대한안전경영과학회지 (Journal of the Korea Safety Management & Science)

  • 제19권3호
  • /
  • Pages.89-95
  • /
  • 2017
  • /
  • 1229-6783(pISSN)
  • /
  • 2288-1484(eISSN)
대한안전경영과학회 (Korea Safety Management & Science)
권호 표지
DOI QR코드

DOI QR Code

연장된 운용기간을 활용하는 그룹보전모형

A Group Maintenance Model with Extended Operating Horizon

  • Yoo, Young-Kwan (Department of Business Administration, HALLA University)
  • 투고 : 2017.07.20
  • 심사 : 2017.09.01
  • 발행 : 2017.09.30
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

This paper presents another maintenance policy for a group of units under finite operating horizon. A group of identical units are subject to random failures. Group maintenances are performed to all units together at specified intervals, and the failed units during operation are remained idle until the next group maintenance set-up. Unlike the traditional assumption of infinite operating horizon, we adopt the assumption of the finite operating horizon which reflect the rapid industrial advance and short life cycle of modern times. The units are under operation until the end of the operating horizon. Further, the operation of units are extended to the first group maintenance time after the end of the horizon. The total cost under the proposed maintenance policy is derived. The optimal group maintenance interval and the expected number of group maintenances during the horizon are found. It is shown that the proposed policy is better than the classical group maintenance policy in terms of total cost over the operating horizon. Numerical examples are presented for illustrations.

키워드

참고문헌

  1. Barlow, R. and Proschan, F., (1965), Mathematical Theory of Reliability, New York, Wiley.
  2. Cox, D., (1962), Renewal Theory, London, Methuen.
  3. Barlow, R., and Hunter, L., (1960) "Optimum preventive maintenance policies", Operations Research, 8:90-100. https://doi.org/10.1287/opre.8.1.90
  4. Wang, H., (2002), "A survey of maintenance policies of deteriorating systems", European Journal of Operational Research. 139:469-489. https://doi.org/10.1016/S0377-2217(01)00197-7
  5. Cho, D. and Parlar, M., (1991), "A survey of maintenance models for multi-unit systems", European Journal of Operational Research, 51:1-23. https://doi.org/10.1016/0377-2217(91)90141-H
  6. Okumoto, K. and Elsayed, E., (1983), "An optimum group maintenance policy", Naval Research Logistics Quarterly, 30:667-674. https://doi.org/10.1002/nav.3800300412
  7. Assaf, D., and Shanthikumar, J.G. (1987), 'Optimal group maintenance policies with continuous and periodic inspections', Management Science, 33:1440-1452. https://doi.org/10.1287/mnsc.33.11.1440
  8. Ritchken, P. and Wilson, J., (1990), "(m,T) Group maintenance policies", Management Science, 36:632-639. https://doi.org/10.1287/mnsc.36.5.632
  9. Sheu, S., and Jhang, J. (1996), 'A generalized group maintenance policy', European Journal of Operational Research, 96:232-247.
  10. Park, K., and Yoo, Y. (2004), 'Comparison of group replacement policies under minimal repair', International Journal of Systems Science, 35:179-184. https://doi.org/10.1080/00207720410001691091
  11. Yoo, Y., (2011), "Operating characteristics of a failure counting group replacement policy", International Journal of Systems Science, 42(3):499-506. https://doi.org/10.1080/00207720903580813
  12. Popova, E. and Wilson, J., (1999), "Group replacement policies for parallel systems whose components have phase distributed failure times", Annals of Operations Research, 91:163-189. https://doi.org/10.1023/A:1018941521644
  13. Ross, S., (1983), Stochastic Processes, New York, John Wiley & Sons.
  14. Wells, C. and Bryant, J., (1985), "Optimal preventive maintenance policies for systems with missions of random duration", IIE Transactions, 17:338-345. https://doi.org/10.1080/07408178508975313
  15. Legat, V., Zaludova, A., Cervenka, V., and Jurca, V., (1996), "Contribution to optimization of preventive replacement", Reliability Engineering and System Safety, 51:259-266. https://doi.org/10.1016/0951-8320(96)00124-X
  16. Jiang, R., (2009), "An accurate approximate solution of optimal sequential age replacement policy for a finite-time horizon", Reliability Engineering and System Safety, 94:1245-1250. https://doi.org/10.1016/j.ress.2009.01.003
  17. Nakagawa, T. and Mizutani, S., (2009), "A summary of maintenance policies for a finite interval", Reliability Engineering and System Safety, 94:89-96. https://doi.org/10.1016/j.ress.2007.04.004
  18. Yun, W. and Chung, H., (2000), "Optimum replacement intervals with random time horizon", Journal of Quality in Maintenance Engineering, 6:269-274. https://doi.org/10.1108/13552510010346798
  19. Khatab, A., Rezg, N., and Ait-Kadi, D., (2011), "Optimal replacement with minimal repair policy for a system operating over a random time horizon", Journal of Quality in Maintenance Engineering, 17:415-423. https://doi.org/10.1108/13552511111180203
  20. Khatab, A., Rezg, N., and Ait-Kadi, D., (2011), "Optimum block replacement policy over a random time horizon", Journal of Intelligent Manufacturing, 22(6):885-889. https://doi.org/10.1007/s10845-009-0364-9
  21. Yoo, Y., (2016), "Optimal minimal repair policy under finite and random time horizon", Journal of the Korean Institute of Plant Engineering, 21(4):39-45.
  22. Yoo, Y., (2016), "Extended block replacement model operating over a random time horizon", Journal of the Korea Management Engineers Society, 21(4):61-69.
  23. Yoo, Y., (2017), "Optimum group maintenance policy with finite operating horizon", Submitted to Journal of the Korean Institute of Plant Engineering