• Journal of Information Technology Applications and Management
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• v.10 no.1
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• pp.61-70
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• 2003

Many enterprises have implemented packaged enterprise resource planning (ERP) solutions rather than system development on the promises of feasible strategic benefits. Typical feasible benefits include adoption of global standards and processes through a proven integrated system, continuous version upgrading by vendors, and thus the easiness of system maintenance. The objectives of this research are to identify what makes a post-implementation success of ERP system and to figure out the critical issues and factors for the successful upgrade of packaged ERP systems. This case study was conducted based on five different organizations that have experienced system upgrade implementation. Success factors of ERP system upgrade include (1) clear statement of upgrade goals, (2) good coordination and communication among the implementation partners, (3) thorough management of customization and maintenance history including documentation, (4) Planning of system requirements of higher version, and (5) redefinition of role between business departments and IT department.

• Proceedings of the Korean Society of Agricultural Engineers Conference
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• 2002.10a
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• pp.45-48
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• 2002

Irrigation canal systems were evaluated based on documentations and field survey. Field survey was conducted for main canals using GPS, with respect to canal characteristics such as canal material, presence of weed, potential inflow of sediment, sedimentation, and so forth. Methodology described in this paper could be used for planning maintenance practices.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.17 no.32
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• pp.233-242
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• 1994

This study deals with the derivative adverse minimum for inferiority system depends on continuose operating under infinite planning horizon. This planning will be accomplished by maintenance limit renewal policy in consideration of opportunity cost which affects system by failure during operation periods and expected cost under nomal operation states. By the results, we will be expected incresing total efficiency for the system by optimal renewal policy.

• 제어로봇시스템학회:학술대회논문집
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• 1989.10a
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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.

• Proceedings of the KSME Conference
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• 2003.04a
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• pp.149-156
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• 2003

Recently, the importance of plant maintenance(PM) was highly raised to provide efficient plant operation which highly affects the productivity. For this reason, a number of engineering methodologies, such as riskbased inspection(RBI), fitness for service guidelines(FFS), plant lifecycle management(PLM), have been applied to improve the plant operation efficiency. Also, a network-based business operation system, which is called ERP(Enterprise Resource Planning), has been introduced in the field of plant maintenance. However, there was no attempt to connect engineering methodologies to the ERP PM system. In this paper, a knowledge-based information system for the plant operation of steel making company has been proposed. This system, which is named as K-VRS(Knowledge-based Virtual Reality System), provides a connection between ERP plant maintenance module and knowledge-based engineering methodologies, and thus, enables network-based highly effective plant maintenance process. The developed system is expected to play a great role for more efficient and safer plant maintenance.

• International Journal of Highway Engineering
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• v.19 no.3
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• pp.65-70
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• 2017

PURPOSES : Pavement Management System contains the data that describe the condition of the road. Under limited budget, the data can be utilized for efficient plans. The objective of this research is to develop a mixed integer program model that maximizes remaining durable years (or Lane-Kilometer-Years) in road maintenance planning. METHODS : An optimization model based on a mixed integer program is developed. The model selects a cluster of sectors that are adjacent to each other according to the road condition. The model also considers constraints required by the Seoul Metropolitan Facilities Management Corporation. They select two lanes at most not to block the traffic and limit the number of sectors for one-time construction to finish the work in given time. We incorporate variable cost constraints. As the model selects more sectors, the unit cost of the construction becomes smaller. The optimal choice of the number of sectors is implemented using piecewise linear constraints. RESULTS : Data (SPI) collected from Pavement Management System managed by Seoul Metropolitan City are fed into the model. Based on the data and the model, the optimal maintenance plans are established. Some of the optimal plans cannot be generated directly in existing heuristic approach or by human intuition. CONCLUSIONS:The mathematical model using actual data generates the optimal maintenance plans.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.27 no.11
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• pp.1933-1940
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• 2003

Recently, the importance of plant maintenance(PM) was highly raised to provide efficient plant operation which highly affects the productivity. For this reason, a number of engineering methodologies, such as risk-based inspection(RBI), fitness for service guidelines(FFS), plant lifecycle management(PLM), have been applied to improve the plant operation efficiency. Also, a network-based business operation system, which is called ERP(Enterprise Resource Planning), has been introduced in the field of plant maintenance. However, there was no attempt to connect engineering methodologies to the ERP PM system. In this paper, a knowledge-based information system for the plant operation of steel making company has been proposed. This system which is named as K-VRS(Knowledge-based Virtual Reality System), provides a connection between ERP plant maintenance module and knowledge-based engineering methodologies, and thus, enables network-based highly effective plant maintenance process. The developed system is expected to play a great role for more efficient and safer plant maintenance.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.1
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• pp.274-283
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• 2016

The study of maintenance planning is important in military weapon systems because it can improve their availability and reduce the operational and maintenance cost during the total life cycle. In maintenance planning, it is important to determine the preventive maintenance task and its optimal interval. This paper focuses on the hard time task, which is one of the preventive maintenance tasks. A hard time task removes an item or restorative action before some specified maximum age limit to prevent functional failure. The Monte-Carlo simulation model was proposed to help understand the cost effectiveness of a hard time task. In the simulation, various shape parameters of the Weibull distribution and cost ratio of corrective maintenance to preventive maintenance were assumed. Using a Monte-Carlo simulation, a quantified cost saving effect and optimal preventive maintenance interval were suggested.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.33 no.1
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• pp.41-51
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• 2015

Gosan Yoon, Sundo's Gumswae-dong Garden Heritage has been designated as a National Historical Site 432 including Hyunsan old fortress wall. The site requires maintenance planning. For the plan, it also requires the consideration of Gosan's written documents describing the garden heritage and the site survey with on-site inspections for authentic maintenance approaches. It should be based on the thorough comprehension of historical remains. The site is a traditional ancient garden, so its approaches should be different with a historic structure and building. For the planning, the study conducts the interview of residents and experts, literature review, the investigation of historical materials, site survey, and the analysis of aerial photography. The results are following:5) Firstly, the paper suggests three types of an excavation area selection: core, recommend and investigation. Secondly, of 22 landscapes named by Gosan, it has the plan of guidance facilities, vegetation maintenance, safety facilities, landscape maintenance as view points, pathway maintenance, deck, and halting place. Thirdly, it also suggests pathway plan for authentic garden promenade according to the literature of Gumswaedong-Gi, an old map and aerial photography(1967, 1976, 1990), and interviews with residents. Fourthly, it suggests vegetation refurbishment at the site to check erection time and to require a preservation plan. In a case of no historic remains part, it also has a plan of amenities for visitors and wetlands for biodiversity of ecology and landscape. Finally, although it requires excavation and more historical evidences for the Hyunsan fortress wall, it suggests a maintenance plan of Pyeonchuksseong and Hyeopchuksseong partially.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.57 no.8
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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.