• 제목/요약/키워드: Maintenance Simulation

검색결과 798건 처리시간 0.026초

시뮬레이션을 통한 불완전 유지보수하에서의 유지보수 정책의 효율성 평가에 관한 사례 연구 (A case study on evaluating the effectiveness of maintenance policies under imperfect maintenance)

  • 이덕규;이희성
    • 한국철도학회:학술대회논문집
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    • 한국철도학회 2008년도 추계학술대회 논문집
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    • pp.1539-1544
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    • 2008
  • 기존 연구에서 도어시스템에 대한 중정비가 완전 유지보수가 아닌 불완전 유지보수인 사례가 발표되었다. 불완전 유지보수인 경우에는 유지보수 효과를 고려하여 적절한 유지보수 정책을 수립하여야만 시스템의 신뢰성을 확보하면서 경제적인 유지보수를 수행할 수 있다. 본 연구에서는 전동차량의 승객용도어 시스템(passenger door system:PDS)을 대상으로 중정비의 효과가 불완전할 경우 고려할 수 있는 유지보수 정책의 효율성을 시뮬레이션을 통해 평가함으로써 유지보수 정책을 결정하는데 도움을 주고자 한다.

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정비능력, 예비품 수량 제약조건 하에서의 운용가용도 시뮬레이션 연구 (A Study on the Simulation about Operation Availability under Maintenance Capacity and Repair Part Constraints)

  • 박세훈;문성암;이정환
    • 한국시스템다이내믹스연구
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    • 제11권2호
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    • pp.119-138
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    • 2010
  • This study introduces the system dynamics model that simulate total operational availability when 10 equipments made of 3 major components are serviced under the constrains of the maintenance capacity level and the number of spare parts. This simulation is designed on the base of reliability engineering concept so failures of components happens with the rule of engineering factors like the mean time between failure(MTBF) of component and the next failure time of one component is effected by the conditions of other components. We analysed availability of 10 equipments under 121 constrains and executed multiple regression analysis with the simulation result. The analysis provide the managerial insight in the service fields with operation many equipments.

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증기발생기 최적 교체시기 결정에 관한 연구 (Optimum Replacement Times for a Steam Generator)

  • 허정훈;윤원영
    • 산업공학
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    • 제15권1호
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    • pp.89-98
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    • 2002
  • This paper considers the optimum replacement times of a steam generator in nuclear power plant with failure data. It is assumed that the failure pattern of units is given as a Weibull distribution and repair and periodic preventive maintenance are performed periodically. The maximum likelihood method is used to estimated the Weibull parameters of failure distribution from failure data. Relpacement, output-decresing and maintenance costs are considered to determine the optimal replacement times by simulation. Numerical examples are included with actual failure data and cost estimators.

Applications of Agent-Based Modeling (ABM) in Enhancing Facility Operation and Management

  • Khodabandelu, Ali;Park, JeeWoong
    • 국제학술발표논문집
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    • The 9th International Conference on Construction Engineering and Project Management
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    • pp.393-400
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    • 2022
  • Agent-based modeling (ABM), as a relatively new simulation technique, has recently gained in popularity in the civil engineering domain due to its uniquely advantageous features. Among many civil engineering applications, ABM has been applied to facility operation and management, such as energy consumption management, as well as the enhancement of maintenance and repair processes. The former studies used ABM to manage energy consumption through simulating human energy-related behaviors and their interactions with facilities, as well as electrical, heating, and cooling systems and appliances, while the latter used ABM to enhance maintenance process through facilitating coordination, negotiation, and decision making between facility managers, service providers, and repair workers. The present study aims to provide a short qualitative review on the most recent applications of ABM in the above-mentioned areas. Based on the review and follow-up analysis, the study identifies the advantages, disadvantages, and limitations of ABM applications to facility operation and management, and offers several potential future research topics in the hope of filling the existing literature gaps.

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Markov State Model을 이용한 복합화력 발전설비의 최적의 유지보수계획 수립 (Application Markov State Model for the RCM of Combustion turbine Generating Unit)

  • 신준석;이승혁;김진오
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2006년도 추계학술대회 논문집 전력기술부문
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    • pp.357-359
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    • 2006
  • Traditional time based preventive maintenance is used to constant maintenance interval for equipment life. In order to consider economic aspect for time based preventive maintenance, preventive maintenance is scheduled by RCM(Reliability-Centered Maintenance) evaluation. So, Markov state model is utilized considering stochastic state in RCM. In this paper, a Markov state model which can be used for scheduling and optimization of maintenance is presented. The deterioration process of system condition is modeled by a Markov model. In case study, simulation results about RCM are used to the real historical data of combustion turbine generating units in Korean power systems.

