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0.6817
Solve the Parallel Machine Scheduling Problem (PMSP) to minimize makespan, considering sequence-dependent setup times.
PMSP with 12 Jobs, 2 Machines. Minimize Makespan. === Processing Times === Job 0: M0=18, M1=73 Job 1: M0=98, M1=9 Job 2: M0=33, M1=16 Job 3: M0=64, M1=98 Job 4: M0=58, M1=61 Job 5: M0=84, M1=49 Job 6: M0=27, M1=13 Job 7: M0=63, M1=4 Job 8: M0=50, M1=56 Job 9: M0=78, M1=98 Job 10: M0=99, M1=1 Job 11: M0=90, M1=58 === ...
Solution: M0: Job2 β†’ Job0 β†’ Job4 β†’ Job3 β†’ Job8 M1: Job1 β†’ Job5 β†’ Job7 β†’ Job6 β†’ Job9 β†’ Job11 β†’ Job10 Makespan: 308.0
1
11
3
0.629
Solve the Parallel Machine Scheduling Problem (PMSP) to minimize makespan, considering sequence-dependent setup times.
PMSP with 11 Jobs, 3 Machines. Minimize Makespan. === Processing Times === Job 0: M0=8, M1=12, M2=11 Job 1: M0=47, M1=22, M2=95 Job 2: M0=86, M1=40, M2=33 Job 3: M0=78, M1=28, M2=78 Job 4: M0=5, M1=75, M2=88 Job 5: M0=21, M1=56, M2=82 Job 6: M0=51, M1=93, M2=66 Job 7: M0=48, M1=70, M2=57 Job 8: M0=65, M1=35, M2=5 Job ...
Solution: M0: Job4 β†’ Job9 β†’ Job6 M1: Job3 β†’ Job1 β†’ Job0 β†’ Job5 β†’ Job2 M2: Job7 β†’ Job8 β†’ Job10 Makespan: 179.0
2
17
4
1.7802
Solve the Parallel Machine Scheduling Problem (PMSP) to minimize makespan, considering sequence-dependent setup times.
PMSP with 17 Jobs, 4 Machines. Minimize Makespan. === Processing Times === Job 0: M0=31, M1=76, M2=70, M3=17 Job 1: M0=48, M1=78, M2=61, M3=81 Job 2: M0=75, M1=9, M2=78, M3=2 Job 3: M0=61, M1=34, M2=71, M3=30 Job 4: M0=25, M1=92, M2=61, M3=70 Job 5: M0=71, M1=61, M2=51, M3=82 Job 6: M0=20, M1=30, M2=82, M3=20 Job 7: M...
Solution: M0: Job1 β†’ Job10 β†’ Job4 β†’ Job6 M1: Job7 β†’ Job8 β†’ Job14 β†’ Job3 β†’ Job2 β†’ Job9 M2: Job15 β†’ Job13 β†’ Job5 M3: Job0 β†’ Job16 β†’ Job11 β†’ Job12 Makespan: 170.0
3
9
3
0.533
Solve the Parallel Machine Scheduling Problem (PMSP) to minimize makespan, considering sequence-dependent setup times.
PMSP with 9 Jobs, 3 Machines. Minimize Makespan. === Processing Times === Job 0: M0=31, M1=39, M2=14 Job 1: M0=93, M1=51, M2=62 Job 2: M0=20, M1=12, M2=9 Job 3: M0=3, M1=52, M2=71 Job 4: M0=38, M1=98, M2=8 Job 5: M0=29, M1=67, M2=69 Job 6: M0=47, M1=36, M2=23 Job 7: M0=14, M1=34, M2=28 Job 8: M0=4, M1=83, M2=34 === S...
Solution: M0: Job8 β†’ Job6 β†’ Job5 M1: Job3 β†’ Job7 M2: Job2 β†’ Job4 β†’ Job1 β†’ Job0 Makespan: 129.0
4
19
2
1.0318
Solve the Parallel Machine Scheduling Problem (PMSP) to minimize makespan, considering sequence-dependent setup times.
