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# RELOG: Reverse Logistics Optimization
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# Copyright (C) 2020, UChicago Argonne, LLC. All rights reserved.
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# Released under the modified BSD license. See COPYING.md for more details.
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using DataFrames
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using CSV
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function centers_report(model)::DataFrame
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df = DataFrame()
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df."center" = String[]
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df."year" = Int[]
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df."input product" = String[]
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df."input amount (tonne)" = Float64[]
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centers = model.ext[:instance].centers
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T = 1:model.ext[:instance].time_horizon
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for c in centers, t in T
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input_name = (c.input === nothing) ? "" : c.input.name
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input = round(value(model[:z_input][c.name, t]), digits = 3)
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push!(df, [c.name, t, input_name, input])
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end
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return df
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end
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function center_outputs_report(model)::DataFrame
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df = DataFrame()
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df."center" = String[]
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df."output product" = String[]
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df."year" = Int[]
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df."amount collected (tonne)" = Float64[]
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df."amount disposed (tonne)" = Float64[]
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centers = model.ext[:instance].centers
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T = 1:model.ext[:instance].time_horizon
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for c in centers, m in c.outputs, t in T
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collected = round(value(model[:z_collected][c.name, m.name, t]), digits = 3)
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disposed = round(value(model[:z_disp][c.name, m.name, t]), digits = 3)
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push!(df, [c.name, m.name, t, collected, disposed])
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end
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return df
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end
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write_centers_report(solution, filename) = CSV.write(filename, centers_report(solution))
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write_center_outputs_report(solution, filename) =
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CSV.write(filename, center_outputs_report(solution))
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# RELOG: Reverse Logistics Optimization
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# Copyright (C) 2020, UChicago Argonne, LLC. All rights reserved.
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# Released under the modified BSD license. See COPYING.md for more details.
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using DataFrames
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using CSV
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function plants_report(model)::DataFrame
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df = DataFrame()
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df."plant" = String[]
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df."year" = Int[]
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df."operational?" = Bool[]
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df."input amount (tonne)" = Float64[]
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plants = model.ext[:instance].plants
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T = 1:model.ext[:instance].time_horizon
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for p in plants, t in T
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operational = JuMP.value(model[:x][p.name, t]) > 0.5
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input = value(model[:z_input][p.name, t])
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operational || continue
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push!(df, [p.name, t, operational, input])
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end
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return df
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end
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function plant_outputs_report(model)::DataFrame
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df = DataFrame()
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df."plant" = String[]
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df."output product" = String[]
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df."year" = Int[]
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df."amount produced (tonne)" = Float64[]
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df."amount disposed (tonne)" = Float64[]
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plants = model.ext[:instance].plants
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T = 1:model.ext[:instance].time_horizon
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for p in plants, m in keys(p.output), t in T
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produced = JuMP.value(model[:z_prod][p.name, m.name, t])
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disposed = JuMP.value(model[:z_disp][p.name, m.name, t])
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produced > 1e-3 || continue
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push!(df, [p.name, m.name, t, produced, disposed])
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end
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return df
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end
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write_plants_report(solution, filename) = CSV.write(filename, plants_report(solution))
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write_plant_outputs_report(solution, filename) =
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CSV.write(filename, plant_outputs_report(solution))
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# RELOG: Reverse Logistics Optimization
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# Copyright (C) 2020, UChicago Argonne, LLC. All rights reserved.
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# Released under the modified BSD license. See COPYING.md for more details.
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using DataFrames
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using CSV
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function transportation_report(model)::DataFrame
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df = DataFrame()
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df."source" = String[]
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df."destination" = String[]
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df."product" = String[]
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df."year" = Int[]
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df."amount sent (tonne)" = Float64[]
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df."distance (km)" = Float64[]
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E = model.ext[:E]
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distances = model.ext[:distances]
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T = 1:model.ext[:instance].time_horizon
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for (p1, p2, m) in E, t in T
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amount = value(model[:y][p1.name, p2.name, m.name, t])
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amount > 1e-3 || continue
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distance = distances[p1, p2, m]
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push!(df, [p1.name, p2.name, m.name, t, amount, distance])
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end
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return df
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end
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write_transportation_report(solution, filename) =
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CSV.write(filename, transportation_report(solution))
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File diff suppressed because it is too large
Load Diff
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function report_tests()
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# Load and solve the boat example
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instance = RELOG.parsefile(fixture("boat_example.json"))
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model = RELOG.build_model(instance, optimizer = HiGHS.Optimizer, variable_names = true)
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optimize!(model)
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write_to_file(model, "tmp/model.lp")
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RELOG.write_plants_report(model, "tmp/plants.csv")
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RELOG.write_plant_outputs_report(model, "tmp/plant_outputs.csv")
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RELOG.write_centers_report(model, "tmp/centers.csv")
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RELOG.write_center_outputs_report(model, "tmp/center_outputs.csv")
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RELOG.write_transportation_report(model, "tmp/transportation.csv")
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end
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