• 한국신뢰성학회지:신뢰성응용연구
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• 제18권2호
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• pp.114-121
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• 2018

Purpose: This study proposes a process for evaluating the preventive maintenance policy for a system with degradation characteristics and for calculating the appropriate preventive maintenance cycle using time- and condition-based maintenance. Methods: First, the collected data is divided into the maintenance history lifetime and degradation lifetime, and analysis datasets are extracted through preprocessing. Particle filter algorithm is used to estimate the degradation lifetime from analysis datasets and prior information is obtained using LSE. The suitability and cost of the existing preventive maintenance policy are each evaluated based on the degradation lifetime and by using a minimum repair block replacement model of time-based maintenance. Results: The process is applied to the degradation of the reverse osmosis (RO) membrane in a seawater reverse osmosis (SWRO) plant to evaluate the existing preventive maintenance policy. Conclusion: This method can be used for facilities or systems that undergo degradation, which can be evaluated in terms of cost and time. The method is expected to be used in decision-making for devising the optimal preventive maintenance policy.

• 산업경영시스템학회지
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• 제17권31호
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• pp.91-98
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• 1994

Most of machines are physically or chemically degenerated by continuous usage. There- fore, a preventive maintenance is necessary. Producing defects are caused by process shift in mean and variance which are due to three types of degeneration. We develope the function of process variance from the experimental data and determine the optimal tool wear limit and the initial setting position of tool by considering the percent defective cost and the preventive maintenance cost.

• 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.

• Journal of the Korean Data and Information Science Society
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• 제20권6호
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• pp.999-1007
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• 2009

본 논문에서는 무료수리보증이 종료된 이후의 최적의 주기적 예방보전정책을 고려한다. 이를 위해서 Wu와 Clements-Croome (2005) 그리고 Jung (2006b)이 제안한 확률적 보전효과를 갖는 두 종류의 예방보전모형을 가정하고자 한다. 이 때, 시스템이 가동되는 동안에 사용자가 지불해야 할 비용이 주어져 있을 때, 단위시간당 기대비용을 유도한다. 그리고 이렇게 구해진 단위시간당 기대비용을 최소화하는 최적의 예방보전 횟수와 예방보전 주기를 결정한다. 끝으로 수치적 예를 통해서 제안된 예방보전정책을 자세히 설명한다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1989년도 한국자동제어학술회의논문집; Seoul, Korea; 27-28 Oct. 1989
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• pp.733-743
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• 1989

This paper deals with the control of system with controlled jump Markov disturbances. A such formulation was used by Boukas to model the planning production and maintenance of a FMS with failure machines. The optimal control problem of systems with controlled jump Markov process is addressed. This problem describes the planning production and preventive maintenance of production systems. The optimality conditions in both cases finite and infinite horizon, are derived. A numerical example is presented to validate the proposed results.

• International Journal of Reliability and Applications
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• 제3권3호
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• pp.113-124
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• 2002

This paper suggests the optimal periodic preventive maintenance policies after the combination warranty is expired. After the combination warranty is expired, a repairable system undergoes PM periodically and is minimally repaired at each failure. And also the system is replaced by a new system at the N th PM. In this case, we derive the mathematical formula for the expected cost rate per unit time. The optimal number and period for the periodic PM that minimize the expected cost rate per unit time are obtained. Some numerical examples are presented for illustrate purpose.

• 한국신뢰성학회:학술대회논문집
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• 한국신뢰성학회 2005년도 학술발표대회 논문집
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• pp.131-137
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• 2005

In this paper, we propose a Bayesian approach to determine the adaptive preventive maintenance(PM) policy for a general sequential imperfect PM model proposed by Lin, Zuo and Yam(2000) that PM not only reduces the effective age of the system but also changes the hazard rate function. Assuming that the failure times follow Weibull distribution, we adopt a Bayesian approach to update unknown parameters and determine the Bayesian optimal sequential PM policies. Finally, numerical examples of the optimal adaptive PM policy are presented for illustrative purposes.

• 한국신뢰성학회:학술대회논문집
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• 한국신뢰성학회 2006년도 학술발표대회 논문집
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• pp.58-74
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• 2006

• International Journal of Quality Innovation
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• 제7권3호
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• pp.15-23
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• 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 Preventive Medicine and Public Health
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• 제25권4호
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• pp.333-342
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• 1992

The purpose of this study is to estimate the minimum optimal scale(MOS) of the self-employed health insurance associations. Considering the high proportion of operating expenses, the author have selected 254 regional health insurance associations eon the 1990 Finance Report of the self-employed health insurance programs. Both a quadratic function and a hyperbolic function were chosen for the analysis. The dependent variables are the average maintenance cost per insured person and per household, and the independent variables are the number of insured members and of household The minimum optimal scale was obtained from the differentiation of the quadratic function. Major findings are summarized as follows: 1. The M.O.S. was calculated as 166,174 members (27,442 households) for the rural self-employed health insurance associations and 258,462 members (75,446 households) for the urban. Providing that both the rural and urban health insurance associations would be integrated, the M.O.S. be found to become 231,687 members (68,101 households) 2. Compared with the optimal minimum scale, the magnitude of the current health insurance association found to be much smaller, less than half of the optimal scale. 3. In order to reduce the operating cost, it is necessary to enlarge the operational scale of self-employed health insurance associations.