4,false,0.0,0.0,0.0,0.0
+BoatFactory (Philadelphia),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),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),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 Diego),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),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),5,false,0.0,0.0,0.0,0.0
+BoatFactory (Dallas),1,true,63.15789,100000.0,250000.0,315.78947
+BoatFactory (Dallas),2,true,71.46814,0.0,250000.0,357.34072
+BoatFactory (Dallas),3,true,75.8857,0.0,250000.0,379.42849
+BoatFactory (Dallas),4,true,76.90434,0.0,250000.0,384.52168
+BoatFactory (Dallas),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),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),4,false,0.0,0.0,0.0,0.0
+BoatFactory (San Jose),5,false,0.0,0.0,0.0,0.0
+RecyclingPlant (Chicago),1,false,0.0,0.0,0.0,0.0
+RecyclingPlant (Chicago),2,false,0.0,0.0,0.0,0.0
+RecyclingPlant (Chicago),3,false,0.0,0.0,0.0,0.0
+RecyclingPlant (Chicago),4,false,0.0,0.0,0.0,0.0
+RecyclingPlant (Chicago),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),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),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 (Los Angeles),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),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),5,false,0.0,0.0,0.0,0.0
+RecyclingPlant (Houston),1,false,0.0,0.0,0.0,0.0
+RecyclingPlant (Houston),2,false,0.0,0.0,0.0,0.0
+RecyclingPlant (Houston),3,false,0.0,0.0,0.0,0.0
+RecyclingPlant (Houston),4,false,0.0,0.0,0.0,0.0
+RecyclingPlant (Houston),5,false,0.0,0.0,0.0,0.0
+RecyclingPlant (Phoenix),1,false,0.0,0.0,0.0,0.0
+RecyclingPlant (Phoenix),2,false,0.0,0.0,0.0,0.0
+RecyclingPlant (Phoenix),3,false,-0.0,0.0,0.0,-0.0
+RecyclingPlant (Phoenix),4,false,0.0,0.0,0.0,0.0
+RecyclingPlant (Phoenix),5,false,0.0,0.0,0.0,0.0
+RecyclingPlant (Philadelphia),1,false,0.0,0.0,0.0,0.0
+RecyclingPlant (Philadelphia),2,false,0.0,0.0,0.0,0.0
+RecyclingPlant (Philadelphia),3,false,0.0,0.0,0.0,0.0
+RecyclingPlant (Philadelphia),4,false,0.0,0.0,0.0,0.0
+RecyclingPlant (Philadelphia),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),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),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 Diego),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),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),5,false,0.0,0.0,0.0,0.0
+RecyclingPlant (Dallas),1,true,6.31579,500000.0,125000.0,15.78947
+RecyclingPlant (Dallas),2,true,22.93629,0.0,125000.0,57.34072
+RecyclingPlant (Dallas),3,true,31.7714,0.0,125000.0,79.42849
+RecyclingPlant (Dallas),4,true,33.80867,0.0,125000.0,84.52168
+RecyclingPlant (Dallas),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),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),4,false,0.0,0.0,0.0,0.0
+RecyclingPlant (San Jose),5,false,0.0,0.0,0.0,0.0
--- a/test/fixtures/simple.json
+++ b/test/fixtures/simple.json
@ -11,8 +11,7 @@
      "transportation emissions (tonne/km/tonne)": {
        "CO2": 0.052,
        "CH4": [0.003, 0.003, 0.003, 0.003]
-      },
-      "disposal limit (tonne)": 1.0
+      }
    },
    "P2": {
      "transportation cost ($/km/tonne)": [0.015, 0.015, 0.015, 0.015],
@ -20,8 +19,7 @@
      "transportation emissions (tonne/km/tonne)": {
        "CO2": [0.052, 0.052, 0.052, 0.052],
        "CH4": [0.003, 0.003, 0.003, 0.003]
-      },
-      "disposal limit (tonne)": 2.0
+      }
    },
    "P3": {
      "transportation cost ($/km/tonne)": [0.015, 0.015, 0.015, 0.015],
@ -29,8 +27,7 @@
      "transportation emissions (tonne/km/tonne)": {
        "CO2": [0.052, 0.052, 0.052, 0.052],
        "CH4": [0.003, 0.003, 0.003, 0.003]
-      },
-      "disposal limit (tonne)": 5.0
+      }
    },
    "P4": {
      "transportation cost ($/km/tonne)": [0.015, 0.015, 0.015, 0.015],
@ -38,8 +35,7 @@
      "transportation emissions (tonne/km/tonne)": {
        "CO2": [0.052, 0.052, 0.052, 0.052],
        "CH4": [0.003, 0.003, 0.003, 0.003]
-      },
-      "disposal limit (tonne)": null
+      }
    }
  },
  "centers": {
--- a/test/src/RELOGT.jl
+++ b/test/src/RELOGT.jl
@ -24,7 +24,6 @@ function runtests()
        model_dist_test()
        report_tests()
    end
-    return
 end

 function format()
--- a/test/src/instance/parse_test.jl
+++ b/test/src/instance/parse_test.jl
@ -18,7 +18,6 @@ function instance_parse_test_1()
    @test p1.tr_energy == [0.12, 0.12, 0.12, 0.12]
    @test p1.tr_emissions ==
          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
    p2 = instance.products[2]
    p3 = instance.products[3]
--- a/test/src/model/build_test.jl
+++ b/test/src/model/build_test.jl
@ -109,13 +109,4 @@ function model_build_test()
    @test repr(model[:eq_disposal_limit]["C1", "P2", 1]) ==
          "eq_disposal_limit[C1,P2,1] : z_disp[C1,P2,1] ≤ 0"
    @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
--- a/test/src/model/dist_test.jl
+++ b/test/src/model/dist_test.jl
@ -6,20 +6,8 @@ using RELOG

 function model_dist_test()
    # 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
-    @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