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

97
instances/solutions/s1.log
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@ -1,53 +1,50 @@
Welcome to the CBC MILP Solver
Version: 2.10.3
Build Date: Oct 7 2019
command line - Cbc_C_Interface -solve -quit (default strategy 1)
Continuous objective value is 1.86768e+06 - 0.00 seconds
Cgl0003I 7 fixed, 0 tightened bounds, 9 strengthened rows, 0 substitutions
Cgl0003I 0 fixed, 0 tightened bounds, 2 strengthened rows, 0 substitutions
Cgl0003I 0 fixed, 0 tightened bounds, 1 strengthened rows, 0 substitutions
Cgl0004I processed model has 35 rows, 55 columns (9 integer (9 of which binary)) and 211 elements
Cbc0012I Integer solution of 1871179 found by DiveCoefficient after 0 iterations and 0 nodes (0.00 seconds)
Cbc0038I Full problem 35 rows 55 columns, reduced to 18 rows 37 columns
Cbc0006I The LP relaxation is infeasible or too expensive
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
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
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
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
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
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)
Cbc0035I Maximum depth 0, 5 variables fixed on reduced cost
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)
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)
Clique was tried 0 times and created 0 cuts of which 0 were active after adding rounds of cuts (0.000 seconds)
MixedIntegerRounding2 was tried 0 times and created 0 cuts of which 0 were active after adding rounds of cuts (0.000 seconds)
FlowCover was tried 0 times and created 0 cuts of which 0 were active after adding rounds of cuts (0.000 seconds)
TwoMirCuts was tried 0 times and created 0 cuts of which 0 were active after adding rounds of cuts (0.000 seconds)
ZeroHalf was tried 0 times and created 0 cuts of which 0 were active after adding rounds of cuts (0.000 seconds)
Result - Optimal solution found
Objective value: 1871178.96166262
Enumerated nodes: 0
Total iterations: 2
Time (CPU seconds): 0.01
Time (Wallclock seconds): 0.01
Total time (CPU seconds): 0.01 (Wallclock seconds): 0.01
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)
Clp0006I 16 Obj 1871179
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
Gurobi Optimizer version 9.0.0 build v9.0.0rc2 (linux64)
Optimize a model with 124 rows, 141 columns and 400 nonzeros
Model fingerprint: 0x46af87f0
Variable types: 117 continuous, 24 integer (24 binary)
Coefficient statistics:
Matrix range [5e-02, 2e+04]
Objective range [9e-01, 3e+03]
Bounds range [1e+00, 1e+08]
RHS range [3e+01, 2e+04]
Presolve removed 98 rows and 107 columns
Presolve time: 0.00s
Presolved: 26 rows, 34 columns, 74 nonzeros
Variable types: 28 continuous, 6 integer (6 binary)
Root relaxation: objective 1.870636e+06, 10 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1870636.06 0 2 - 1870636.06 - - 0s
H 0 0 1871178.9617 1870636.06 0.03% - 0s
Explored 1 nodes (10 simplex iterations) in 0.00 seconds
Thread count was 8 (of 80 available processors)
Solution count 1: 1.87118e+06
Optimal solution found (tolerance 1.00e-02)
Best objective 1.871178961663e+06, best bound 1.870636062997e+06, gap 0.0290%
Gurobi Optimizer version 9.0.0 build v9.0.0rc2 (linux64)
Optimize a model with 124 rows, 141 columns and 400 nonzeros
Model fingerprint: 0x133a97e7
Coefficient statistics:
Matrix range [5e-02, 2e+04]
Objective range [9e-01, 3e+03]
Bounds range [1e+00, 1e+08]
RHS range [3e+01, 2e+04]
Presolve removed 115 rows and 110 columns
Presolve time: 0.00s
Presolved: 9 rows, 31 columns, 94 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 1.0296026e+06 1.950922e+03 0.000000e+00 0s
7 1.8711790e+06 0.000000e+00 0.000000e+00 0s
Solved in 7 iterations and 0.00 seconds
Optimal objective 1.871178962e+06
Reading s1.json...
Building graph...
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,
"Transportation cost (\$)" => a.source.product.transportation_cost .* vals .* a.values["distance"],
"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
plant_name = "Origin"
@ -332,7 +332,7 @@ function get_solution(model::ManufacturingModel)
plant_dict["Total input (tonne)"] += vals
output["Costs"]["Transportation (\$)"] += dict["Transportation 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
plant_dict["Energy (GJ)"] = plant_dict["Total input (tonne)"] .* plant.energy

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