대여 장비의 예방정비 일정 결정을 위한 의사 결정 모델 개발

서지정보

ㆍ발행기관 : 한국산업경영시스템학회 ㆍ수록지정보 : 산업경영시스템학회지 / 41권 / 2호
ㆍ저자명 : 이주현, 배기호, 안선응

목차

1. 서 론
2. 대여 장비의 주기적 예방보전 정책
2.1 모형의 구성
2.2 불완전 보전효과를 고려한 예방보전 모형
2.3 주기적 예방보전 정책
3. 대여 장비의 유지보수 일정 결정을 위한 의사결정 모형
3.1 의사결정 모형의 구성
3.2 비용만 고려한 의사결정 모형
3.3 대여종료 시점 신뢰도를 고려한 의사결정 모형
4. 수치 예제
5. 결 론
References

영어 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.

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