PMSP with 19 Jobs, 2 Machines. Minimize Makespan. === Processing Times === Job 0: M0=80, M1=33 Job 1: M0=95, M1=46 Job 2: M0=89, M1=95 Job 3: M0=84, M1=68 Job 4: M0=4, M1=60 Job 5: M0=32, M1=84 Job 6: M0=7, M1=21 Job 7: M0=15, M1=48 Job 8: M0=61, M1=32 Job 9: M0=49, M1=70 Job 10: M0=14, M1=74 Job 11: M0=32, M1=2 Job 1...
Solution: M0: Job2 β†’ Job9 β†’ Job7 β†’ Job18 β†’ Job17 β†’ Job4 β†’ Job8 β†’ Job5 β†’ Job14 β†’ Job6 M1: Job15 β†’ Job16 β†’ Job0 β†’ Job12 β†’ Job1 β†’ Job10 β†’ Job11 β†’ Job3 β†’ Job13 Makespan: 455.0
5
11
4
1.1805
Solve the Parallel Machine Scheduling Problem (PMSP) to minimize makespan, considering sequence-dependent setup times.
PMSP with 11 Jobs, 4 Machines. Minimize Makespan. === Processing Times === Job 0: M0=74, M1=11, M2=63, M3=98 Job 1: M0=34, M1=5, M2=1, M3=19 Job 2: M0=85, M1=76, M2=61, M3=98 Job 3: M0=95, M1=48, M2=41, M3=99 Job 4: M0=3, M1=35, M2=63, M3=26 Job 5: M0=94, M1=53, M2=69, M3=70 Job 6: M0=88, M1=13, M2=25, M3=73 Job 7: M0...
Solution: M0: Job4 β†’ Job0 β†’ Job10 M1: Job5 β†’ Job3 M2: Job1 β†’ Job2 β†’ Job6 M3: Job8 β†’ Job7 β†’ Job9 Makespan: 148.0
6
15
2
0.8311
Solve the Parallel Machine Scheduling Problem (PMSP) to minimize makespan, considering sequence-dependent setup times.
PMSP with 15 Jobs, 2 Machines. Minimize Makespan. === Processing Times === Job 0: M0=42, M1=20 Job 1: M0=51, M1=84 Job 2: M0=7, M1=10 Job 3: M0=69, M1=13 Job 4: M0=47, M1=75 Job 5: M0=8, M1=65 Job 6: M0=28, M1=5 Job 7: M0=12, M1=56 Job 8: M0=54, M1=9 Job 9: M0=31, M1=12 Job 10: M0=71, M1=55 Job 11: M0=8, M1=73 Job 12:...
Solution: M0: Job11 β†’ Job12 β†’ Job1 β†’ Job13 β†’ Job8 β†’ Job5 β†’ Job4 M1: Job3 β†’ Job10 β†’ Job14 β†’ Job7 β†’ Job6 β†’ Job9 β†’ Job0 β†’ Job2 Makespan: 320.0
7
16
2
0.8827
Solve the Parallel Machine Scheduling Problem (PMSP) to minimize makespan, considering sequence-dependent setup times.
PMSP with 16 Jobs, 2 Machines. Minimize Makespan. === Processing Times === Job 0: M0=30, M1=48 Job 1: M0=49, M1=17 Job 2: M0=25, M1=91 Job 3: M0=6, M1=11 Job 4: M0=18, M1=32 Job 5: M0=65, M1=27 Job 6: M0=52, M1=83 Job 7: M0=4, M1=59 Job 8: M0=63, M1=59 Job 9: M0=50, M1=64 Job 10: M0=74, M1=25 Job 11: M0=52, M1=12 Job ...
Solution: M0: Job2 β†’ Job6 β†’ Job0 β†’ Job9 β†’ Job7 β†’ Job8 β†’ Job4 M1: Job5 β†’ Job15 β†’ Job10 β†’ Job1 β†’ Job13 β†’ Job11 β†’ Job12 β†’ Job14 β†’ Job3 Makespan: 341.0
8
6
4
0.6858
Solve the Parallel Machine Scheduling Problem (PMSP) to minimize makespan, considering sequence-dependent setup times.
