• Proceedings of the Korean Institute of Building Construction Conference
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• 2015.05a
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• pp.243-244
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• 2015

This paper presents a Stochastic Long-Term Maintenance Costs Estimating Method for the Apartment Housing (SLCE). A simulation approach is used for generating the stochastic long-term maintenance cost, and it is based on the defined variability in repair cycle of the individual maintenance elemental within the process. SLCE provides the probability distribution of the budget required to maintain the apartment housing. A case study is presented to demonstrate and to validate the system.

• Korean Journal of Construction Engineering and Management
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• v.8 no.6
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• pp.207-215
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• 2007

The purpose of this study is to predict the long-term maintenance expense of BTL school projects which were ordered from the Ministry of Education and Human Resources Development and each Metropolitan and Province Office of Education. For conducting this study, the adapted research method includes a case study of BTL school projects ordered from Seoul Metropolitan Office of Education in 2006. After examination of initial investment based on each $school^{\circ}{\phi}s$ operation account, it estimates maintenance expense and long-term maintenance expense. Also it compare using two methods: one is the long-term maintenance expense estimation in apartment houses and the other is AEAM(annual equivalent amount method). The results of this study are as follows: 1) It is analyzed long-term maintenance expense rates of each BTL school. As a result, it is construction(14.0), civil(1.4%), mechanical(6.5%), equipment(6.5%), electronic(11.0%), fixture(5.1%) and the rest(1.0%). 2)It is applied using two methods: one is the long-term maintenance expense estimation in apartment houses and the other is AEAM. Finally, It is compared expense deflection per $100{\beta}{\ge}$ in each month.

• Journal of the Korea institute for structural maintenance and inspection
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• v.2 no.3
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• pp.194-204
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• 1998

This study was performed to suggest the proper maintenance method for the deteriorated gerber type PC box girder bridge by using the long term displacement monitoring data. For this study, the monitoring system which can measure the long term displacement and the concrete surface temperature was designed and operated. From the measurement and structural analysis results, the cause of the permanent deformation which the bridge has already was estimated, and based on this result, the allowable permanent displacement value at the hinge was suggested. From this study, it was known that the long term monitoring system can be applied to the active maintenance of the deteriorated bridge and the suggested allowable permanent displacement could be used for the maintenance of the bridge.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.495-500
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• 2001

After the completion of an apartment housing project, deterioration of building materials will commence over time. Building maintenance consists of short-time and long-term repair projects. A long-term repair plan for organized maintenance management should be developed and implemented to maintain the longevity of the building. When forming such a plan, one should carefully predict when each part of the building will need repairs and how often subsequent repairs of each part will occur. The plan should be based on these predictions. Many apartment buildings in Korea have poor long-term maintenance management plans. This is because many of these plans are developed as mere legal formalities rather than as serious attempts to maintain the longevity of buildings. In this study, the materials used in the construction of each part of an apartment building we selected are taken into account to predict when the repairs will be required and how frequently subsequent repairs will be required. Furthermore, We suggest a long-term maintenance management plan for elongation so that apartment house managers can use to periodically check, diagnose, and replace old or malfunctioning parts using a web-based maintenance calender.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.533-536
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• 2003

Tn improve the quality in apartment houses, it has regarded one of the most important steps as systematic maintenance. Also, repair and long-term maintenance have played an important role in maintenance of the rental apartment. Moreover, the historical data which come from these works have functioned as preventive maintenance in inspection and references in repair and long-term maintenance. To sum up, it would be necessary to get rid of the factors of dispute from sharing a variety of data among occupants, superintendents, and proprietors. Futhermore, it would be possible to show the management methods of repair and long-term maintenance historical data.

• The Journal of the Korea Contents Association
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• v.20 no.7
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• pp.149-160
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• 2020

The purpose of this study is to analyze factors affecting a grade maintenance of the non-graded group by LTCI(Long-Term Care Insurance, NHIS). The predictors were examined grade maintenance of the non-graded group(non-grade of A, B, C). The results were as follows: this study found that predisposing factors of the grade maintenance of non-graded of LTCI were significantly related to age, sex, death. Enabling factors of the grade maintenance of non-graded of LTCI were significantly related to household state, income level. Need factors of the grade maintenance of non-graded of LTCI were significantly related to dementia, grade of first grading, retry of applying for long-term care assessment. Based on the finding of study, implications and future research directions were discussed for policy considerations.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.67 no.4
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• pp.505-511
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• 2018

Long term capacity expansion planning has to be carried out to satisfy pre-defined system reliability criterion. For purpose of assessing system reliability, probabilistic simulation technique has been widely adopted. However, the way how to approximate generator outage, especially maintenance outage, in probabilistic simulation scheme can significantly influence on reliability assessment. Therefore, in this paper, 3 different maintenance approximation methods are applied to investigate the quantitative impact of maintenance approximation method on long term capacity expansion planning.