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신뢰도 및 정비도 기반 시뮬레이션과 운영유지 비용분석을 통한 무인항공기의 계획창정비 주기결정 (Planned Depot Maintenance Interval Decision for Unmanned Aerial Vehicle through Reliability and Maintainability Based Simulation and Operating & Support Cost Analysis)

  • 이상엽;손준현
    • 항공우주시스템공학회지
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    • 제17권5호
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    • pp.1-10
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    • 2023
  • 본 연구는 무인항공기에 대한 계획창정비의 최적 주기결정 목표 하에, 신뢰도 및 정비도 분석결과를 활용하여 신뢰도 및 정비도 기반 시뮬레이션과 운영유지 비용분석을 통해 계획창정비 수행의 효용성 (경제성)을 검증하였고, 무인항공기 운영의 효과성과 유지관리 비용의 균형을 맞추는 최적의 계획창정비 주기를 제시하였다.

Smoothed Particle Hydrodynamics 기반 고 밀집 군중 시뮬레이션 기법 (High Density Crowd Simulation based on SPH)

  • 강신진;이정;김수균
    • 한국게임학회 논문지
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    • 제11권6호
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    • pp.193-199
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    • 2011
  • 고 밀집 상태의 군중 시뮬레이션은 객체 수에 따라 복잡도와 제작 비용이 크게 증가함으로 사실적인 움직임을 표현하는데 어려움이 있다. 본 논문에서는 고 밀집 군중 시뮬레이션 시 사실적인 움직임을 표현하기 위해 Smoothed Particle Hydrodynamics (SPH) 기법을 도입하였다. 본 연구에서는 유체 시뮬레이션에 사용되는 SPH 모델을 응용하여 객체 움직임에 필요한 회피력, 거리 유지력, 그룹 응집력을 새로이 제안하였다. 제안된 객체 운동 수식은 고 밀집 상태에서 유체와 같이 자연스런 객체 움직임을 표현하는데 효과적이다. 실험 결과, 본 시스템은 밀집도 높은 군중 시뮬레이션을 실시간으로 생성 가능함을 보였다.

Virtual Analysis of the Remote Operation of the ACP

  • Yoon Ji sup;Kim Sung Hyun;Song Tai Gil;Lim Kwang-Mook
    • 한국방사성폐기물학회:학술대회논문집
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    • 한국방사성폐기물학회 2005년도 Proceedings of The 6th korea-china joint workshop on nuclear waste management
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    • pp.60-75
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    • 2005
  • The remote operation of the Advanced Spent Fuel Conditioning Process (ACP) is analyzed by using the 3D graphic simulation tools. The ACP equipment operates in intense radiation fields as well as in a high temperature. Thus, the equipment should be designed in consideration of the remote handling and maintenance. As well as suitable remote handling and maintenance method needs to be provided. To provide such remote operation technology, we developed the graphic simulator which provides the capability of verifying the remote operability of the ACP without fabrication of the process equipment. In other words, by applying virtual reality to the remote maintenance operation, a remote operation task can be simulated in a computer, not in a real environment. In this way the graphic simulator can substantially reduce the design cost of the remote operation process and the equipment. Also it can provide new operation concept that is more reliable, easier to implement, and easier to understand.

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Dynamic analysis of multi-functional maintenance platform based on Newton-Euler method and improved virtual work principle

  • Li, Dongyi;Lu, Kun;Cheng, Yong;Zhao, Wenlong;Yang, Songzhu;Zhang, Yu;Li, Junwei;Shi, Shanshuang
    • Nuclear Engineering and Technology
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    • 제52권11호
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    • pp.2630-2637
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    • 2020
  • The structure design of divertor Multi-Functional Maintenance Platform (MFMP) actuated by hydraulic system for China Fusion Engineering Test Reactor (CFETR) was introduced in this paper. The model of MFMP was established according to maintenance requirements. In this paper, Newton-Euler method and the improved virtual work principle were used, the equivalent driving force of each actuator was obtained through the equivalent Jacobian inverse matrix derived from velocity relationship among the components. The accuracy of the model was verified by ADAMS simulation. The stability control of the heavy-duty components driven by hydraulic cylinders based on Newton-Euler method and improved virtual work principle was established.

Integrated Simulation Modeling of Business, Maintenance and Production Systems for Concurrent Improvement of Lead Time, Cost and Production Rate

  • Paknafs, Bahman;Azadeh, Ali
    • Industrial Engineering and Management Systems
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    • 제15권4호
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    • pp.403-431
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    • 2016
  • The objective of this study is to integrate the business, maintenance and production processes of a manufacturing system by incorporating errors. First, the required functions are estimated according to the historical data. The system activities are simulated by Visual SLAM software and the required outputs are obtained. Several outputs including lead times in different dimensions, total cost and production rates are computed through simulation. Finally, data envelopment analysis (DEA) is utilized in order to select the best option between the defined scenarios due to the multi-criteria feature of the problem. This is the first study in which the lead times, cost and production rates are simultaneously considered in the integrated system imposed of business, maintenance and production processes by incorporating errors. In the current study, the major bottlenecks of the system being studied are identified and suggested different strategies to improve the system and make the best decision.