• 제목/요약/키워드: Maintenance process model

검색결과 473건 처리시간 0.027초

고장을 고려한 공정평균 이동에 대한 조정시기 결정 (Determination of Resetting Time to the Process Mean Shift with Failure)

  • 이도경
    • 산업경영시스템학회지
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    • 제42권4호
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    • pp.145-152
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    • 2019
  • All machines deteriorate in performance over time. The phenomenon that causes such performance degradation is called deterioration. Due to the deterioration, the process mean of the machine shifts, process variance increases due to the expansion of separate interval, and the failure rate of the machine increases. The maintenance model is a matter of determining the timing of preventive maintenance that minimizes the total cost per wear between the relation to the increasing production cost and the decreasing maintenance cost. The essential requirement of this model is that the preventive maintenance cost is less than the failure maintenance cost. In the process mean shift model, determining the resetting timing due to increasing production costs is the same as the maintenance model. In determining the timing of machine adjustments, there are two differences between the models. First, the process mean shift model excludes failure from the model. This model is limited to the period during the operation of the machine. Second, in the maintenance model, the production cost is set as a general function of the operating time. But in the process mean shift model, the production cost is set as a probability functions associated with the product. In the production system, the maintenance cost of the equipment and the production cost due to the non-confirming items and the quality loss cost are always occurring simultaneously. So it is reasonable that the failure and process mean shift should be dealt with at the same time in determining the maintenance time. This study proposes a model that integrates both of them. In order to reflect the actual production system more accurately, this integrated model includes the items of process variance function and the loss function according to wear level.

기계화사단 정비대대 능력 평가에 관한 연구 (A Study on the Evaluation of Maintenance Capability for A Maintenance Battalion in the Mechanized Division)

  • 백종찬;강성진
    • 한국국방경영분석학회지
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    • 제22권1호
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    • pp.142-155
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    • 1996
  • In this research, our objective is to develop a model which could evaluate the maintenance capability for a maintenance battalion in the mechanized division. To analyze the maintenance system, we obtained various data related to maintenance capability and described the maintenance process as a network type. This network type model is then translated to SLAM-II network model to simulate the system. The simulation model can be operated by using appropriate input data and simulation results are obtained. The simulation model can be applied in various way. Through the simulation we could find the bottle neck point in the maintenance process. Also the maximum capability of maintenance with on hand asset and the wartime supportability can be evaluated. The mode provides sensitivity analysis by changing various imput data such as the number of repairmen, repair time, failure rate and so on.

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예방정비를 고려한 복수 부품 시스템의 신뢰성 분석: 마코프 체인 모형의 응용 (Reliability Analysis of Multi-Component System Considering Preventive Maintenance: Application of Markov Chain Model)

  • 김헌길;김우성
    • 한국신뢰성학회지:신뢰성응용연구
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    • 제16권4호
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    • pp.313-322
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    • 2016
  • Purpose: We introduce ways to employ Markov chain model to evaluate the effect of preventive maintenance process. While the preventive maintenance process decreases the failure rate of each subsystems, it increases the downtime of the system because the system can not work during the maintenance process. The goal of this paper is to introduce ways to analyze this trade-off. Methods: Markov chain models are employed. We derive the availability of the system consisting of N repairable subsystems by the methods under various maintenance policies. Results: To validate our methods, we apply our models to the real maintenance data reports of military truck. The error between the model and the data was about 1%. Conclusion: The models developed in this paper fit real data well. These techniques can be applied to calculate the availability under various preventive maintenance policies.

