Journal of Korean Institute of Industrial Engineers (대한산업공학회지)

Korean Institute of Industrial Engineers (대한산업공학회)
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Optimal Preventive Maintenance Period in Complex Systems in Considering Components Reliability Characteristic

하부 구성품의 신뢰도 특성을 고려한 복합 시스템의 최적 예방정비 주기 산출

  • Lee, Youn-Ho (ILS(Integrated Logistics Support) R&D Lab, LIG Nex1) ;
  • Lee, Ik-Do (ILS(Integrated Logistics Support) R&D Lab, LIG Nex1) ;
  • Lee, Dong-Woo (ILS(Integrated Logistics Support) R&D Lab, LIG Nex1) ;
  • Sohn, Ki-Hong (ILS(Integrated Logistics Support) R&D Lab, LIG Nex1)
  • Received : 2011.06.26
  • Accepted : 2011.10.20
  • Published : 2011.12.01
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Abstract

Generally the life-cycle cost of complex systems composed of several sub systems or equipments such as train, aircraft weapon systems is spent much more during operation and maintenance phase than development phase. The maintenance cost for maintaining the availability and extending the life span of systems comprise a large proportion of systems operation cost. The cycle of preventive maintenance affects operation and maintenance cost a lot. In this study we introduce a way minimizing life-cycle cost of systems by calculating more reliable preventive maintenance period than the results of previous study using systems reliability data considered the reliability and failure effect ratio of sub-systems or components. We can solve the preventive maintenance period problem known as NP-Hard as quick as possible by using modified genetic algorithm than using other models introduced in previous study.

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References

  1. Bar-Noy, A., Bhatia, R., Naor, J-S., and Schieber, B. (2002), Minimizing service and operation costs of periodic scheduling, Mathematics of Operations Research, 27(3), 518-544. https://doi.org/10.1287/moor.27.3.518.314
  2. Beasley, D., Bull, D., and Martin, R. (1993), An overview of genetic algorithsm; part 1, fundamentals, University Computing, 15(2), 58-69.
  3. Beasley, D., Bull, D., and Martin, R. (1993), An overview of genetic algorithsm; part 2, research topics, University Computing, 15(4), 170-181.
  4. Ben-Daya, M. and Duffuaa, S.-O. (1995), Maintenance and quality : the missing link, Journal of Quality in Maintenance Engineering, 1(1), 20-26. https://doi.org/10.1108/13552519510083110
  5. Chaudhuri, D. and Sahu, K.-C. (1977), Preventive maintenance intervals for optimal reliability of deteriorating system, IEEE Transactions on Reliability, 26(5), 371-372.
  6. Foong, W.-K., Simpson, A.-R. Maier, H.-R., and Stolp, S. (2008), Ant colony optimization for power plant maintenance scheduling optimization- a five-station hydropower system, Annals of Operations Research, 159(1), 433-450. https://doi.org/10.1007/s10479-007-0277-y
  7. Goldberg, D.-E. (1989), Genetic algorithms in search, optimization and machine learning, Addison Wesley, Boston, Massachusetts.
  8. Ji, G.-Y. (1999), A Study on the Overhaul Cycle Determination with Minimum Maintenance Cost for New System, Dept. of Industrial Engineering Graduate School of Engineering, Changwon, Kyungnam, Korea, 1999.
  9. Jun, C.-H., Park, K.-S., Hwang, W.-E., and Ju, M.-B. (1998), Estimation of Failure Rates and Maintenance Interval under Periodic Maintenance Polices with Minimal Repair at Failure-A Case of K Steelworks, Journal of the Korean Institute of Plant Engineering, 3(1), 217-228.
  10. Lie, C.-H. and Chun, Y.-H. (1986), An algorithm for preventive maintenance policy, IEEE Transactions on Reliability, 35(1), 71-75. https://doi.org/10.1109/TR.1986.4335352
  11. Marseguerra, M. and Zio, E. (2000), Optimizing maintenance and repair policies via a combination of genetic algorithms and Monte Carlo simulation, Reliability Engineering System Safety, 68(1), 69- 83. https://doi.org/10.1016/S0951-8320(00)00007-7
  12. Nakagawa, T. and Kowada, M. (1983), Analysis of a System with Minimal Repair and Its Application to Replacement Policy, European Journal of Operational Research, 12(2), 176-182. https://doi.org/10.1016/0377-2217(83)90221-7
  13. Nakagawa (1988), Sequential imperfect preventive maintenance polices, IEEE Transactions on Reliability, 37(3), 295-298. https://doi.org/10.1109/24.3758
  14. Negnevitsky, M. and Kelareva, G. (1999), Genetic Algorithms for maintenance scheduling in power systems, Proc. 6th Int. Conf. on Neural Information, 2, 447-452.
  15. Seo, K.-K. and Seo, J.-H. (2003), Decision-making Method of Optimum Inspection Interval for Plant Maintenance by Genetic Algorithms, Journal of the Society of Korea Industrial and Systems Engineering, 26(2), 1-8.
  16. Tsai, Y.-T., Wang, K.-S. and Teng, H.-Y. (2001), Optimizing preventive maintenance for mechanical components using genetic algorithms, Reliability Engineering and System Safety, 74(1), 89-97.
  17. Wang, K.-S., Chang, W.-H., Tsai, Y.-T., and Hsu, F.-S. (1996), Using Genetic Algorithm Planning Preventive Replacement of Components in a System, Proc. 13th national Conf. of the Chinese Society of Mechanical Engineers, Taiwan : National Taiwan University, 271-278.

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