PMSP with 6 Jobs, 4 Machines. Minimize Makespan. === Processing Times === Job 0: M0=60, M1=79, M2=48, M3=35 Job 1: M0=18, M1=24, M2=87, M3=1 Job 2: M0=44, M1=65, M2=60, M3=78 Job 3: M0=11, M1=43, M2=71, M3=79 Job 4: M0=90, M1=6, M2=94, M3=49 Job 5: M0=22, M1=91, M2=58, M3=93 === Setup Times === [Machine 0] J0β†’J1=55, ...
Solution: M0: Job5 β†’ Job3 M1: Job2 M2: Job0 M3: Job1 β†’ Job4 Makespan: 65.0
9
13
3
0.7348
Solve the Parallel Machine Scheduling Problem (PMSP) to minimize makespan, considering sequence-dependent setup times.
PMSP with 13 Jobs, 3 Machines. Minimize Makespan. === Processing Times === Job 0: M0=74, M1=5, M2=55 Job 1: M0=62, M1=74, M2=2 Job 2: M0=27, M1=60, M2=63 Job 3: M0=36, M1=84, M2=21 Job 4: M0=5, M1=67, M2=63 Job 5: M0=42, M1=10, M2=32 Job 6: M0=96, M1=47, M2=6 Job 7: M0=54, M1=18, M2=78 Job 8: M0=46, M1=49, M2=54 Job 9...
Solution: M0: Job11 β†’ Job12 β†’ Job4 β†’ Job9 M1: Job0 β†’ Job5 β†’ Job10 β†’ Job7 M2: Job3 β†’ Job2 β†’ Job1 β†’ Job8 β†’ Job6 Makespan: 193.0
10
7
3
0.432
Solve the Parallel Machine Scheduling Problem (PMSP) to minimize makespan, considering sequence-dependent setup times.
PMSP with 7 Jobs, 3 Machines. Minimize Makespan. === Processing Times === Job 0: M0=58, M1=72, M2=60 Job 1: M0=58, M1=66, M2=76 Job 2: M0=25, M1=24, M2=66 Job 3: M0=61, M1=81, M2=79 Job 4: M0=24, M1=13, M2=58 Job 5: M0=39, M1=19, M2=12 Job 6: M0=69, M1=89, M2=82 === Setup Times === [Machine 0] J0β†’J1=6, J0β†’J2=77, J0β†’J...
Solution: M0: Job1 β†’ Job6 M1: Job0 β†’ Job3 M2: Job4 β†’ Job2 β†’ Job5 Makespan: 169.0
11
10
4
1.0793
Solve the Parallel Machine Scheduling Problem (PMSP) to minimize makespan, considering sequence-dependent setup times.
PMSP with 10 Jobs, 4 Machines. Minimize Makespan. === Processing Times === Job 0: M0=61, M1=35, M2=85, M3=68 Job 1: M0=86, M1=45, M2=19, M3=49 Job 2: M0=2, M1=48, M2=62, M3=36 Job 3: M0=83, M1=59, M2=89, M3=77 Job 4: M0=30, M1=72, M2=1, M3=85 Job 5: M0=80, M1=19, M2=57, M3=48 Job 6: M0=21, M1=44, M2=27, M3=8 Job 7: M0...
Solution: M0: Job2 β†’ Job3 M1: Job9 β†’ Job0 β†’ Job6 M2: Job7 β†’ Job5 β†’ Job4 M3: Job8 β†’ Job1 Makespan: 108.0
12
13
2
0.7308
Solve the Parallel Machine Scheduling Problem (PMSP) to minimize makespan, considering sequence-dependent setup times.
PMSP with 13 Jobs, 2 Machines. Minimize Makespan. === Processing Times === Job 0: M0=34, M1=38 Job 1: M0=88, M1=88 Job 2: M0=24, M1=84 Job 3: M0=30, M1=86 Job 4: M0=19, M1=29 Job 5: M0=83, M1=94 Job 6: M0=24, M1=17 Job 7: M0=10, M1=69 Job 8: M0=28, M1=96 Job 9: M0=38, M1=4 Job 10: M0=56, M1=17 Job 11: M0=88, M1=78 Job...
