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http://dx.doi.org/10.7469/JKSQM.2013.41.3.413

Optimization of Redundancy Allocation in Multi Level System under Target Availability  

Chung, Il-Han (Changwon Center, Defence Agency for Technology and Quality)
Publication Information
Journal of Korean Society for Quality Management / v.41, no.3, 2013 , pp. 413-421 More about this Journal
Abstract
Purpose: System availability and life cycle cost are often used to evaluate the system performance and is influenced by the operation and maintenance characteristic. In this paper, we propose the method to improve life cycle cost and satisfy the target availability through redundancy allocation. Methods: We consider the redundancy is available at all items in multi level system. Thus, we assume that sub-assembly, module, components can be duplicated. Simulation and genetic algorithm are employed to optimize redundancy allocation. Results: Target availability is higher, the life cycle cost is increased. In addition, the items for redundancy are selected at higher level in multi level system if target availability is higher. Conclusion: We could know that target availability affects the duplication number of items and the selection of redundancy items. For further study, we will consider new optimization algorithms to compare with the proposed GA algorithm and improve optimization performance.
Keywords
Redundancy; Availability; Multi Level; Genetic Algorithm;
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Times Cited By KSCI : 1  (Citation Analysis)
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1 Zhao, J. H., Liu, Z., and Dao, M. T. 2007. "Reliability optimization using multi objective ant colony system approaches." Reliability Engineering and System Safety 92:109-120.   DOI   ScienceOn
2 Coit, D. W., and Smith, A. E. 1996. "Reliability optimization of series-parallel systems using a genetic algorithm." IEEE Transactions on Reliability 45(2):254-266.   DOI   ScienceOn
3 Coit, D. W., and Smith, A. E. 1998. "Redundancy allocation to maximize a lower percentile of the system time to failure distribution." IEEE Transactions on Reliability 47(1):79-87.   DOI   ScienceOn
4 Gen, M., and Cheng, R. 1996. Genetic algorithms and engineering design. John Wiley and Sons.
5 Kim, J. Y., Shin, K. S. 2004. "Optimum redundancy design for maximum system reliability: A genetic algorithm approach." Journal of the Korean Society for Quality Management 32(4):125-139.   과학기술학회마을
6 Kuo, W., and Prasad, V. R. 2000. "An annotated overview of system-reliability optimization." IEEE Transactions on Reliability 49(2):176-187.   DOI   ScienceOn
7 Kuo, W., Hwang, C. L., and Tillman, F. A. 1978. "A note on heuristic methods in optimal system reliability." IEEE Transactions on Reliability 27(5):320-324.
8 Misra, K. B. 1972. "Reliability optimization of a series-parallel system." IEEE Transactions on Reliability 21:230-238.
9 Nahas, N., Nourelfath, M., and Ait-Kadi, D. 2007. "Coupling ant colony and the degraded ceiling algorithm for the redundancy allocation problem of series-parallel system." Reliability Engineering and System Safety 92:211-222.   DOI   ScienceOn
10 Woodhouse, C. F. 1972. "Optimal redundancy allocation by dynamic programming." IEEE Transactions on Reliability 21(1):60-62.
11 Yun, W. Y., and Kim, J. W. 2004. "Multi-level redundancy optimization in series systems." Computers & Industrial Engineering 46:337-346.   DOI   ScienceOn
12 Yun, W. Y., and Song, Y. M., and Kim, H. G. 2007. "Multiple multi-level redundancy allocation in series systems." Reliability Engineering and System Safety 92:308-313.   DOI   ScienceOn
13 Yun, W. Y., Chung, I. H., and Kim, H. G. 2006. "Redundancy optimization in multi-level system with SA algorithm." Proceedings of the 2nd Asian International Workshop:185-192.