• The Journal of the Korea Contents Association
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• v.18 no.1
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• pp.76-89
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• 2018

The purpose of this study is to analyze factors affecting a grade maintenance of long-term care service users. Using 2008-2014 long-term care raw data of National Health Insurance Service(NHIS), the predictors were examined through the logistic regression by long-term care beneficiaries of grade. The results showed that there are differences by 3 factor groups and grade groups(1-3 grade). In socio-demographic factors, in the 1, 3 grade, Individuals 64 or younger presented a much higher probabilities of the grade maintenance than those 85 and over. In the 3 grade, people of living alone, resident of rural area presented a much higher probabilities of the grade maintenance than others. In disease factors, In the 1 grade, people with dementia presented a much higher probabilities of the grade maintenance than other 2, 3grades. In the 2 grade, people with stroke, fracture presented a much higher probabilities of the grade maintenance than others. In the 3 grade, people with cancer presented a much higher probabilities of the grade maintenance than others. In service factors, In the 2, 3grade, people having more renewal numbers presented a much higher probabilities of the grade maintenance than others. In the 1 grade, people who use facility benefits for more days presented a much higher probabilities of the grade maintenance than others. In the 2 grade, people who use in-home benefits for more days presented a much higher probabilities of the grade maintenance than others. Based on the finding of study, implications and future research directions were discussed for policy considerations.

• Korean Journal of Construction Engineering and Management
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• v.23 no.3
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• pp.83-94
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• 2022

The number of public rental housing has increased according to the government's 「Housing Welfare Roadmap (2017)」, and facility maintenance costs for the demand of improvement of performance and residential standards due to the aging of long-term public housing are significantly increasing. Consequently, the financial burden of public housing rental business for maintaining stocked housing is aggravated. However, there is a lack of objective data to analyze the size of the maintenance costs that are executed by the type of repair work, and the elapsed years of the aged long-term public rental housing. This study analyzes the execution status of 33 long-term public rental housing complexes located in Seoul for 14 to 28 years of elapsed years based on the data of maintenance costs. In addition, this study proposes a model to predict the maintenance costs by elapsed years by dividing 'Long-term Repair Plan Work and Government-Funded Project [Y₁]', 'Planned Repair Work and General & Unplanned Repair Work [Y₂]', and 'Total maintenance costs [Y₃]'. It is intended to be used as basic data for the establishment of the maintenance plan at the stage of setting up the budget and the establishment of the sustainable operation plan for public rental housing

• Journal of the Korean housing association
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• v.22 no.4
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• pp.83-92
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• 2011

Apartment is settled down as a main housing type and massive supply has been conducted since 1990's. The government has focused on the housing supply to improve the housing number and cut its price. On the contrary, the management of the housing has been neglected to get an early deterioration. Since 1995's, various ways have been made to improve and maintain the building function and performance. Among these, the long-term repair plan has played a main role to manage the housing condition and plan the repair schedule for preparing the massive cost of repair such as a roof proof, elevator change. The long-tern repair plan provides the repair time and repair rate according to various construction types. Most of the management agent apply the repair standard into the field area. But the repair time could not reflect the present condition and bring into the wrong maintenance. Therefore, the repair time for the long-term maintenance plan would be revised and reflected from the material and technology development. |n this study, it aimed at improvement for the repair time in various construction types which are provided in the long-term repair plan. For this, the 22 management agents are surveyed directly. This study shows that the repair time of the painting are correspondent to the repair time of the long-term plan irregardless of the painting materials. Most of other areas would correspondently similar to the long-term plan. This study could not include the building location, material and other haracteristics. Therefore, the further study would be needed to reflect the building and materials attributes to get the detailed repair time.