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대여 장비의 예방정비 일정 결정을 위한 의사 결정 모델 개발

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

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주제분류산업공학

초록

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.

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.

참고문헌 (14)

  1. 배기호, "대여장비의 신뢰도 기반 예방보전 정책을 통한 최적 의사결정 과정 개발", 신뢰성 응용연구, 17(3), pp.246~255 (2017), 한국신뢰성학회
  2. Dasgupta, S., "To lease or to buy? A structural model of a consumer's vehicle and contract choice decisions", Journal of Marketing Research, 44(3), pp.490~502 (2007)[DOI]
  3. Doyen, L., "Classes of imperfect repair models based on reduction of failure intensity or virtual age", Reliability Engineering and System Safety, 84(1), pp.45~56 (2004)[DOI]
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  6. Jung, Y.B., "Optimum periodic preventive maintenance time for a system with imperfect maintenance", Journal of Society of Korea Industrial and Systems Engineering, 17(32), pp.221~226 (1994)
  7. 김용희, "델파이 기법을 적용한 항만 계류시설유지보수 투자우선순위 결정 기준 개발", 한국산학기술학회논문지, 15(1), pp.515~524 (2014), 한국산학기술학회[DOI]
  8. Lin, Z.L., "Non-periodic preventive maintenance with reliability thresholds for complex repairable systems", Reliability Engineering and System Safety, 136, pp.145~156 (2015)[DOI]
  9. Mabrouk, A.B., "Optimal imperfect maintenance policy for equipment leased during successive periods", International Journal of Production Research, 54(17), pp.5095~5110 (2016)[DOI]
  10. 박성환, "종속적 관계를 갖는 혼합구조에 대한 경쟁적 위험모형의 구축", 한국산업경영시스템학회지, 40(3), pp.92~98 (2017), 한국산업경영시스템학회
  11. Schutz, J., "Maintenance strategy for leased equipment", Computers and Industrial Engineering, 66(3), pp.593~600 (2013)[DOI]
  12. Yeh, R.H., "Optimal threshold value of failure-rate for leased products with preventive maintenance actions", Mathematical and Computer Modelling, 46(5), pp.730~737 (2007)[DOI]
  13. Yeh, R.H., "Optimal threshold values of age and two-phase maintenance policy for leased equipments using age reduction method", Annals of Operations Research, 181(1), pp.171~183 (2010)[DOI]
  14. Yeh, R.H., "Preventive-maintenance policy for leased products under various maintenance costs", Expert Systems with Applications, 38(4), pp.3558~3562 (2011)[DOI]

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