보전비용 증가와 생산량 감소를 고려한 공정평균이동 모형 (A Process Mean Shift Model Considering The Increasing Maintenance Cost and The Decreasing Production Volume)

  • 이도경
    • 융합정보논문지
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    • 제11권3호
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    • pp.125-131
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    • 2021
  • 모든 장비는 지속적인 사용에 의해 공정의 생산성과 경제성은 감소한다. 그러므로 일정 시점에서는 공정평균이동 문제라는 설비에 대한 예방보전이 필요하다. 설비의 보전시기를 결정함에 있어, 우리는 기존 연구에서 부분적으로 진행되어 온 보전모형들을 확장하고 통합함으로써 다양한 상황이 발생하는 생산 현장을 반영한 보전모형을 제시하고자 한다. 이를 구현하기 위해 제품규격은 상하한의 양쪽을 설정했으며, 적합품에 대해 품질손실함수를 도입했다. 마모수준에 대한 공정분산은 상수가 아닌 함수로 설정했으며, 특히 제품생산량과 보전비용에 있어서는 마모수준에 대한 함수를 개발하여 적용했다. 이로써 본 연구는 현장의 다양한 공정에 대부분 적용할 수 있는 보전모형이 될 것으로 생각한다. 추후 연구에서는 보전모형을 구성하는 부적합비용, 품질손실비용, 보전비용에 더하여 제품판매로 인한 수익 항목을 추가한 전체 수익 최대화 문제로 전개할 수 있을 것이며, 크게는 본 연구의 모형에 고장률을 도입한 보전모형으로의 확장도 생각해 볼 수 있을 것이다.

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

  • 이승혁;신준석;김진오
    • 전기학회논문지
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    • 제56권2호
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    • pp.248-253
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    • 2007
  • 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.

시스템의 상태를 고려한 발전설비의 예방 유지보수 계획 수립 (Scheduling of Preventive Maintenance for Generating Unit Considering Condition of System)

  • 신준석;변융태;김진오;김형철
    • 전기학회논문지
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    • 제57권8호
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    • pp.1305-1310
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    • 2008
  • Traditional maintenance planning is based on a constant maintenance interval for equipment life. In order to consider economic aspect for time based preventive maintenance, preventive maintenance is desirable to be scheduled by RCM(Reliability-Centered Maintenance) evaluation. The main objective of RCM is to reduce the maintenance cost, by focusing on the most important functions of the system and avoiding or removing maintenance actions that are not strictly necessary. 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 the stepwise Markov model in detail. Also, because the system is not continuously monitored, the inspection is considered. In case study, simulation results about RCM will be shown using the real historical data of combustion turbine generating unit in Korean power systems.

추계학적 확률과정을 이용한 경사제 피복재의 예방적 유지관리를 위한 조건기반모형 (Condition-Based Model for Preventive Maintenance of Armor Units of Rubble-Mound Breakwaters using Stochastic Process)

  • 이철응
    • 한국해안·해양공학회논문집
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    • 제28권4호
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    • pp.191-201
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    • 2016
  • 추계학적 확률과정을 이용하여 경사제 피복재를 예방적으로 유지관리할 수 있는 조건기반모형을 개발하였다. 완전 보수보강 조건에서 가장 경제적으로 보수보강이 수행되어야 하는 최적의 시점을 결정할 수 있는 모형이다. 본 연구에서 개발된 RRP(Renewal Reward Process) 기반 경제성 모형은 이자율을 고려할 수 있을 뿐만 아니라 기존 연구에서 상수로 취급하던 비용을 시간에 따른 확률변수로 고려할 수 있다. 누적피해와 사용한계 그리고 구조물의 중요도를 모두 고려할 수 있는 함수식을 제시하여 ABM(Age-Based Maintenance)을 CBM(Condition-Based Maintenance)으로 쉽게 확장할 수 있게 하였다. 또한 함수식에 포함된 계수들을 수학적으로 산정할 수 있는 방법도 제시하였다. 두 가지 추계학적 확률과정, WP(Wiener Process)와 GP(Gamma Process)를 이용하여 경사제 사석재를 해석하였다. 사용한계, 이자율 그리고 구조물의 중요도에 따라 시간에 따른 기대총비용율을 산정하여 기대총비용율이 최소가 되는 예방적 유지관리의 최적 시점을 쉽게 추정할 수 있었다. 동일한 사용한계에서 이자율이 높을수록 최적시점은 늦어지고 그에 따라 기대총비용율도 낮아졌다. 또한 상대적으로 GP가 WP보다 더 보수적으로 최적시점을 예측하였다. 마지막으로 동일한 조건에서 구조물의 중요도가 높을수록 더 자주 예방적 보수보강을 실시하여야 한다는 것을 알았다.