Solution: M0: Job8 β†’ Job3 β†’ Job12 β†’ Job5 β†’ Job7 β†’ Job6 β†’ Job2 M1: Job10 β†’ Job0 β†’ Job9 β†’ Job1 β†’ Job11 β†’ Job4 Makespan: 348.0
13
14
2
0.782
Solve the Parallel Machine Scheduling Problem (PMSP) to minimize makespan, considering sequence-dependent setup times.
PMSP with 14 Jobs, 2 Machines. Minimize Makespan. === Processing Times === Job 0: M0=14, M1=79 Job 1: M0=90, M1=97 Job 2: M0=84, M1=68 Job 3: M0=32, M1=35 Job 4: M0=95, M1=33 Job 5: M0=38, M1=94 Job 6: M0=10, M1=85 Job 7: M0=58, M1=39 Job 8: M0=60, M1=88 Job 9: M0=51, M1=51 Job 10: M0=16, M1=34 Job 11: M0=29, M1=41 Jo...
Solution: M0: Job3 β†’ Job1 β†’ Job6 β†’ Job9 β†’ Job12 β†’ Job0 β†’ Job10 β†’ Job5 M1: Job4 β†’ Job7 β†’ Job8 β†’ Job2 β†’ Job11 β†’ Job13 Makespan: 390.0
14
8
4
0.8818
Solve the Parallel Machine Scheduling Problem (PMSP) to minimize makespan, considering sequence-dependent setup times.
PMSP with 8 Jobs, 4 Machines. Minimize Makespan. === Processing Times === Job 0: M0=27, M1=2, M2=67, M3=95 Job 1: M0=5, M1=21, M2=31, M3=3 Job 2: M0=8, M1=88, M2=19, M3=89 Job 3: M0=48, M1=31, M2=15, M3=44 Job 4: M0=60, M1=91, M2=46, M3=36 Job 5: M0=51, M1=34, M2=45, M3=30 Job 6: M0=27, M1=46, M2=41, M3=29 Job 7: M0=4...
Solution: M0: Job0 β†’ Job7 β†’ Job1 M1: Job5 β†’ Job3 M2: Job2 M3: Job4 β†’ Job6 Makespan: 93.0
15
20
2
1.0821
Solve the Parallel Machine Scheduling Problem (PMSP) to minimize makespan, considering sequence-dependent setup times.
PMSP with 20 Jobs, 2 Machines. Minimize Makespan. === Processing Times === Job 0: M0=47, M1=61 Job 1: M0=62, M1=37 Job 2: M0=54, M1=30 Job 3: M0=58, M1=1 Job 4: M0=53, M1=85 Job 5: M0=92, M1=34 Job 6: M0=31, M1=82 Job 7: M0=29, M1=2 Job 8: M0=38, M1=39 Job 9: M0=43, M1=86 Job 10: M0=19, M1=96 Job 11: M0=78, M1=40 Job ...
Solution: M0: Job6 β†’ Job9 β†’ Job14 β†’ Job15 β†’ Job17 β†’ Job12 β†’ Job0 β†’ Job4 β†’ Job10 M1: Job8 β†’ Job5 β†’ Job16 β†’ Job13 β†’ Job2 β†’ Job18 β†’ Job1 β†’ Job11 β†’ Job7 β†’ Job19 β†’ Job3 Makespan: 458.0
16
15
2
0.8338
Solve the Parallel Machine Scheduling Problem (PMSP) to minimize makespan, considering sequence-dependent setup times.
PMSP with 15 Jobs, 2 Machines. Minimize Makespan. === Processing Times === Job 0: M0=67, M1=54 Job 1: M0=39, M1=47 Job 2: M0=38, M1=23 Job 3: M0=99, M1=91 Job 4: M0=91, M1=70 Job 5: M0=85, M1=36 Job 6: M0=15, M1=4 Job 7: M0=32, M1=50 Job 8: M0=96, M1=54 Job 9: M0=33, M1=65 Job 10: M0=41, M1=82 Job 11: M0=88, M1=93 Job...
