• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.5
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• pp.485-491
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• 2019

In this paper, we present a process and case of RAM analysis using Field-Data of the ground weapon system in operation in the army. In order to perform RAM analysis in filed-Data, we propose data collection, data refining and calibration, and RAM analysis process. RAM analysis was performed with the RAM verification and evaluation system developed by Defense Agency for Technology and Quality. We enhance the objectivity and reliability in result of data, which contains a variety of conditions; operation and maintenance concept of domestic ground weapon system, relevant regulation and after-sales service data of developer. Results are compared 2015, 2018 and development RAM value. We prove results of RAM analysis through discussion experts. Studies show that proposed method can effectively apply database from setting to evaluation RAM value in various ground weapon system.

• Journal of the Korea Institute of Military Science and Technology
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• v.21 no.5
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• pp.714-721
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• 2018

This study proposes a risk evaluation method based on RAM and AHP data in order to prevent subjectivity of risk assessment. The risk assessment consist of Risk Likelihood(RL) and Risk Consequence(RC) in five levels. However, risk analysis of warships is hard to make a judgment because of small quantity production(Ship), long building period, equipment changes, complexity, various kinds of equipments, etc. The proposed RAM data and AHP analysis method are used to quantify each level quantitatively. RAM(MTBF) date is used to classify the RL, and AHP analysis is used to classify the RC. These scientific and data-based method will increase objectivity as well as efficiency of risk evaluation.

• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 1998.10a
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• pp.102-114
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• 1998

항공기 개발단계에서의 RAM(Reliability, Availability, Maintainability) 예측은 진행중인 설계개념이 RAM 개발 목표값을 달성할 수 있는지를 판단하여 이를 설계에 반영하기 위한 것이다. 본 연구에서 신뢰도 예측 모델은 항공기의 임무에 초점을 둔 임무신뢰도와 시스템신뢰도를 산출하고, 정비도 예측 모델은 군수지원분석자료(LSAR)와의 호환성을 유지할 수 있도록 하였으며, 가용도 예측 모델은 신뢰도와 정비도 자료를 활용한 운용가용도를 예측하는 데에 기준을 두었다. 본 연구는 기존의 RAM 예측이 각각 독립적으로 수행된 점을 보완하여 서로간의 상호관계를 반영한 통합 예측 모델을 개발하는 데에 초점을 두었으며, 실제적인 운용개념을 반영한 모델링으로서 항공기 개발단계에서 뿐만 아니라 실제 운용단계에서의 RAM 분석에 효과적이라 판단된다.

• Journal of the Korea Institute of Military Science and Technology
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• v.15 no.5
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• pp.651-659
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• 2012

Target operational availability setting is the first step to setting up a goal which a weapon system development project have to achieve and doing RAM analysis during whole life of a weapon system. It is important as a key factor to doing RAM analysis in the early phase of weapon system development. This paper present a methodology to set a target operational availability for, especially, a warship when it develop. This methodology uses Operational Mode Summary/Mission Profile(OMS/MP) of the developing warship and RAM analysis results of similar warships to calculate wartime and peacetime target operational availability. It will be used in early phase of not only warship development but also army or aircraft weapon systems when these develop.

• IE interfaces
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• v.19 no.3
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• pp.245-254
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• 2006

Equipments in container terminal have a lot of parts, and an equipment breakdown affects the productivity of terminal. In this paper, we develop a maintenance management system for improving reliability, availability and maintainability of equipments in container terminals. The developed system consists of five modules : equipment structure module, equipment operation management module, maintenance control module, spare part control module and data analysis module. The system supports reliability engineers to manage and improve RAM of equipments in container terminals. For example, FMEA, failure state analysis and life distribution parameters estimation are easily or automatically done by the system. This system also provides optimal preventive maintenance intervals by simulation and optimal yearly PM schedules for equipments in container terminal are recommended.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2012.10a
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• pp.983-984
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• 2012

• Proceedings of the Korean Nuclear Society Conference
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• 1996.05b
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• pp.505-510
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• 1996

A simple model for RAM (Reliability, Availability and Maintainability) analysis and its computer code are developed for application to DUPIC fuel fabrication system. The approach is obtained by linking the allocation model (top-down method) to bottom-up method for RAM analysis. As a result, the availability requirement of subsystem, as well as the buffer storage requirement between processes, are evaluated for the DUPIC facility..

• Korean Management Science Review
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• v.11 no.1
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• pp.117-128
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• 1994

This paper describes a case study on the analysis of RAM(Reliability, Availability, and Maintainability) factors obtained from the Endurance-Test for a military full-tracked armored vehicle. In analysing RAM factors of the vehicle we used such a statistical technique as method of Maximum-Likelihood for estimating parameters.

• Journal of the Korean Institute of Gas
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• v.15 no.1
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• pp.74-80
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• 2011

Recently, needs for extending remaining life and integrity of the aged energy plants are increased since the most domestic plants have been operated over 10 years. This need makes RAM (reliability, availability and maintainability) of the plant become more significant. RBI (risk based inspection) is main technology to increase RAM in energy plants. So far RBI has been developed mainly in the field of process plants (chemical/refinery), underground buried pipelines or nuclear power plants. However, the existing RBI procedure is limited mainly to process plants, it need to be extended to the other energy plants such as fossil power plants. In this study, a general RBI procedure for optimized PM (preventive maintenance) is proposed for various energy plants.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.36 no.2
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• pp.157-164
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• 2012

When designing a multifunctional system consisting of many components performing many functions or missions, it is important to determine the reliability, availability, and maintainability (RAM) of the system and components, and we consider system availability to be the optimization criterion. For given intervals of mean time between failure (MTBF) and mean time to repair (MTTR) of the components, we want to determine the values of MTBF and MTTR for all components that satisfy the target availability. A heuristic method is proposed for finding near-optimal solutions through simulation. We also study numerical examples to check effects of model parameters on the optimal solutions.