• Journal of Korean Society of Industrial and Systems Engineering
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• v.26 no.2
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• pp.1-8
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• 2003

The operation and management of a plant require proper accounting for the constraints coming from reliability requirements as well as from budget and resource considerations. Most of the mathematical methods to decide the inspection time interval for plant maintenance by reliability theory are too complicated to be solved. Moreover, the mathematical and theoretical models are not usually cases in the practical applications. In order to overcome these problems, we propose a new the decision-making method of optimal inspection interval to minimize the maintenance cost by reliability theory and genetic algorithm (GA). The most merit of the proposed method is to decide the inspection interval for a plant machine of which failure rate $\lambda$(t) conforms to any probability distribution. Therefore, this method is more practical. The efficiency of the proposed method is verified by comparing the results obtained by GA-based method with the inspection model haying regular time interval.

• Proceedings of the KSR Conference
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• 2010.06a
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• pp.1033-1037
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• 2010

Railway signal facilities are very important because they are directly related to safe train operation. By the result of the unification of signal and station control, station control staffs have been having a hard time to grasp the knowledge about signal facilities and the fault restoration ability in a short term since the existing manuals were only made with text materials. To meet the growing demand to educate the maintenance work in actual and effective way, the maintenance manuals and periodic procedures was developed in the forms of video clips and animations with quality contents onto a DVD enabling not only to improve the maintenance works for signal facilities but to contribute budget saving and profit generating.

• 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 Korean Society for Railway
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• v.12 no.1
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• pp.88-94
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• 2009

Life cycle costing is one of the most effective approaches for the cost analysis of long-life products such as the railroad vehicle. Life cycle costing includes the cost of concept design, development, manufacture, operation, maintenance and disposal. Especially, life cycle costing in the railroad industry has been focused on the maintenance cost. In this paper, the standard, guide and maintenance information of railroad vehicle were investigated, and the unique corrective and preventive maintenance templates of railroad vehicle were proposed. Maintenance cost of an auxiliary power supply system of EMU was predicted by using the proposed templates. The results show that the preventive maintenance, PM, cost is much higher compare to corrective maintenance, CM, cost because of daily and monthly maintenance tasks which require lots of labor work. It is expected that these templates can help railroad operators make maintenance strategies with consideration of the cost parameter.

• Journal of the Korean Operations Research and Management Science Society
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• v.38 no.3
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• pp.13-22
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• 2013

Queueing system with scheduled arrivals is useful in many fields where both customers' waiting time and servers' operation time (utilization) are important, and arrival time of customers is possible to be controlled. In this paper, we analyzed the operation of ship maintenance with the queueing system with scheduled arrival. Based on the model presented by Pegden and Rosenshine [8], who dealt with exponential service time, we extended the service time distributions to phase-type distribution which is able to include a wide range of real stochastic phenomena. Since most activities in the military are carried out under tight control and schedule, scheduled arrival queue has quite good applicability in this area. In this context, we applied queue with scheduled arrival to the optimal booking time decision for the ship maintenance in the navy.

• The Journal of the Korea institute of electronic communication sciences
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• v.13 no.2
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• pp.457-462
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• 2018

Railway system has been unmanned and high-speedy. Korean railway corporations need a more effective and smarter system for operation and maintenance. So there are many theses that studied the intelligent operation and maintenance system using vision based technologies for railway corporation. This paper analyzes domestic theses which studied the intelligent vision based system for railway safety, railway vehicle and facilities and proposes research which uses the more powerful vision based technology with deep-learning for railway corporation.

• Proceedings of the Korean Nuclear Society Conference
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• 1996.05b
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• pp.631-636
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• 1996

This paper presents a Reliability Centered Maintenance (RCM) framework for implementation on safety system of nuclear power plant (NPP). RCM is a systematic methodology to optimize the surveillance and maintenance tasks for critical components which provides efficiently and effectively reliability of system and safety of plant. Maintenance of the safety systems is essential for its safe and reliable operation. Reliability Centered Maintenance at NPP is the program which assure that plant system remains within original design criteria and that is not adversely affected during the plant life time. Aim of this paper is to provide the RCM framework to implement it on safety systems. RCM framework is described in four major steps.

• Journal of the Korea Society of Computer and Information
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• v.9 no.2
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• pp.63-68
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• 2004

In this study We designed development and operation of computer maintenance & repair system which is efficient and systematic on the disorder of PC in the places with many computers such as company, public organization, school, etc. We designed so as to clearly measure and manage the service level by using SLA(Service Level Agreement) technique which is being used actively in network maintenance & repair contract And We designed system which can provide One Stop Service so that the whole process of service including service demand point, maintenance & repair activity, user's satisfaction.

• Journal of Internet of Things and Convergence
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• v.8 no.6
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• pp.55-63
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• 2022

In recent years, with the rapid development of large and medium-sized urban rail transit in China, the total operating mileage of high-speed railway and the total number of EMUs(Electric Multiple Units) are rising. The system complexity of high-speed EMU is constantly increasing, which puts forward higher requirements for the safety of equipment and the efficiency of maintenance.At present, the maintenance mode of high-speed EMU in China still adopts the post maintenance method based on planned maintenance and fault maintenance, which leads to insufficient or excessive maintenance, reduces the efficiency of equipment fault handling, and increases the maintenance cost. Based on the intelligent operation and maintenance technology of PHM(prognostics and health management). This thesis builds an integrated PHM platform of "vehicle system-communication system-ground system" by integrating multi-source heterogeneous data of different scenarios of high-speed EMU, and combines the equipment fault mechanism with artificial intelligence algorithms to build a fault prediction model for traction motors of high-speed EMU.Reliable fault prediction and accurate maintenance shall be carried out in advance to ensure safe and efficient operation of high-speed EMU.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.5
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• pp.2724-2731
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• 2014

As the future national defense plan of government focus on advanced weapon system, military maintenance facility becomes more important. However, military maintenance facility has been managed by director's experience and simple mathematical calculation until now. Thus, the optimization for the management of military maintenance facility is suggested by more scientistic and logical methods in this study. The study follows the procedure below. First, simulation is designed according to the analysis of military maintenance facility. Second, independent variable and dependent variable are defined for optimization. Independent Variable includes the number of maintenance machine, transportation machine, worker in the details of military maintenance facility operation, and dependent variable involves total maintenance time affected by independent variable. Third, warmup analysis is performed to get warmup period, based on the simulation model. Fourth, the optimal combination is computed with evolution strategy, meta-heuristic, to enhance military maintenance management. By the optimal combination, the management of military maintenance facility can gain the biggest effect against the limited cost. In the future, the multipurpose study, to analyze the military maintenance facility covering various weapon system equipments, will be performed.