Solution: M0: Job11 β†’ Job3 β†’ Job7 β†’ Job12 β†’ Job9 β†’ Job6 β†’ Job10 M1: Job2 β†’ Job13 β†’ Job14 β†’ Job8 β†’ Job4 β†’ Job1 β†’ Job5 β†’ Job0 Makespan: 418.0
17
6
2
0.3853
Solve the Parallel Machine Scheduling Problem (PMSP) to minimize makespan, considering sequence-dependent setup times.
PMSP with 6 Jobs, 2 Machines. Minimize Makespan. === Processing Times === Job 0: M0=24, M1=16 Job 1: M0=85, M1=58 Job 2: M0=43, M1=31 Job 3: M0=26, M1=63 Job 4: M0=81, M1=64 Job 5: M0=24, M1=62 === Setup Times === [Machine 0] J0β†’J1=38, J0β†’J2=59, J0β†’J3=114, J0β†’J4=34, J0β†’J5=26 J1β†’J0=33, J1β†’J2=116, J1β†’J3=89, J1β†’J4=16, J...
Solution: M0: Job0 β†’ Job4 β†’ Job2 M1: Job1 β†’ Job5 β†’ Job3 Makespan: 208.0
18
6
2
0.4064
Solve the Parallel Machine Scheduling Problem (PMSP) to minimize makespan, considering sequence-dependent setup times.
PMSP with 6 Jobs, 2 Machines. Minimize Makespan. === Processing Times === Job 0: M0=87, M1=6 Job 1: M0=67, M1=16 Job 2: M0=66, M1=26 Job 3: M0=51, M1=45 Job 4: M0=68, M1=38 Job 5: M0=75, M1=19 === Setup Times === [Machine 0] J0β†’J1=77, J0β†’J2=34, J0β†’J3=14, J0β†’J4=34, J0β†’J5=53 J1β†’J0=42, J1β†’J2=124, J1β†’J3=35, J1β†’J4=107, J1...
Solution: M0: Job4 β†’ Job1 M1: Job5 β†’ Job2 β†’ Job0 β†’ Job3 Makespan: 170.0
19
9
2
0.527
Solve the Parallel Machine Scheduling Problem (PMSP) to minimize makespan, considering sequence-dependent setup times.
PMSP with 9 Jobs, 2 Machines. Minimize Makespan. === Processing Times === Job 0: M0=93, M1=88 Job 1: M0=99, M1=20 Job 2: M0=34, M1=87 Job 3: M0=82, M1=13 Job 4: M0=42, M1=74 Job 5: M0=22, M1=4 Job 6: M0=53, M1=53 Job 7: M0=10, M1=14 Job 8: M0=17, M1=41 === Setup Times === [Machine 0] J0β†’J1=61, J0β†’J2=122, J0β†’J3=75, J0...
Solution: M0: Job4 β†’ Job6 β†’ Job2 β†’ Job7 M1: Job8 β†’ Job5 β†’ Job3 β†’ Job1 β†’ Job0 Makespan: 209.0
20
17
2
0.9273
Solve the Parallel Machine Scheduling Problem (PMSP) to minimize makespan, considering sequence-dependent setup times.
PMSP with 17 Jobs, 2 Machines. Minimize Makespan. === Processing Times === Job 0: M0=22, M1=54 Job 1: M0=89, M1=54 Job 2: M0=82, M1=37 Job 3: M0=62, M1=28 Job 4: M0=61, M1=66 Job 5: M0=24, M1=65 Job 6: M0=68, M1=31 Job 7: M0=1, M1=2 Job 8: M0=48, M1=75 Job 9: M0=55, M1=9 Job 10: M0=19, M1=97 Job 11: M0=30, M1=30 Job 1...
Solution: M0: Job10 β†’ Job13 β†’ Job5 β†’ Job8 β†’ Job15 β†’ Job7 β†’ Job4 β†’ Job16 M1: Job12 β†’ Job6 β†’ Job0 β†’ Job3 β†’ Job9 β†’ Job11 β†’ Job14 β†’ Job1 β†’ Job2 Makespan: 403.0
21
8
2
0.482
Solve the Parallel Machine Scheduling Problem (PMSP) to minimize makespan, considering sequence-dependent setup times.
