• Journal of the Korea Safety Management & Science
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• v.3 no.4
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• pp.103-112
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• 2001

In Factory, as the number of machine is increased the more maintenance efforts are necessary. Multi maintenance issues may occur at a certain time and the determination of maintenance sequence is needed. In this study, we first compare the priority of machines and the impact value using modified FMEA(Failure Mode Effect and Analysis) method. Also, CBR(Case-based Reasoning) approach is applied to retrieve similar fault cases of current machine problem. The proposed methodology will be useful to implement decision support system of maintenance sequence for CMMS/EAM (Computerized Maintenance Management System/Enterprise Asset Management).

• Korean Journal of Construction Engineering and Management
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• v.13 no.4
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• pp.69-77
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• 2012

The construction data should be controlled from the life-cycle perspective. The current PMIS (Project Management Information System) usually focuses on the construction operation stage. The PMIS does consider the utilization of the construction in the maintenance of constructed facilities. This paper tries to interface the construction data with the maintenance data for effective use of construction data in the life-cycle perspective. To achieve the research objective, a maintenance breakdown structure is established and connected to the work breakdown structures. The connection of the two breakdown structures provide a structured utilization of construction data for efficient maintenance work activities. A prototype suggests that the interface of maintenance and work breakdown structures can help provide a construction and maintenance data in a more efficient way for maintenance activities.

• Journal of the Korea Society of Computer and Information
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• v.24 no.7
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• pp.125-133
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• 2019

Because military weapons systems for special purposes are small and complex, they are not easy to maintain. Therefore, it is very important to maintain combat strength through quick maintenance in the event of a breakdown. In particular, naval ships are complex weapon systems equipped with various equipment, so other equipment must be considered for maintenance in the event of equipment failure, so that skilled maintenance personnel have a great influence on rapid maintenance. Therefore, in this paper, we analyzed maintenance data of defense equipment maintenance information system through text mining and social network analysis(SNA), and tried to identify the naval ship maintenance expertise. The defense equipment maintenance information system is a system that manages military equipment efficiently. In this study, the data(2,538cases) of some naval ship maintenance teams were analyzed. In detail, we examined the contents of main maintenance and maintenance personnel through text mining(word cloud, word network). Next, social network analysis(collaboration analysis, centrality analysis) was used to confirm the collaboration relationship between maintenance personnel and maintenance expertise. Finally, we compare the results of text mining and social network analysis(SNA) to find out appropriate methods for finding and finding naval ship maintenance expertise.

• Journal of Applied Reliability
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• v.16 no.4
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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.

• Journal of Applied Reliability
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• v.18 no.2
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• pp.184-191
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• 2018

Purpose: The purpose of this study is to propose a method to calculate the optimal preventive maintenance cycle of radar used in the aviation weapon system of ROKAF. Methods: A hybrid model is used to estimate the optimal preventive maintenance cycle in a system that can perform condition based predictive maintenance (CBPM) through continuous diagnosis. The failure data of the radars operating in the military were used to calculate the reliability. Results: According to the research results, the reliability threshold of the radar began to decrease after 5 flights, and decreased rapidly after 12 flights. Since the second check, costs have continued to decline. Conclusion: A method is proposed to determine the cycle of optimal preventive maintenance of radar within operational budget through modeling results between reliability limit and cost for radar. The results can be used to determine the optimal preventive maintenance cycle and frequency of various avionics equipment.

• Proceedings of the Korean Geotechical Society Conference
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• 2000.03b
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• pp.303-308
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• 2000

By means of analyzing of monitoring technology and monitoring regulation based on maintenance monitoring system installed in subway tunnel section, it needs monitoring system, development of operating program, monitoring analyzing system and development of analysis method, establishment of maintenance monitoring standard specification, and performance of responsible monitoring supervision for applying to subway monitoring maintenance effectively in future. It requires specialized monitoring and legislation of monitoring subcontract, improvement of monitoring work contract method, establishment the standard payment of monitoring, and effective calibration and correction of monitoring system in the plan of improving monitoring regulation.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.17 no.32
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• pp.221-226
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• 1994

Almost preventive maintenance policies assumed that the system after pm has failure rate as before pm with probability p and as good as new with probability 1-p. This paper considers the s-expected cost of the model with imperfect periodic preventive maintenance that increasing minimal repair costs at failure and obtains the optimum periodic preventive maintenance time. Numerical example are shown in which the failure time of the system has gamma distribution.

• Journal of the Korea Society of Computer and Information
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• v.20 no.12
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• pp.175-180
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• 2015

It is important to maintain information system (IS) following the business and institutional change. Even if successfully developed information systems, we cannot gain the benefit from the systems without the proactive maintenance activities. However, the importance of IS maintenance has not been considered as much as the system development, and we don't have any specific performance management structure. The objective of this study is to identify the relationship between IS maintenance activities and utilization. For empirical test of the hypothesis model, the sample data is collected from public information system sites. Results from multiple regression analysis reveal that proactive maintenance activities including IS maintenance cost increase, improving functionality, and enhancing ease of use have a causal effect on the IS utilization.

• Proceedings of the KSME Conference
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• 2004.04a
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• pp.2059-2063
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• 2004

Most power plants have operated many independent computerize systems for maintenance. Independence of systems have caused complexity of business process and inconvenience of computer system management. Because the equipment and material master data is not standardize and structurize, it is difficult to manage equipment maintenance history and material delivery. Especially equipment classification criterion is important for standardization of every maintenance information. It is necessary to integrate function of independent systems for business process simplification and rapid work flow. this paper provides equipment classification criterion design and system integration method with the case of live system development.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2020.11a
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• pp.57-58
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• 2020

Recently, government office buildings have become important in reducing maintenance costs. However, the loss of information raised a problem for maintenance work that could not meet the needs of users. Therefore, this study proposed a BIM-based integrated maintenance system for public offices in Jeju to efficiently maintenance work. The system can be integrated with IoT sensors, big data and artificial intelligence technologies to integrate information that occurs throughout the building's entire life cycle to exchange information. This system is also scalable to buildings, plants, region and urban infrastructure facilities as well as single buildings. It is expected that the system will provide reliable, high-quality, real-time information for efficient maintenance work, thereby supporting decision making and appropriate budget planning.