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RELOG
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Update output; fix typo

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Alinson S. Xavier 5 years ago
parent 583208aa53
commit 046ee52d9d
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GPG Key ID: A796166E4E218E02
3 changed files with 277 additions and 182 deletions
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358
instances/solutions/s1.json
Unescape View File

@ -1,20 +1,30 @@
{ {
"Energy": {
"Plants (GJ)": [
568.6368,
521.2504
],
"Transportation (GJ)": [
3.120910400232,
2.860834533546
]
},
"Costs": { "Costs": {
"Variable operating ($)": [ "Variable operating ($)": [
216672.818, 216672.818,
216672.818 216672.818
], ],
"Transportation ($)": [ "Transportation ($)": [
714499.27483131, 714499.2748313101,
714499.27483131 714499.2748313101
], ],
"Disposal ($)": [ "Disposal ($)": [
-20.0, -20.0,
-20.0 -20.0
], ],
"Total ($)": [ "Total ($)": [
935782.09283131, 935782.0928313101,
935396.86883131 935396.8688313101
], ],
"Fixed operating ($)": [ "Fixed operating ($)": [
130.0, 130.0,
@ -32,30 +42,34 @@
"Plants": { "Plants": {
"F3": { "F3": {
"L5": { "L5": {
"Output": { "Opening cost ($)": [
"Send": {}, 0.0,
"Dispose": {} 0.0
},
"Total input (tonne)": [
757.3824000000001,
757.3824000000001
], ],
"Total output": {},
"Expansion cost ($)": [ "Expansion cost ($)": [
0.0, 0.0,
0.0 0.0
], ],
"Longitude (deg)": 100.0,
"Energy (GJ)": [
0.0,
0.0
],
"Total output": {},
"Capacity (tonne)": [ "Capacity (tonne)": [
15000.0, 15000.0,
15000.0 15000.0
], ],
"Fixed operating cost ($)": [
0.0,
0.0
],
"Longitude (deg)": 100.0,
"Latitude (deg)": 100.0, "Latitude (deg)": 100.0,
"Opening cost ($)": [ "Output": {
"Send": {},
"Dispose": {}
},
"Total input (tonne)": [
757.3824000000001,
757.3824000000001
],
"Fixed operating cost ($)": [
0.0, 0.0,
0.0 0.0
], ],
@ -67,6 +81,10 @@
757.3824000000001, 757.3824000000001,
757.3824000000001 757.3824000000001
], ],
"Transportation energy (J)": [
0.0,
0.0
],
"Transportation cost ($)": [ "Transportation cost ($)": [
116792.36127216002, 116792.36127216002,
116792.36127216002 116792.36127216002
@ -84,6 +102,34 @@
}, },
"F1": { "F1": {
"L1": { "L1": {
"Opening cost ($)": [
500.0,
0.0
],
"Expansion cost ($)": [
0.0,
750.0
],
"Longitude (deg)": 0.0,
"Energy (GJ)": [
120.0,
110.0
],
"Total output": {
"P2": [
200.0,
200.0
],
"P3": [
500.0,
500.0
]
},
"Capacity (tonne)": [
1000.0,
1000.0
],
"Latitude (deg)": 0.0,
"Output": { "Output": {
"Send": { "Send": {
"P2": { "P2": {
@ -140,45 +186,25 @@
1000.0, 1000.0,
1000.0 1000.0
], ],
"Total output": {
"P2": [
200.0,
200.0
],
"P3": [
500.0,
500.0
]
},
"Expansion cost ($)": [
0.0,
750.0
],
"Capacity (tonne)": [
1000.0,
1000.0
],
"Fixed operating cost ($)": [ "Fixed operating cost ($)": [
30.0, 30.0,
30.0 30.0
], ],
"Longitude (deg)": 0.0,
"Latitude (deg)": 0.0,
"Opening cost ($)": [
500.0,
0.0
],
"Input": { "Input": {
"Origin": { "Origin": {
"C3": { "C3": {
"Distance (km)": 8889.75, "Distance (km)": 8889.75,
"Amount (tonne)": [ "Amount (tonne)": [
