Abstract | ||
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This paper considers a multi-repairmen problem comprising of M operating machines with W warm standbys (spares). Both operating and warm standby machines are subject to failures. With a coverage probability c, a failed unit is immediately detected and attended by one of R repairmen if available. If the failed unit is not detected with probability 1-c, the system enters an unsafe state and must be cleared by a reboot action. The repairmen are also subject to failures which result in service (repair) interruptions. The failed repairman resumes service after a random period of time. In addition, the repair rate depends on number of failed machines. The entire system is modeled as a finite-state Markov chain and its steady state distribution is obtained by a recursive matrix approach. The major performance measures are evaluated based on this distribution. Under a cost structure, we propose to use the Quasi-Newton method and probabilistic global search Lausanne method to search for the global optimal system parameters. Numerical examples are presented to demonstrate the effectiveness of our approach in solving a highly complex manufacturing system subject to multiple uncertainties. |
Year | DOI | Venue |
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2013 | 10.1016/j.cor.2012.10.004 | Computers & OR |
Keywords | DocType | Volume |
unreliable multi-repairmen,M operating machine,failed repairman,coverage probability,computational analysis,failed machine,W warm standby,failed unit,global optimal system parameter,Quasi-Newton method,entire system,machine repair problem,complex manufacturing system subject | Journal | 40 |
Issue | ISSN | Citations |
3 | 0305-0548 | 4 |
PageRank | References | Authors |
0.52 | 5 | 4 |
Name | Order | Citations | PageRank |
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Jau-Chuan Ke | 1 | 348 | 44.17 |
y l hsu | 2 | 51 | 6.71 |
Tzu-hsin Liu | 3 | 38 | 7.55 |
Zhe George Zhang | 4 | 424 | 44.55 |