• Title/Summary/Keyword: Operation & Maintenance Cost

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A Comparative Study on Optimal Generation Maintenance Scheduling with Marginal Maintenance Cost and Levelized Risk Methods (한계보수비용법 및 위험지수 평준화법에 의한 최적전원보수계획의 비교)

  • 이봉용;심건보
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.41 no.1
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    • pp.9-17
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    • 1992
  • Proper resource allocation is also a very important topic in power system problems, especially in operation and planning. One such is optimal maintenance problem in operation and planning. Least cost and highest reliability should be the subjects to be pursued. A probabilistic operation simulation model developed recently by authors is applied to the proboem of optimal maintenance scheduling. Three different methods are compared, marginal maintenance cost, levelized risk and maintenance space. The method by the marginal maintenance costs shows the least cost, the highest reliability and the highest maintenance outage rates. This latter characteristics may considerably influence the results of genetation planning, because the usual maintenance outages obtained from the other methods have shown to be lower.

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The Maintenance Cost Estimation Model for Information System Maintenance Based on the Operation, Management and Service Metrics (운영·관리 및 서비스 지표에 기반한 정보시스템 유지보수 비용 추정 모델)

  • Lee, Byoung-Chol;Rhew, SungYul
    • Journal of the Korea Society of Computer and Information
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    • v.18 no.5
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    • pp.77-85
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    • 2013
  • In this paper, we present the cost measurement metrics for the operation management and service improvement besides the general maintenance. The cost measurement metrics of the operation management and service improvement are based on the metrics that are classified and summarized precedent studies and complemented by empirical measuring indicators, and we propose the maintenance cost estimation model based on this metrics. The maintenance costs can be calculated detailedly, because the proposed metrics can be used selectively, depending on the scope of the information system maintenance. The effectiveness of the proposed maintenance cost measurement metrics and cost estimation model is verified by comparison between existing studies and our research.

Life Cycle Cost Model for the Acquisition of Rolling Stocks (철도차량 획득단계에 적용되는 수명주기비용 모형에 관한 연구)

  • Kim, Jong-Woon;Chung, Kwang-Woo;Chung, Jong-Duk;Han, Seok-Yun
    • Proceedings of the KSR Conference
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    • 2009.05a
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    • pp.198-205
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    • 2009
  • It is known that the operation and maintenance cost is generally higher than the acquisition cost of rolling stocks. It is very important for reducing the operation and maintenance cost to acquire the rolling stocks which are well designed with regard to the operation and maintenance cost. Therefore life cycle cost including the operation and maintenance cost is needed to be considered from the acquisition phase. This article presents a procedure and a model for life cycle cost which are applicable to the acquisition of rolling stocks.

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Optimal Preventive Maintenance Period in Complex Systems in Considering Components Reliability Characteristic (하부 구성품의 신뢰도 특성을 고려한 복합 시스템의 최적 예방정비 주기 산출)

  • Lee, Youn-Ho;Lee, Ik-Do;Lee, Dong-Woo;Sohn, Ki-Hong
    • Journal of Korean Institute of Industrial Engineers
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    • v.37 no.4
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    • pp.390-399
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    • 2011
  • Generally the life-cycle cost of complex systems composed of several sub systems or equipments such as train, aircraft weapon systems is spent much more during operation and maintenance phase than development phase. The maintenance cost for maintaining the availability and extending the life span of systems comprise a large proportion of systems operation cost. The cycle of preventive maintenance affects operation and maintenance cost a lot. In this study we introduce a way minimizing life-cycle cost of systems by calculating more reliable preventive maintenance period than the results of previous study using systems reliability data considered the reliability and failure effect ratio of sub-systems or components. We can solve the preventive maintenance period problem known as NP-Hard as quick as possible by using modified genetic algorithm than using other models introduced in previous study.

A Group Maintenance Model with Extended Operating Horizon (연장된 운용기간을 활용하는 그룹보전모형)

  • Yoo, Young-Kwan
    • Journal of the Korea Safety Management & Science
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    • v.19 no.3
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    • pp.89-95
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    • 2017
  • 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.

A Study on Life Cycle Cost on Railway Locomotive Systems

  • Egamberdiev, Bunyod;Lee, Kookchan;Lee, Jongwoo;Burnashev, Shamil
    • International Journal of Railway
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    • v.9 no.1
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    • pp.10-14
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    • 2016
  • Life cycle cost analysis is compulsively required for the system operation. System operation costs are consisted of acquisition, operation, maintenance and so on. In the beginning of the system planning, we need to take into account of various costs following the system operating. To implement LCC, we need to analyze system life cycle to identify all costs during system life. The costs can be divided into three parts. The first part is purchasing cost, the second for operating cost and the last for disposal cost. The second operating cost can be decomposed of operating cost included labor, energy consumption cost for system running, maintenance costs to keep systems healthy, delay cost caused from maintenance and hazard cost, and so on. In this paper, we carried out for railway locomotives which operate over more 30years and which cost about 10 million USD. We decompose the life cycle of the locomotives and break down the locomotives into subsystems to require maintenance or not, and subsystems to need energy or not. We showed how to decide optimal locomotives through cost identification and system breakdown.