212.97000000000003, 212.97,
212.97000000000003 212.97
],
"Transportation energy (J)": [
227190.00689999998,
208257.506325
], ],
"Transportation cost ($)": [ "Transportation cost ($)": [
28398.750862500005, 28398.7508625,
28398.750862500005 28398.7508625
], ],
"Longitude (deg)": 76.0, "Longitude (deg)": 76.0,
"Variable operating cost ($)": [ "Variable operating cost ($)": [
@ -190,34 +216,42 @@
"C7": { "C7": {
"Distance (km)": 8526.39, "Distance (km)": 8526.39,
"Amount (tonne)": [ "Amount (tonne)": [
246.62, 246.61999999999998,
246.62 246.61999999999998
],
"Transportation energy (J)": [
252333.39621599994,
231305.61319799995
], ],
"Transportation cost ($)": [ "Transportation cost ($)": [
31541.674527, 31541.674526999996,
31541.674527 31541.674526999996
], ],
"Longitude (deg)": 83.0, "Longitude (deg)": 83.0,
"Variable operating cost ($)": [ "Variable operating cost ($)": [
7398.6, 7398.599999999999,
7398.6 7398.599999999999
], ],
"Latitude (deg)": 30.0 "Latitude (deg)": 30.0
}, },
"C5": { "C5": {
"Distance (km)": 9148.52, "Distance (km)": 9148.52,
"Amount (tonne)": [ "Amount (tonne)": [
510.3299999999999, 510.33,
510.3299999999999 510.33
],
"Transportation energy (J)": [
560251.705392,
513564.06327600003
], ],
"Transportation cost ($)": [ "Transportation cost ($)": [
70031.46317399999, 70031.463174,
70031.46317399999 70031.463174
], ],
"Longitude (deg)": 92.0, "Longitude (deg)": 92.0,
"Variable operating cost ($)": [ "Variable operating cost ($)": [
15309.899999999998, 15309.9,
15309.899999999998 15309.9
], ],
"Latitude (deg)": 32.0 "Latitude (deg)": 32.0
}, },
@ -227,6 +261,10 @@
30.08, 30.08,
30.08 30.08
], ],
"Transportation energy (J)": [
29603.087615999993,
27136.163647999994
],
"Transportation cost ($)": [ "Transportation cost ($)": [
3700.385951999999, 3700.385951999999,
3700.385951999999 3700.385951999999
@ -242,6 +280,34 @@
} }
}, },
"L2": { "L2": {
"Opening cost ($)": [
1000.0,
0.0
],
"Expansion cost ($)": [
0.0,
3364.776
],
"Longitude (deg)": 0.5,
"Energy (GJ)": [
448.6368,
411.2504
],
"Total output": {
"P2": [
747.7280000000001,
747.7280000000001
],
"P3": [
1869.32,
1869.32
]
},
"Capacity (tonne)": [
3738.64,
3738.64
],
"Latitude (deg)": 0.5,
"Output": { "Output": {
"Send": { "Send": {
"P2": { "P2": {
@ -249,8 +315,8 @@
"L4": { "L4": {
"Distance (km)": 43.35, "Distance (km)": 43.35,
"Amount (tonne)": [ "Amount (tonne)": [
747.728, 747.7280000000001,
747.728 747.7280000000001
], ],
"Longitude (deg)": 0.2, "Longitude (deg)": 0.2,
"Latitude (deg)": 0.75 "Latitude (deg)": 0.75
@ -277,34 +343,10 @@
3738.64, 3738.64,
3738.64 3738.64
], ],
"Total output": {
"P2": [
747.728,
747.728
],
"P3": [
1869.32,
1869.32
]
},
"Expansion cost ($)": [
0.0,
3364.7759999999994
],
"Capacity (tonne)": [
3738.6399999999994,
3738.6399999999994
],
"Fixed operating cost ($)": [ "Fixed operating cost ($)": [
50.0, 50.0,
50.0 50.0
], ],
"Longitude (deg)": 0.5,
"Latitude (deg)": 0.5,
"Opening cost ($)": [
999.9999999999999,
0.0
],
"Input": { "Input": {
"Origin": { "Origin": {
"C1": { "C1": {
