Research Article
A New Biobjective Model to Optimize Integrated Redundancy Allocation and Reliability-Centered Maintenance Problems in a System Using Metaheuristics
Table 11
Component data for electronic subsystem.
(a) |
| | Choice 1 () | Choice 2 () | Choice 3 () | Choice 4 () | | | | | | | | | | | | |
| 1 | 0.00532 | 0.004 | 2 | 0.000726 | 0.0012 | 1 | 0.00499 | 0.004 | 2 | 0.00818 | 0.007 | 3 | 2 | 0.00818 | 0.007 | 3 | 0.000619 | 0.0001 | 1 | 0.00431 | 0.003 | 2 | — | — | — | 3 | 0.0133 | 0.012 | 3 | 0.0110 | 0.011 | 3 | 0.0124 | 0.011 | 3 | 0.00466 | 0.004 | 2 | 4 | 0.00741 | 0.006 | 2 | 0.0124 | 0.012 | 3 | 0.00683 | 0.006 | 2 | — | — | — | 5 | 0.00619 | 0.005 | 1 | 0.00413 | 0.004 | 2 | 0.00818 | 0.007 | 3 | — | — | — | 6 | 0.00436 | 0.003 | 3 | 0.00567 | 0.005 | 3 | 0.00268 | 0.002 | 2 | 0.000408 | 0.0004 | 1 | 7 | 0.0105 | 0.01 | 3 | 0.00466 | 0.004 | 2 | 0.00394 | 0.003 | 2 | — | — | — | 8 | 0.0105 | 0.01 | 3 | 0.00105 | 0.0006 | 1 | 0.0105 | 0.01 | 3 | — | — | — | 9 | 0.00268 | 0.002 | 2 | 0.000101 | 0.00005 | 1 | 0.00408 | 0.003 | 1 | 0.000943 | 0.00005 | 1 | 10 | 0.0141 | 0.013 | 3 | 0.00683 | 0.006 | 2 | 0.00105 | 0.0005 | 1 | — | — | — | 11 | 0.00394 | 0.003 | 2 | 0.00355 | 0.003 | 2 | 0.00314 | 0.002 | 2 | — | — | — | 12 | 0.00236 | 0.001 | 1 | 0.00769 | 0.007 | 2 | 0.0133 | 0.012 | 3 | 0.0110 | 0.01 | 3 | 13 | 0.00215 | 0.001 | 2 | 0.00536 | 0.005 | 3 | 0.00665 | 0.006 | 3 | — | — | — | 14 | 0.0110 | 0.001 | 3 | 0.00834 | 0.003 | 1 | 0.00355 | 0.003 | 2 | 0.00436 | 0.004 | 3 |
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(b) |
| | Choice 1 () | Choice 2 () | Choice 3 () | Choice 4 () | | | | | | | | | | | | | | | | |
| 1 | 10 | 1 | 3 | 3 | 10 | 1 | 4 | 4 | 20 | 2 | 2 | 2 | 20 | 2 | 5 | 5 | 2 | 20 | 2 | 8 | 8 | 10 | 1 | 10 | 10 | 10 | 1 | 9 | 9 | — | — | — | — | 3 | 20 | 2 | 7 | 7 | 30 | 3 | 5 | 5 | 10 | 1 | 6 | 6 | 40 | 4 | 4 | 4 | 4 | 30 | 3 | 5 | 5 | 40 | 4 | 6 | 6 | 50 | 5 | 4 | 4 | — | — | — | — | 5 | 20 | 2 | 4 | 4 | 20 | 2 | 3 | 3 | 30 | 3 | 5 | 5 | — | — | — | — | 6 | 30 | 3 | 5 | 5 | 30 | 3 | 4 | 4 | 20 | 2 | 5 | 5 | 20 | 2 | 4 | 4 | 7 | 40 | 4 | 7 | 7 | 40 | 4 | 8 | 8 | 50 | 5 | 9 | 9 | — | — | — | — | 8 | 30 | 3 | 4 | 4 | 50 | 5 | 7 | 7 | 60 | 6 | 6 | 6 | — | — | — | — | 9 | 20 | 2 | 8 | 8 | 30 | 3 | 9 | 9 | 40 | 4 | 7 | 7 | 30 | 3 | 8 | 8 | 10 | 40 | 4 | 6 | 6 | 40 | 4 | 5 | 5 | 50 | 5 | 6 | 6 | — | — | — | — | 11 | 30 | 3 | 5 | 5 | 40 | 4 | 6 | 6 | 50 | 5 | 6 | 6 | — | — | — | — | 12 | 20 | 2 | 4 | 4 | 30 | 3 | 5 | 5 | 40 | 4 | 6 | 6 | 50 | 5 | 7 | 7 | 13 | 20 | 2 | 5 | 5 | 30 | 3 | 5 | 5 | 20 | 2 | 6 | 6 | — | — | — | — | 14 | 40 | 4 | 4 | 6 | 40 | 4 | 6 | 7 | 50 | 5 | 6 | 6 | 60 | 6 | 5 | 9 |
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