대여장비의 신뢰도 기반 예방보전 정책을 통한 최적 의사결정 과정 개발

Developing the Optimal Decision-Making Process through Preventive Maintenance Policy Based on the Reliability Threshold for Leased Equipment

  • 배기호 (한양대학교 산업경영공학과) ;
  • 이주현 (한양대학교 산업경영공학과) ;
  • 박성환 (한양대학교 산업경영공학과) ;
  • 안선응 (한양대학교 산업경영공학과)
  • Bae, Kiho (Department of Industrial and Management Engineering, Hanyang University) ;
  • Lee, Juhyun (Department of Industrial and Management Engineering, Hanyang University) ;
  • Park, Seonghwan (Department of Industrial and Management Engineering, Hanyang University) ;
  • Ahn, Suneung (Department of Industrial and Management Engineering, Hanyang University)
  • 투고 : 2017.08.04
  • 심사 : 2017.09.12
  • 발행 : 2017.09.25

초록

Purpose: This study proposes the optimal PM (preventive maintenance) policy of leased equipment for lessee's decision-making using two types of reliability condition. Methods: We consider reliability threshold based PM model. Equipment reliability is estimated and used as condition variable. The effect of repair for maintenance is imperfect and represented by age reduction factor. Results: We provide two PM policies. Policy 1 is focused on minimized total cost. This policy guarantees reliability threshold until last maintenance action. Policy 2 focus on maintaining reliability threshold during leased period. The proposed approach provides optimal reliability threshold under number of PM. Through result, we finally construct decision-making process for lessee using reliability threshold and end of reliability. Conclusion: This study provides two PM policy for lessee's decision-making. Through numerical example, we get a result of optimal reliability threshold, number of PM, optimum alternative under lessee's reliability condition.

키워드

참고문헌

  1. Dasgupta, S., Siddarth, S. and Silva-Risso, J. (2007). "To lease or to buy? A structural model of a consumer's vehicle and contract choice decisions". Journal of Marketing Research, Vol. 44, No. 3, pp. 490-502. https://doi.org/10.1509/jmkr.44.3.490
  2. Desai, P. and Purohit, D. (1998). "Leasing and selling: Optimal marketing strategies for a durable goods firm". Management Science, Vol. 44, No. 11, pp. S19-S34. https://doi.org/10.1287/mnsc.44.11.S19
  3. Nisbet, A. and Ward, A. (2001). "Radiotherapy equipment-purchase or lease?". The British journal of radiology, Vol. 74, No. 884, pp. 735-744. https://doi.org/10.1259/bjr.74.884.740735
  4. Ebrahimi, M. and Sadeghi, M. (2013). "Quality management and performance: An annotated review". International Journal of Production Research, Vol. 51, No. 18, pp. 5625-5643. https://doi.org/10.1080/00207543.2013.793426
  5. Schutz, J. and Rezg, N. (2013). "Maintenance strategy for leased equipment". Computers & Industrial Engineering, Vol. 66, No. 3, pp. 593-600. https://doi.org/10.1016/j.cie.2013.05.004
  6. Yeh, R. H., Chang, W. L. and Lo, H.-C., (2010). "Optimal threshold values of age and two-phase maintenance policy for leased equipments using age reduction method". Annals of Operations Research, Vol. 181, No. 1, pp. 171-183. https://doi.org/10.1007/s10479-010-0713-2
  7. Yeh, R. H. and Chang, W. L. (2007). "Optimal threshold value of failure-rate for leased products with preventive maintenance actions". Mathematical and Computer Modelling, Vol. 46, No. 5, pp. 730-737. https://doi.org/10.1016/j.mcm.2006.12.001
  8. Chang, W. L. and Lo, H.-C. (2011). "Joint determination of lease period and preventive maintenance policy for leased equipment with residual value". Computers & Industrial Engineering, Vol. 61, No. 3, pp. 489-496. https://doi.org/10.1016/j.cie.2011.04.003
  9. Jung, K. M. (2012). "Preventive maintenance policy following the expiration of replacement-repair warranty". Journal of Applied Reliability, Vol. 12, No. 2, pp. 57-66.
  10. Jung, K. M. (2014). "Preventive Maintenance Policy Following the Expiration of Extended Warranty Under Replacement-Repair Warranty". Journal of Applied Reliability, Vol. 14, No. 2, pp. 122-128.
  11. Kim, T. H. and Na, M. H. (2011). "A Study on Optimal Preventive Maintenance Policy When Failure Rate is Exponentially Increasing After Repair". Journal of Applied Reliability, Vol. 11, No. 2, pp. 167-176.
  12. Martorell, S., Sanchez, A. and Serradell, V. (1999). "Age-dependent reliability model considering effects of maintenance and working conditions". Reliability Engineering & System Safety, Vol. 64, No. 1, pp. 19-31. https://doi.org/10.1016/S0951-8320(98)00050-7
  13. El-Ferik, S. and Ben-Daya, M. (2006). "Age-based hybrid model for imperfect preventive maintenance". IIE Transactions, Vol. 38, No. 4, pp. 365-375. https://doi.org/10.1080/07408170500232545
  14. Lin, D., Zuo, M. J. and Yam, R. C. (2001). "Sequential imperfect preventive maintenance models with two categories of failure modes". Naval Research Logistics, Vol. 48, No. 2, pp. 172-183. https://doi.org/10.1002/1520-6750(200103)48:2<172::AID-NAV5>3.0.CO;2-5