• 품질경영학회지
• /
• 제28권3호
• /
• pp.11-17
• /
• 2000

This paper presents a model for determining the optimal number of general repairs and supplementary input cost limit rate in addition to minimal repair cost rate to implement preventive maintenance. The basic concept parallels the periodic replacement model with minimal repair at failure introduced by Barlow and Hunter(1960) and Park(1979), only difference being the replacement signalled by the number of previous general repairs performed on the system. A general repair brings the state of the system to a certain better state than before repaired. Numerical examples are provided.

• 품질경영학회지
• /
• 제18권2호
• /
• pp.33-42
• /
• 1990

This paper proposes the maintenance model of multi-component system when the failure characteristics and types of components are considered. In this model, it is assumed that a system is composed of a critical component, a major component and a minor component. Also, failure types is classified into major failure and minor failure. If major failure occurs to critical component before system age replacement time, the system is renewed. If major failure does not occur until its age replacement time, preventive maintenance is performed at age replacement time T. Minimal repairs are carried out after each minor failure. Major component is minimal-repaired if any failure is discovered during operation. Minor component should be replaced as soon as any failure is found. This paper determines the optimal replacement time of the system which minimizes total maintenance cost. Numerical example illustrates these results.

• 한국품질경영학회:학술대회논문집
• /
• 한국품질경영학회 2006년도 추계 학술대회
• /
• pp.315-320
• /
• 2006

Container crane in container terminal have a lot of parts, and a crane breakdown affects the productivity of terminal. In this paper, we decide Preventive Maintenance (PM) schedules for container crane in container terminals. We define structure of container crane using three model. Also we develop a simulation system and genetic algorithm for decision PM schedules based on failure and maintenance data collected from container terminal. We compare the work schedule with PM schedules of container crane, then regulate PM schedules using heuristic method.

• 조명전기설비학회논문지
• /
• 제28권7호
• /
• pp.34-40
• /
• 2014

In this paper, we want to know the optimal replacement cycle(time) for this study was performed. The optimal preventive replacement age can be fond by finding the value of time that minimizes the cost function(model of Barlow and Jardine). In addition, The reliability of the relay according to the service environment were studied. The use of the exchange relay period is longer, and maintenance cost rate(per hour) may increase, and also the reliability may cause a decline. In addition, considering the preventive maintenance and purchase order, a representative relay(RAX-L440-A type) life was calculated.

• 대한건축학회논문집:구조계
• /
• 제35권12호
• /
• pp.181-188
• /
• 2019

The maintenance of school building is pivotal issue. However, it is difficult to obtain basic analysis data for LCC(Lifecycle Cost) analysis and maintenance planning of school building. Therefore, this study proposed System Dynamics(SD) techniques to make maintenance decisions for school building. The interaction between the major parameters related to the aging of a building, maintenance activities, and cost were expressed in Causal Loop Diagram. Based on this, the formula for the relationship between causal maps was defined and converted to Stock and Flow Diagram. Through the completed SD model the 50-year plan of 214 educational building were tested by considered in account budget, maintainability, and budget allocation opinions. As a result, the integrated SD model demonstrated that it can support strategic decision making by identifying the status class and LCC behavior of school buildings by scenario. According to the scenario analysis, the rehabilitation action of preventive maintenance that primarily repairs the buildings in condition grade C showed the best performance improvement effect relative to the cost. Therefore, if the proposed SD model is expanded to consider the effects of other educational policies, the crucial performance improvement budget can be estimated in the long-term perspective.

• International Journal of Quality Innovation
• /
• 제7권3호
• /
• pp.15-23
• /
• 2006

A spare ordering policy is considered for planned maintenance. Introducing the ordering, uptime, downtime, inventory costs and salvage value, we derive the expected cost effectiveness. The problem is to determine jointly the ordering time for a spare and the preventive replacement time for the operating unit which maximize the expected cost effectiveness. Some properties regarding the optimal policy are derived, and a numerical example is included to explain the proposed model.

• Journal of the Korean Data and Information Science Society
• /
• 제18권3호
• /
• pp.689-696
• /
• 2007

This paper considers a Bayesian approach to determine an optimal PM policy with random maintenance quality. Thus, we assume that the quality of a PM action is a random variable following a probability distribution. When the failure time is Weibull distribution with uncertain parameters, a Bayesian approach is established to formally express and update the uncertain parameters for determining an optimal PM policy. Finally, the numerical examples are presented for illustrative purpose.