@ -313,6 +355,10 @@
934.56, 934.56,
934.56 934.56
], ],
"Transportation energy (J)": [
114103.047168,
104594.459904
],
"Transportation cost ($)": [ "Transportation cost ($)": [
14262.880895999999, 14262.880895999999,
14262.880895999999 14262.880895999999
@ -330,6 +376,10 @@
198.95, 198.95,
198.95 198.95
], ],
"Transportation energy (J)": [
51698.430779999995,
47390.228214999996
],
"Transportation cost ($)": [ "Transportation cost ($)": [
6462.303847499999, 6462.303847499999,
6462.303847499999 6462.303847499999
@ -347,6 +397,10 @@
706.17, 706.17,
706.17 706.17
], ],
"Transportation energy (J)": [
459386.18243999995,
421104.00057
],
"Transportation cost ($)": [ "Transportation cost ($)": [
57423.272805, 57423.272805,
57423.272805 57423.272805
@ -364,6 +418,10 @@
471.66, 471.66,
471.66 471.66
], ],
"Transportation energy (J)": [
373301.15558400005,
342192.72595200007
],
"Transportation cost ($)": [ "Transportation cost ($)": [
46662.64444800001, 46662.64444800001,
46662.64444800001 46662.64444800001
@ -381,6 +439,10 @@
536.52, 536.52,
536.52 536.52
], ],
"Transportation energy (J)": [
387204.123312,
354937.113036
],
"Transportation cost ($)": [ "Transportation cost ($)": [
48400.515413999994, 48400.515413999994,
48400.515413999994 48400.515413999994
@ -398,6 +460,10 @@
352.19, 352.19,
352.19 352.19
], ],
"Transportation energy (J)": [
118425.43713599998,
108556.65070799999
],
"Transportation cost ($)": [ "Transportation cost ($)": [
14803.179642, 14803.179642,
14803.179642 14803.179642
@ -415,6 +481,10 @@
538.59, 538.59,
538.59 538.59
], ],
"Transportation energy (J)": [
547413.827688,
501796.008714
],
"Transportation cost ($)": [ "Transportation cost ($)": [
68426.728461, 68426.728461,
68426.728461 68426.728461
@ -432,6 +502,34 @@
}, },
"F2": { "F2": {
"L4": { "L4": {
"Opening cost ($)": [
3000.0,
0.0
],
"Expansion cost ($)": [
0.0,
0.0
],
"Longitude (deg)": 0.2,
"Energy (GJ)": [
0.0,
0.0
],
"Total output": {
"P4": [
757.3824000000001,
757.3824000000001
],
"P3": [
47.336400000000005,
47.336400000000005
]
},
"Capacity (tonne)": [
10000.0,
10000.0
],
"Latitude (deg)": 0.75,
"Output": { "Output": {
"Send": { "Send": {
"P4": { "P4": {
@ -464,37 +562,13 @@
"Dispose": {} "Dispose": {}
}, },
"Total input (tonne)": [ "Total input (tonne)": [
946.728, 946.7280000000001,
946.728 946.7280000000001
],
"Total output": {
"P4": [
757.3824000000001,
757.3824000000001
],
"P3": [
47.336400000000005,
47.336400000000005
]
},
"Expansion cost ($)": [
0.0,
0.0
],
"Capacity (tonne)": [
10000.0,
10000.0
], ],
"Fixed operating cost ($)": [ "Fixed operating cost ($)": [
50.0, 50.0,
50.0 50.0
], ],
"Longitude (deg)": 0.2,
"Latitude (deg)": 0.75,
"Opening cost ($)": [
2999.9999999999995,
0.0
],
"Input": { "Input": {
"F1": { "F1": {
"L1": { "L1": {
@ -503,6 +577,10 @@
199.0, 199.0,
199.0 199.0
], ],
"Transportation energy (J)": [
0.0,
0.0
],
"Transportation cost ($)": [ "Transportation cost ($)": [
341.7626, 341.7626,
341.7626 341.7626
@ -517,17 +595,21 @@
"L2": { "L2": {
"Distance (km)": 43.35, "Distance (km)": 43.35,