Integrating Machine Reliability and Preventive Maintenance Planning in Manufacturing Cell Design

  • Das, Kanchan;Lashkari, R.S.;Sengupta, S.
    • Industrial Engineering and Management Systems
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    • 제7권2호
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    • pp.113-125
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    • 2008
  • This paper presents a model for designing cellular manufacturing systems (CMS) by integrating system cost, machine reliability, and preventive maintenance (PM) planning. In a CMS, a part is processed using alternative process routes, each consisting of a sequence of visits to machines. Thus, a level of 'system reliability' is associated with the machines along the process route assigned to a part type. Assuming machine reliabilities to follow the Weibull distribution, the model assigns the machines to cells, and selects, for each part type, a process route which maximizes the overall system reliability and minimizes the total costs of manufacturing operations, machine underutilization, and inter-cell material handling. The model also incorporates a reliability based PM plan and an algorithm to implement the plan. The algorithm determines effective PM intervals for the CMS machines based on a group maintenance policy and thus minimizes the maintenance costs subject to acceptable machine reliability thresholds. The model is a large mixed integer linear program, and is solved using LINGO. The results point out that integrating PM in the CMS design improves the overall system reliability markedly, and reduces the total costs significantly.

운용환경을 고려한 항공오일시험장비의 최적정비주기 설정 (Optimal Maintenance Cycle for Aviation Oil Testing Equipment under the Consideration of Operational Environment)

  • 김인석;정원
    • 한국신뢰성학회지:신뢰성응용연구
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    • 제16권3호
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    • pp.224-230
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    • 2016
  • Purpose: Military maintenance involves corrective and preventive actions carried out to keep a system in or restore it to a predetermined condition. This research develops an optimal maintenance cycle for aviation oil testing equipment with acceptable reliability level and minimum maintenance cost. Methods: The optimal maintenance policy in this research aims to satisfy the desired reliability level at the lowest cost. We assume that the failure process of equipment follows the power law non-homogeneous Poisson process model and the maintenance system is a minimal repair policy. Estimation and other statistical procedures (trend test and goodness of fit test) are given for this model. Results: With time varying failure rate, we developed reliability-based maintenance cost optimization model. This model will reduce the ownership cost through adopting a proactive reliability focused maintenance system. Conclusion: Based on the analysis, it is recommended to increase the current maintenance cycle by three times which is 0.5 year to 1.5 years. Because of the system's built-in self-checking features, it is not expected to have any problems of preventative maintenance cycle.

유지보수공사 프로세스기반 BIM-문서 넥서스 구축 (Development of Nexus for BIM and Documents based on Maintenance Process)

  • 한지호;박상헌;윤선재;구교진
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2021년도 봄 학술논문 발표대회
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    • pp.168-169
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    • 2021
  • Maintenance is carried out over a long period of time, and various documents are utilized in the maintenance work. In maintenance work which is progressed simultaneously in a short period of time, it is important to provide relevant information to the parties in a timely manner. As the types of work increase, manager needs more time and effort to select and utilize the documents. It is necessary to have an information system that supports the person in charge by grasping work procedures for each construction and providing the necessary documents and information for that step. This paper proposes an process based nexus model that can provide necessary documents to the parties to the work steps by linking the maintenance work process and BIM. Through the nexus model presented, manager can efficiently acquire the necessary documents and utilize them for the construction works currently being carried out.

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