PMSP with 8 Jobs, 2 Machines. Minimize Makespan. === Processing Times === Job 0: M0=18, M1=32 Job 1: M0=4, M1=79 Job 2: M0=58, M1=24 Job 3: M0=90, M1=16 Job 4: M0=95, M1=84 Job 5: M0=45, M1=11 Job 6: M0=30, M1=35 Job 7: M0=7, M1=41 === Setup Times === [Machine 0] J0β†’J1=77, J0β†’J2=23, J0β†’J3=120, J0β†’J4=71, J0β†’J5=88, J0β†’...
Solution: M0: Job1 β†’ Job4 β†’ Job7 β†’ Job6 M1: Job5 β†’ Job0 β†’ Job2 β†’ Job3 Makespan: 193.0
22
12
5
1.2775
Solve the Parallel Machine Scheduling Problem (PMSP) to minimize makespan, considering sequence-dependent setup times.
PMSP with 12 Jobs, 5 Machines. Minimize Makespan. === Processing Times === Job 0: M0=38, M1=11, M2=3, M3=76, M4=40 Job 1: M0=55, M1=49, M2=68, M3=46, M4=17 Job 2: M0=93, M1=25, M2=35, M3=57, M4=2 Job 3: M0=29, M1=80, M2=59, M3=4, M4=14 Job 4: M0=11, M1=91, M2=64, M3=54, M4=3 Job 5: M0=66, M1=81, M2=94, M3=56, M4=46 Jo...
Solution: M0: Job10 β†’ Job1 β†’ Job4 M1: Job9 M2: Job0 β†’ Job7 β†’ Job2 M3: Job3 β†’ Job5 β†’ Job6 M4: Job11 β†’ Job8 Makespan: 93.0
23
13
2
0.7293
Solve the Parallel Machine Scheduling Problem (PMSP) to minimize makespan, considering sequence-dependent setup times.
PMSP with 13 Jobs, 2 Machines. Minimize Makespan. === Processing Times === Job 0: M0=92, M1=50 Job 1: M0=75, M1=24 Job 2: M0=28, M1=22 Job 3: M0=25, M1=22 Job 4: M0=86, M1=88 Job 5: M0=12, M1=91 Job 6: M0=97, M1=20 Job 7: M0=91, M1=37 Job 8: M0=93, M1=99 Job 9: M0=2, M1=57 Job 10: M0=60, M1=93 Job 11: M0=82, M1=15 Job...
Solution: M0: Job3 β†’ Job12 β†’ Job9 β†’ Job5 β†’ Job2 β†’ Job4 β†’ Job10 M1: Job1 β†’ Job7 β†’ Job8 β†’ Job11 β†’ Job0 β†’ Job6 Makespan: 346.0
24
10
3
0.5806
Solve the Parallel Machine Scheduling Problem (PMSP) to minimize makespan, considering sequence-dependent setup times.
PMSP with 10 Jobs, 3 Machines. Minimize Makespan. === Processing Times === Job 0: M0=49, M1=99, M2=2 Job 1: M0=28, M1=40, M2=82 Job 2: M0=61, M1=6, M2=97 Job 3: M0=33, M1=5, M2=40 Job 4: M0=73, M1=55, M2=13 Job 5: M0=76, M1=16, M2=74 Job 6: M0=88, M1=94, M2=26 Job 7: M0=66, M1=80, M2=41 Job 8: M0=24, M1=71, M2=46 Job ...
Solution: M0: Job8 β†’ Job1 β†’ Job9 M1: Job5 β†’ Job2 β†’ Job3 M2: Job4 β†’ Job0 β†’ Job7 β†’ Job6 Makespan: 144.0
25
12
3
0.6782
Solve the Parallel Machine Scheduling Problem (PMSP) to minimize makespan, considering sequence-dependent setup times.
PMSP with 12 Jobs, 3 Machines. Minimize Makespan. === Processing Times === Job 0: M0=96, M1=26, M2=85 Job 1: M0=27, M1=56, M2=77 Job 2: M0=70, M1=8, M2=17 Job 3: M0=98, M1=62, M2=6 Job 4: M0=94, M1=88, M2=80 Job 5: M0=65, M1=22, M2=82 Job 6: M0=55, M1=32, M2=96 Job 7: M0=53, M1=92, M2=26 Job 8: M0=89, M1=4, M2=86 Job ...