"Amount (tonne)": [ "Amount (tonne)": [
747.728, 747.7280000000001,
747.728 747.7280000000001
],
"Transportation energy (J)": [
0.0,
0.0
], ],
"Transportation cost ($)": [ "Transportation cost ($)": [
648.280176, 648.2801760000001,
648.280176 648.2801760000001
], ],
"Longitude (deg)": 0.5, "Longitude (deg)": 0.5,
"Variable operating cost ($)": [ "Variable operating cost ($)": [
37386.399999999994, 37386.4,
37386.399999999994 37386.4
], ],
"Latitude (deg)": 0.5 "Latitude (deg)": 0.5
} }
@ -537,30 +619,34 @@
}, },
"F4": { "F4": {
"L6": { "L6": {
"Output": { "Opening cost ($)": [
"Send": {}, 0.0,
"Dispose": {} 0.0
},
"Total input (tonne)": [
2415.6564,
2415.6564
], ],
"Total output": {},
"Expansion cost ($)": [ "Expansion cost ($)": [
0.0, 0.0,
0.0 0.0
], ],
"Longitude (deg)": 50.0,
"Energy (GJ)": [
0.0,
0.0
],
"Total output": {},
"Capacity (tonne)": [ "Capacity (tonne)": [
10000.0, 10000.0,
10000.0 10000.0
], ],
"Fixed operating cost ($)": [
0.0,
0.0
],
"Longitude (deg)": 50.0,
"Latitude (deg)": 50.0, "Latitude (deg)": 50.0,
"Opening cost ($)": [ "Output": {
"Send": {},
"Dispose": {}
},
"Total input (tonne)": [
2415.6564,
2415.6564
],
"Fixed operating cost ($)": [
0.0, 0.0,
0.0 0.0
], ],
@ -572,6 +658,10 @@
499.0, 499.0,
499.0 499.0
], ],
"Transportation energy (J)": [
0.0,
0.0
],
"Transportation cost ($)": [ "Transportation cost ($)": [
42997.644875000005, 42997.644875000005,
42997.644875000005 42997.644875000005
@ -589,6 +679,10 @@
1869.32, 1869.32,
1869.32 1869.32
], ],
"Transportation energy (J)": [
0.0,
0.0
],
"Transportation cost ($)": [ "Transportation cost ($)": [
159567.258185, 159567.258185,
159567.258185 159567.258185
@ -608,6 +702,10 @@
47.336400000000005, 47.336400000000005,
47.336400000000005 47.336400000000005
], ],
"Transportation energy (J)": [
0.0,
0.0
],
"Transportation cost ($)": [ "Transportation cost ($)": [
4038.1676941500004, 4038.1676941500004,
4038.1676941500004 4038.1676941500004

97
instances/solutions/s1.log
Unescape View File

@ -1,53 +1,50 @@
Welcome to the CBC MILP Solver Gurobi Optimizer version 9.0.0 build v9.0.0rc2 (linux64)
Version: 2.10.3 Optimize a model with 124 rows, 141 columns and 400 nonzeros
Build Date: Oct 7 2019 Model fingerprint: 0x46af87f0
Variable types: 117 continuous, 24 integer (24 binary)
command line - Cbc_C_Interface -solve -quit (default strategy 1) Coefficient statistics:
Continuous objective value is 1.86768e+06 - 0.00 seconds Matrix range [5e-02, 2e+04]
Cgl0003I 7 fixed, 0 tightened bounds, 9 strengthened rows, 0 substitutions Objective range [9e-01, 3e+03]
Cgl0003I 0 fixed, 0 tightened bounds, 2 strengthened rows, 0 substitutions Bounds range [1e+00, 1e+08]
Cgl0003I 0 fixed, 0 tightened bounds, 1 strengthened rows, 0 substitutions RHS range [3e+01, 2e+04]
Cgl0004I processed model has 35 rows, 55 columns (9 integer (9 of which binary)) and 211 elements Presolve removed 98 rows and 107 columns
Cbc0012I Integer solution of 1871179 found by DiveCoefficient after 0 iterations and 0 nodes (0.00 seconds) Presolve time: 0.00s