• Journal of Preventive Medicine and Public Health
• /
• 제55권4호
• /
• pp.360-370
• /
• 2022

Objectives: This study evaluated the response in Daegu, Korea to the first wave of the coronavirus disease 2019 (COVID-19) pandemic according to a public health emergency response model. Methods: After an examination of the official data reported by the city of Daegu and the Korea Centers for Disease Control and Prevention, as well as a literature review and advisory meetings, we chose a response model. Daegu's responses were organized into 4 phases and evaluated by applying the response model. Results: In phase 1, efforts were made to block further transmission of the virus through preemptive testing of a religious group. In phase 2, efforts were concentrated on responding to mass infections in high-risk facilities. Phase 3 involved a transition from a high-intensity social distancing campaign to a citizen participation-based quarantine system. The evaluation using the response model revealed insufficient systematic preparation for a medical surge. In addition, an incorporated health-related management system and protection measures for responders were absent. Nevertheless, the city encouraged the participation of private hospitals and developed a severity classification system. Citizens also played active roles in the pandemic response by practicing social distancing. Conclusions: This study employed the response model to evaluate the early response in Daegu to the COVID-19 pandemic and revealed areas in need of improvement or maintenance. Based on the study results, creation of a systematic model is necessary to prepare for and respond to future public health emergencies like the COVID-19 pandemic.

• 한국해안·해양공학회논문집
• /
• 제29권2호
• /
• pp.109-120
• /
• 2017

경사제 피복재를 예방적으로 유지관리할 수 있는 조건기반 할인비용모형을 제안하였다. 하중발생 사상을 이산시간 확률과정으로 고려하는 추계학적 누적 피해모형과 보수보강 비용에 대한 경제성 모형을 결합하여 수학적으로 유도하였다. 특히 본 논문에서 유도된 조건기반 유지관리의 할인비용모형은 시간에 따른 비용의 가치 뿐만 아니라 누적피해의 비선형성도 고려할 수 있다. 본 연구의 결과는 기존 모형들의 결과와 비교하여 만족스럽게 검증되었다. 또한 구조물의 중요도와 이자율 변화에 대한 민감도 분석도 수행하여, 구조물의 중요도가 높아질수록 예방적 보수보강의 최적시기는 빨라지나 이자율은 커질수록 반대의 경향이 나타난다는 것을 알았다. 한편 본 연구에서 유도된 추계학적 기대비용모형을 이용하여 여러 조건에 대하여 임의의 경사제 피복재 단면을 해석하였다. 표본경로기법을 적용하여 임의의 태풍 내습에 따른 경사제 피복재의 기대 누적피해수준을 예측하여 피해강도함수의 계수들을 추정할 수 있었다. 특히 하중발생 과정을 HPP(Homogeneous Poisson Process) 뿐만 아니라 DSPP(Doubly Stochastic Poisson Process)로도 해석하여 기대 누적피해수준에 미치는 하중발생의 불확실성에 대한 영향을 분석하여 하중발생사상을 이산시간 확률과정으로 고려해도 된다는 것을 확인하였다. 조건기반 할인비용모형의 해석 결과에 의하면 경사제 피복재의 설계조건에 따라 기대 누적피해수준의 거동특성이 크게 달라지고 이에 따라 예방적 보수보강을 수행하는 최적시기도 변한다는 것을 알 수 있었다. 마지막으로 파괴한계, 구조물의 중요도 그리고 이자율을 변화시키면서 예방적 유지관리를 가장 경제적으로 수행할 수 있는 최적시점과 피해규모를 결정할 수 있었다.

• 한국시뮬레이션학회논문지
• /
• 제28권4호
• /
• pp.1-10
• /
• 2019

해수담수화(SWRO, Sea Water Reverse Osmosis) 플랜트는 장기적이고 지속적인 담수 생산을 위하여 설계단계부터 플랜트의 가용도를 고려하여야 하며, 시간의 흐름에 따라 다양한 형태의 노후 현상이 진행되어 시스템 성능의 저하가 발생하므로 가용도 유지를 위한 고장정비 및 예방정비 계획 수립 등이 필요하다. 해수담수화 플랜트와 같이 복잡한 공학구조로 구성된 플랜트 분야에서는 시스템의 신뢰도 혹은 가용도를 수리적인 방법으로 추정하는데 어려움이 있다. 본 연구는 해수담수화 플랜트에 특화된 소프트웨어 개발을 위하여, RAM 분석 프레임워크와 모델링 방법을 개발하고, 가용도 산출을 위한 이산사건 시뮬레이션 모델을 제안한다. 플랜트 정비의 특성을 고려하여 고장 정비 발생 시, 단일 부품의 수리/교체 뿐만 아니라 분해 정비 수준에 따라 접근 가능한 모든 부품을 동시 정비하는 예방정비 정책을 제안하고, 제안된 방법론에 따라 시뮬레이션 모델 및 프로토타입을 개발하였다. 이를 활용하여 국내외에 건설된 해수담수화 플랜트의 현장 데이터를 기반으로 시스템의 가용도 및 가동률 등을 추정 사례 연구를 수행하였고, 그 결과 실제 플랜트의 가용도와 근접한 결과를 얻었다.