Solution: M0: Job6 β†’ Job10 β†’ Job7 M1: Job5 β†’ Job2 β†’ Job9 β†’ Job0 β†’ Job8 β†’ Job11 M2: Job1 β†’ Job4 β†’ Job3 Makespan: 172.0
26
8
5
0.88
Solve the Parallel Machine Scheduling Problem (PMSP) to minimize makespan, considering sequence-dependent setup times.
PMSP with 8 Jobs, 5 Machines. Minimize Makespan. === Processing Times === Job 0: M0=84, M1=62, M2=90, M3=36, M4=37 Job 1: M0=26, M1=10, M2=9, M3=33, M4=70 Job 2: M0=43, M1=33, M2=48, M3=52, M4=24 Job 3: M0=32, M1=31, M2=63, M3=10, M4=94 Job 4: M0=82, M1=74, M2=84, M3=11, M4=79 Job 5: M0=55, M1=54, M2=95, M3=7, M4=85 J...
Solution: M0: Job5 M1: Job7 β†’ Job1 M2: Job3 β†’ Job6 M3: Job4 β†’ Job0 M4: Job2 Makespan: 74.0
27
7
2
0.4306
Solve the Parallel Machine Scheduling Problem (PMSP) to minimize makespan, considering sequence-dependent setup times.
PMSP with 7 Jobs, 2 Machines. Minimize Makespan. === Processing Times === Job 0: M0=15, M1=96 Job 1: M0=17, M1=70 Job 2: M0=77, M1=92 Job 3: M0=23, M1=29 Job 4: M0=17, M1=82 Job 5: M0=60, M1=98 Job 6: M0=54, M1=27 === Setup Times === [Machine 0] J0β†’J1=28, J0β†’J2=19, J0β†’J3=51, J0β†’J4=21, J0β†’J5=108, J0β†’J6=123 J1β†’J0=17, J...
Solution: M0: Job3 β†’ Job2 β†’ Job1 β†’ Job0 β†’ Job4 M1: Job6 β†’ Job5 Makespan: 213.0
28
15
2
0.8296
Solve the Parallel Machine Scheduling Problem (PMSP) to minimize makespan, considering sequence-dependent setup times.
PMSP with 15 Jobs, 2 Machines. Minimize Makespan. === Processing Times === Job 0: M0=71, M1=10 Job 1: M0=45, M1=77 Job 2: M0=78, M1=37 Job 3: M0=12, M1=66 Job 4: M0=45, M1=51 Job 5: M0=54, M1=3 Job 6: M0=5, M1=14 Job 7: M0=57, M1=84 Job 8: M0=29, M1=45 Job 9: M0=11, M1=64 Job 10: M0=43, M1=78 Job 11: M0=70, M1=54 Job ...
Solution: M0: Job9 β†’ Job3 β†’ Job8 β†’ Job10 β†’ Job6 β†’ Job7 β†’ Job14 β†’ Job4 M1: Job5 β†’ Job0 β†’ Job12 β†’ Job2 β†’ Job13 β†’ Job1 β†’ Job11 Makespan: 327.0
29
14
5
1.5048
Solve the Parallel Machine Scheduling Problem (PMSP) to minimize makespan, considering sequence-dependent setup times.
PMSP with 14 Jobs, 5 Machines. Minimize Makespan. === Processing Times === Job 0: M0=70, M1=38, M2=79, M3=4, M4=80 Job 1: M0=84, M1=27, M2=33, M3=7, M4=51 Job 2: M0=49, M1=83, M2=18, M3=11, M4=60 Job 3: M0=1, M1=67, M2=32, M3=4, M4=10 Job 4: M0=21, M1=77, M2=68, M3=52, M4=84 Job 5: M0=45, M1=69, M2=9, M3=52, M4=4 Job ...