Cbc0038I Full problem 35 rows 55 columns, reduced to 18 rows 37 columns Presolved: 26 rows, 34 columns, 74 nonzeros
Cbc0006I The LP relaxation is infeasible or too expensive Variable types: 28 continuous, 6 integer (6 binary)
Cbc0013I At root node, 0 cuts changed objective from 1869627.3 to 1871179 in 1 passes
Cbc0014I Cut generator 0 (Probing) - 0 row cuts average 0.0 elements, 1 column cuts (1 active) in 0.000 seconds - new frequency is 1 Root relaxation: objective 1.870636e+06, 10 iterations, 0.00 seconds
Cbc0014I Cut generator 1 (Gomory) - 0 row cuts average 0.0 elements, 0 column cuts (0 active) in 0.000 seconds - new frequency is -100
Cbc0014I Cut generator 2 (Knapsack) - 0 row cuts average 0.0 elements, 0 column cuts (0 active) in 0.000 seconds - new frequency is -100 Nodes | Current Node | Objective Bounds | Work
Cbc0014I Cut generator 3 (Clique) - 0 row cuts average 0.0 elements, 0 column cuts (0 active) in 0.000 seconds - new frequency is -100 Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
Cbc0014I Cut generator 4 (MixedIntegerRounding2) - 0 row cuts average 0.0 elements, 0 column cuts (0 active) in 0.000 seconds - new frequency is -100
Cbc0014I Cut generator 5 (FlowCover) - 0 row cuts average 0.0 elements, 0 column cuts (0 active) in 0.000 seconds - new frequency is -100 0 0 1870636.06 0 2 - 1870636.06 - - 0s
Cbc0014I Cut generator 6 (TwoMirCuts) - 0 row cuts average 0.0 elements, 0 column cuts (0 active) in 0.000 seconds - new frequency is -100 H 0 0 1871178.9617 1870636.06 0.03% - 0s
Cbc0014I Cut generator 7 (ZeroHalf) - 0 row cuts average 0.0 elements, 0 column cuts (0 active) in 0.000 seconds - new frequency is -100
Cbc0001I Search completed - best objective 1871178.961662621, took 2 iterations and 0 nodes (0.01 seconds) Explored 1 nodes (10 simplex iterations) in 0.00 seconds
Cbc0035I Maximum depth 0, 5 variables fixed on reduced cost Thread count was 8 (of 80 available processors)
Cuts at root node changed objective from 1.86963e+06 to 1.87118e+06
Probing was tried 1 times and created 1 cuts of which 0 were active after adding rounds of cuts (0.000 seconds) Solution count 1: 1.87118e+06
Gomory was tried 0 times and created 0 cuts of which 0 were active after adding rounds of cuts (0.000 seconds)
Knapsack was tried 0 times and created 0 cuts of which 0 were active after adding rounds of cuts (0.000 seconds) Optimal solution found (tolerance 1.00e-02)
Clique was tried 0 times and created 0 cuts of which 0 were active after adding rounds of cuts (0.000 seconds) Best objective 1.871178961663e+06, best bound 1.870636062997e+06, gap 0.0290%
MixedIntegerRounding2 was tried 0 times and created 0 cuts of which 0 were active after adding rounds of cuts (0.000 seconds) Gurobi Optimizer version 9.0.0 build v9.0.0rc2 (linux64)
FlowCover was tried 0 times and created 0 cuts of which 0 were active after adding rounds of cuts (0.000 seconds) Optimize a model with 124 rows, 141 columns and 400 nonzeros
TwoMirCuts was tried 0 times and created 0 cuts of which 0 were active after adding rounds of cuts (0.000 seconds) Model fingerprint: 0x133a97e7
