Journal of Korean Society of Industrial and Systems Engineering (산업경영시스템학회지)

Society of Korea Industrial and System Engineering (한국산업경영시스템학회)
권호 표지
DOI QR코드

DOI QR Code

Developing a Decision-Making Model to Determine the Preventive Maintenance Schedule for the Leased Equipment

대여 장비의 예방정비 일정 결정을 위한 의사 결정 모델 개발

  • Lee, Ju-hyun (Department of Industrial Management Engineering, Hanyang University ERICA campus) ;
  • Bae, Ki-ho (Department of Industrial Management Engineering, Hanyang University ERICA campus) ;
  • Ahn, Sun-eung (Department of Industrial Management Engineering, Hanyang University ERICA campus)
  • 이주현 (한양대학교 산업경영공학과) ;
  • 배기호 (한양대학교 산업경영공학과) ;
  • 안선응 (한양대학교 산업경영공학과)
  • Received : 2018.03.28
  • Accepted : 2018.05.09
  • Published : 2018.06.30
Download PDF
⟨ Previous Next ⟩

Abstract

As a system complexity increases and technology innovation progresses rapidly, leasing the equipment is considered as an important issue in many engineering areas. In practice, many engineering fields lease the equipment because it is an economical way to lease the equipment rather than to own the equipment. In addition, as the maintenance actions for the equipment are costly and need a specialist, the lessor is responsible for the maintenance actions in most leased contract. Hence, the lessor should establish the optimal maintenance strategy to minimize the maintenance cost. This paper proposes two periodic preventive maintenance policies for the leased equipment. The preventive maintenance action of policy 1 is performed with a periodic interval, in which their intervals are the same until the end of lease period. The other policy is to determine the periodic preventive maintenance interval minimizing total maintenance cost during the lease period. In addition, this paper presents two decision-making models to determine the preventive maintenance strategy for leased equipment based on the lessor's preference between the maintenance cost and the reliability at the end of lease period. The structural properties of the proposed decision-making model are investigated and algorithms to search the optimal maintenance policy that are satisfied by the lessor are provided. A numerical example is provided to illustrate the proposed model. The results show that a maintenance policy minimizing the maintenance cost is selected as a reasonable decision as the lease term becomes shorter. Moreover, the frequent preventive maintenance actions are performed when the minimal repair cost is higher than the preventive maintenance cost, resulting in higher maintenance cost.

Keywords

References

  1. Bae, K.H., Lee, J.H., Park, S.H., and Ahn, S.E., Developing the optimal decision-making process through preventive maintenance policy based on the reliability threshold for leased equipment, Journal of Applied Reliability, 2017, Vol. 17, No. 3, pp. 246-255.
  2. Dasgupta, S., Siddarth, S., and Silva-Risso, J., To lease or to buy? A structural model of a consumer's vehicle and contract choice decisions, Journal of Marketing Research, 2007, Vol. 44, No. 3, pp. 490-502. https://doi.org/10.1509/jmkr.44.3.490
  3. Doyen, L. and Gaudoin, O., Classes of imperfect repair models based on reduction of failure intensity or virtual age, Reliability Engineering and System Safety, 2004, Vol. 84, No. 1, pp. 45-56. https://doi.org/10.1016/S0951-8320(03)00173-X
  4. Goh, H.W., Preventive maintenance policy on large enterprise with cellular manufacturing system, Journal of Society of Korea Industrial and Systems Engineering, 1997, Vol. 20, No. 44, pp. 171-178.
  5. Jaturonnatee, J., Murthy, D., and Boondiskulchok, R., Optimal preventive maintenance of leased equipment with corrective minimal repairs, European Journal of Operational Research, 2006, Vol. 174, No. 1, pp. 201-215. https://doi.org/10.1016/j.ejor.2005.01.049
  6. Jung, Y.B., Optimum periodic preventive maintenance time for a system with imperfect maintenance, Journal of Society of Korea Industrial and Systems Engineering, 1994, Vol. 17, No. 32, pp. 221-226.
  7. Kim, Y.H., Lee, Y.H., Song, J.J., and Lee, S.Y., The Development of Investment Prioritization Criteria for the Mooring Facilities's Maintenance by the Delphi Study, Journal of the Korea Academia-Industrial Cooperation Society, 2014, Vol. 15, No. 1, pp. 515-524. https://doi.org/10.5762/KAIS.2014.15.1.515
  8. Lin, Z.L., Huang, Y.S., and Fang, C.C., Non-periodic preventive maintenance with reliability thresholds for complex repairable systems, Reliability Engineering and System Safety, 2015, Vol. 136, 145-156. https://doi.org/10.1016/j.ress.2014.12.010
  9. Mabrouk, A.B., Chelbi, A., and Radhoui, M., Optimal imperfect maintenance policy for equipment leased during successive periods, International Journal of Production Research, 2016, Vol. 54, No. 17, pp. 5095-5110. https://doi.org/10.1080/00207543.2016.1146417
  10. Park, S.H., Park, J.H., Bae, K.H., and Ahn, S.E., Constructing a competing risks model for the combined structure with dependent relations, Journal of Society of Korea Industrial and Systems Engineering, 2017, Vol. 40, No. 3, pp. 92-98.
  11. Schutz, J. and Rezg, N., Maintenance strategy for leased equipment, Computers and Industrial Engineering, 2013, Vol. 66, No. 3, pp. 593-600. https://doi.org/10.1016/j.cie.2013.05.004
  12. Yeh, R.H. and Chang, W.L., Optimal threshold value of failure-rate for leased products with preventive maintenance actions, Mathematical and Computer Modelling, 2007, Vol. 46, No. 5, pp. 730-737. https://doi.org/10.1016/j.mcm.2006.12.001
  13. Yeh, R.H., Chang, W.L., and Lo, H.C., Optimal threshold values of age and two-phase maintenance policy for leased equipments using age reduction method, Annals of Operations Research, 2010, Vol. 181, No. 1, pp. 171-183. https://doi.org/10.1007/s10479-010-0713-2
  14. Yeh, R.H., Kao, K.C., and Chang, W.L., Preventive-maintenance policy for leased products under various maintenance costs, Expert Systems with Applications, 2011, Vol. 38, No. 4, pp. 3558-3562. https://doi.org/10.1016/j.eswa.2010.08.144