An Empirical Study on Contract Model for IT Outsourcing Application Operation (IT 아웃소싱 어플리케이션 운영 계약모델에 대한 실증적 연구)

  • Kim, Heungshik;Park, Soah
    • Journal of Information Technology Services
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    • v.16 no.2
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    • pp.45-60
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    • 2017
  • The study suggests a contract model of application operation through case study of A bank's IT outsourcing application contract based on workload. The IT outsourcing order form has a problem in that the scope of work is ambiguous due to the integration of operation and maintenance. In this study, application operation and maintenance were separated by referring to application operation history provided in ISO/IEC15504-5 standard. The scope of the IT outsourcing service was clarified by organizing the definition and detail activities of the application operation business. Application operation contract method has generally applied estimation method by the number of input manpower and period by agreement between buyer and client. As there is no activity to calculate the number of input manpower based on the operational work history and based on the standard workload per activity. In this case is not guaranteed due to the simple agreement between the contractors. In this paper, we propose an application operating cost estimation model that measures the size of the operating software using function point analysis that is the basis of application operation tasks. In order to verify the validity of the application operation cost model, we verified the correlation between the application size and the labor cost through regression analysis using SPSS.

A Case Study on the Reduction Costs Prediction of a Reinforced Concrete Bridge using LCC method (Life Cycle Cost 기법에 의한 RC Slab 교량의 절감비용 예측에 관한 연구)

  • Kwon, Suk-Hyun;Kim, Sang-Beom;Park, Yong-Jin
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.11 no.5
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    • pp.160-170
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    • 2007
  • This study predicts Life Cycle Cost of RC Slab bridge case in maintenance and operation level and calculated economic efficiency by the avoidable costs of a bridge. This result of the study can be summarized as follow: (1) LCC analysis model on the bridge case is suggested. (2) Maintenance and operation level of a bridge have been divided, and LCC of the bridge case has been predicted at current maintenance and operation level and required maintenance and operation level. (3) Reduction costs is predicted by LCC of the bridge case, and its economic efficiency is calculated.

A Study on Evaluation of corrective maintenance for the ATP on-board equipped in Tilting train (틸팅열차 차상신호장치 교정유지보수 평가에 관한 연구)

  • Lee, Kang-Mi;Shin, Duc-Ko;Baek, Jong-Hyen;Lee, Jae-Ho
    • Proceedings of the KSR Conference
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    • 2009.05a
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    • pp.1989-1992
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    • 2009
  • Maintenance is classified preventive maintenance before performing equipment failure and corrective maintenance after performing equipment failure. In preventive maintenance, we may analyze the failure data to end from beginning of equipment and allocate maintenance method and calculate maintenance cycle quantitatively by the failure data analysis. So, it has a merit to reduce system maintenance cost and to operate effectively but, it require high cost in system introducing and continuous operation to end of system. In corrective maintenance, we may calculate MTTR(mean time to repair) quantitatively based on function failure time. it can be based on establishing maintenance system for operation efficiency. In this paper, we may reflect the MTTR for the onboard equipped in Tilting train to establish maintenance system for Tilting train operation efficiency.

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Development and Application of the Spare-parts Cost Estimating Relationships (수리부속비 비용추정식 개발과 활용방안)

  • Ryu, Min-Kyu;Lee, Yong-Bok;Kang, Sung-Jin
    • Journal of the Korea Institute of Military Science and Technology
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    • v.13 no.4
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    • pp.601-611
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    • 2010
  • Currently, a life cycle cost estimates(LCCE) is the most important factor in weapon system acquisition process. However, operation and maintenance(O&M) cost related studies are insufficient from the previous literature survey. O&M cost consists of various cost factors such a man power, maintenance and direct & indirect support costs. We have known that spare-parts cost is a key factor in the O&M cost. In this paper, we developed the spare-parts cost estimating relationships(CERs) of fixed-wing aircraft and armored vehicle weapon systems which include 4 historical cost drivers ; system acquisition cost, deterioration rate, localization rate, mission characteristic. Furthermore, we proposed the application methodologies that O&M cost estimating, total life cycle cost estimating and determination of the economic life using the spare-parts CERs.