ZeroHalf was tried 0 times and created 0 cuts of which 0 were active after adding rounds of cuts (0.000 seconds) Coefficient statistics:
Matrix range [5e-02, 2e+04]
Result - Optimal solution found Objective range [9e-01, 3e+03]
Bounds range [1e+00, 1e+08]
Objective value: 1871178.96166262 RHS range [3e+01, 2e+04]
Enumerated nodes: 0 Presolve removed 115 rows and 110 columns
Total iterations: 2 Presolve time: 0.00s
Time (CPU seconds): 0.01 Presolved: 9 rows, 31 columns, 94 nonzeros
Time (Wallclock seconds): 0.01
Iteration Objective Primal Inf. Dual Inf. Time
Total time (CPU seconds): 0.01 (Wallclock seconds): 0.01 0 1.0296026e+06 1.950922e+03 0.000000e+00 0s
7 1.8711790e+06 0.000000e+00 0.000000e+00 0s
Coin0506I Presolve 24 (-100) rows, 38 (-103) columns and 164 (-236) elements
Clp0006I 0 Obj 1590708.5 Primal inf 13041.309 (4) Dual inf 429.24088 (24) Solved in 7 iterations and 0.00 seconds
Clp0006I 16 Obj 1871179 Optimal objective 1.871178962e+06
Clp0000I Optimal - objective value 1871179
Coin0511I After Postsolve, objective 1871179, infeasibilities - dual 0 (0), primal 0 (0)
Clp0032I Optimal objective 1871178.962 - 16 iterations time 0.002, Presolve 0.00
Reading s1.json... Reading s1.json...
Building graph... Building graph...
Building optimization model... Building optimization model...

4
src/model.jl
Unescape View File

@ -315,7 +315,7 @@ function get_solution(model::ManufacturingModel)
"Longitude (deg)" => a.source.location.longitude, "Longitude (deg)" => a.source.location.longitude,
"Transportation cost (\$)" => a.source.product.transportation_cost .* vals .* a.values["distance"], "Transportation cost (\$)" => a.source.product.transportation_cost .* vals .* a.values["distance"],
"Variable operating cost (\$)" => plant.sizes[1].variable_operating_cost .* vals, "Variable operating cost (\$)" => plant.sizes[1].variable_operating_cost .* vals,
"Energy (J)" => vals .* a.values["distance"] .* a.source.product.transportation_energy, "Transportation energy (J)" => vals .* a.values["distance"] .* a.source.product.transportation_energy,
) )
if a.source.location isa CollectionCenter if a.source.location isa CollectionCenter
plant_name = "Origin" plant_name = "Origin"
@ -332,7 +332,7 @@ function get_solution(model::ManufacturingModel)
plant_dict["Total input (tonne)"] += vals plant_dict["Total input (tonne)"] += vals
output["Costs"]["Transportation (\$)"] += dict["Transportation cost (\$)"] output["Costs"]["Transportation (\$)"] += dict["Transportation cost (\$)"]
output["Costs"]["Variable operating (\$)"] += dict["Variable operating cost (\$)"] output["Costs"]["Variable operating (\$)"] += dict["Variable operating cost (\$)"]
output["Energy"]["Transportation (GJ)"] += dict["Energy (J)"] / 1e output["Energy"]["Transportation (GJ)"] += dict["Transportation energy (J)"] / 1e6
end end
plant_dict["Energy (GJ)"] = plant_dict["Total input (tonne)"] .* plant.energy plant_dict["Energy (GJ)"] = plant_dict["Total input (tonne)"] .* plant.energy

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