Solution: M0: Job2 β†’ Job4 M1: Job12 β†’ Job10 M2: Job1 β†’ Job7 β†’ Job8 M3: Job0 β†’ Job6 β†’ Job11 β†’ Job3 M4: Job9 β†’ Job13 β†’ Job5 Makespan: 105.0
30
10
3
0.5841
Solve the Parallel Machine Scheduling Problem (PMSP) to minimize makespan, considering sequence-dependent setup times.
PMSP with 10 Jobs, 3 Machines. Minimize Makespan. === Processing Times === Job 0: M0=2, M1=61, M2=15 Job 1: M0=98, M1=51, M2=19 Job 2: M0=88, M1=6, M2=18 Job 3: M0=15, M1=69, M2=30 Job 4: M0=92, M1=97, M2=18 Job 5: M0=19, M1=95, M2=5 Job 6: M0=85, M1=8, M2=18 Job 7: M0=30, M1=69, M2=94 Job 8: M0=58, M1=68, M2=53 Job 9...
Solution: M0: Job7 β†’ Job6 β†’ Job0 M1: Job2 β†’ Job3 β†’ Job1 M2: Job9 β†’ Job8 β†’ Job5 β†’ Job4 Makespan: 159.0
31
11
3
0.632
Solve the Parallel Machine Scheduling Problem (PMSP) to minimize makespan, considering sequence-dependent setup times.
PMSP with 11 Jobs, 3 Machines. Minimize Makespan. === Processing Times === Job 0: M0=10, M1=28, M2=19 Job 1: M0=39, M1=90, M2=31 Job 2: M0=64, M1=4, M2=93 Job 3: M0=5, M1=13, M2=42 Job 4: M0=66, M1=43, M2=8 Job 5: M0=67, M1=89, M2=61 Job 6: M0=48, M1=77, M2=1 Job 7: M0=70, M1=97, M2=17 Job 8: M0=68, M1=2, M2=63 Job 9:...
Solution: M0: Job0 β†’ Job3 β†’ Job5 M1: Job10 β†’ Job4 β†’ Job8 β†’ Job2 M2: Job9 β†’ Job1 β†’ Job7 β†’ Job6 Makespan: 112.0
32
15
3
0.8312
Solve the Parallel Machine Scheduling Problem (PMSP) to minimize makespan, considering sequence-dependent setup times.
PMSP with 15 Jobs, 3 Machines. Minimize Makespan. === Processing Times === Job 0: M0=74, M1=22, M2=81 Job 1: M0=30, M1=36, M2=62 Job 2: M0=84, M1=69, M2=68 Job 3: M0=24, M1=84, M2=79 Job 4: M0=65, M1=42, M2=88 Job 5: M0=68, M1=62, M2=57 Job 6: M0=37, M1=87, M2=82 Job 7: M0=10, M1=39, M2=53 Job 8: M0=40, M1=67, M2=64 J...
Solution: M0: Job13 β†’ Job8 β†’ Job11 β†’ Job3 β†’ Job6 β†’ Job9 M1: Job4 β†’ Job0 β†’ Job1 β†’ Job2 β†’ Job14 M2: Job7 β†’ Job5 β†’ Job10 β†’ Job12 Makespan: 251.0
33
17
3
0.9497
Solve the Parallel Machine Scheduling Problem (PMSP) to minimize makespan, considering sequence-dependent setup times.
PMSP with 17 Jobs, 3 Machines. Minimize Makespan. === Processing Times === Job 0: M0=68, M1=46, M2=75 Job 1: M0=4, M1=30, M2=4 Job 2: M0=50, M1=47, M2=9 Job 3: M0=55, M1=40, M2=44 Job 4: M0=13, M1=75, M2=66 Job 5: M0=20, M1=13, M2=36 Job 6: M0=45, M1=79, M2=1 Job 7: M0=20, M1=97, M2=68 Job 8: M0=12, M1=8, M2=48 Job 9:...
Solution: M0: Job4 β†’ Job12 β†’ Job7 β†’ Job11 β†’ Job5 M1: Job8 β†’ Job13 β†’ Job3 β†’ Job16 β†’ Job15 β†’ Job10 M2: Job1 β†’ Job9 β†’ Job2 β†’ Job0 β†’ Job14 β†’ Job6 Makespan: 238.0
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