• Title/Summary/Keyword: Maintenance cost

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A Study on the Rationalization of Management and Maintenance Cost for Railway Investment Assessment - Focus on High Speed Railway - (철도투자평가를 위한 운영.유지보수비용 합리화 방안 - 고속철도를 중심으로 -)

  • Suh, Sang-Kyo;Sung, Deok-Yong;Roh, Byoung-Kuk;Park, Yong-Gul
    • Proceedings of the KSR Conference
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    • 2009.05a
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    • pp.331-340
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    • 2009
  • This study is objected by suggesting rationalization method of management and maintenance cost for railway investment assessment. The estimate of rational benefit and cost are a work of vital importance to decide railway investment as preliminary feasibility investigation is institutionally reinforced since January 2007. In particular, railway management and maintenance cost have to be applied to realistic and detail cost as railway investment assessment guide. For example, types of railway, construction of new line, improvement of conventional line, double tracking, railway electrification. However, railway investment assessment is inconsistency because of estimating the railway management and maintenance cost using existing unrealistic management and maintenance cost. Therefore, this study is performed parametric analysis effecting on the railway management and maintenance cost considered new technique, enhanced facilities and improved standard. Also, it suggests the itemized standard management and maintenance cost. Finally, it will be helped to establish the base of railway investment through the rationalization method of management and maintenance cost.

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A Study on the Maintenance Cost Elasticity of the Apartment Housing (공동주택의 관리비 증감특성 연구)

  • Lee, Kang-Hee;Chae, Chang-U;Park, Guen-Soo
    • Journal of the Korean housing association
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    • v.22 no.6
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    • pp.51-60
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    • 2011
  • The maintenance cost depends on various factors such as building volume, floor area, number of household and so on. The maintenance cost of the apartment housing is affected by the maintenance type, building physical factor, sociogeographic aspects. Among these, the maintenance characteristics is represented and made up by the total floor area and number of household which means main factor to provide the building scale roughly. In this paper, it aimed at modelling the estimation function of the maintenance cost with the total floor area and number of household and analyzing the elasticity of the two factors. Although items of maintenance cost are various in general cost, repair cost and so on, we classified these items into the 5 categories. 5 categories are a general cost, a facility maintenance cost, a utilization cost, insurance and sanitary cost. The estimation function used a power function and it has better goodness-offitness than any other estimation methods in statistics. A power function has a three curve types with concave and convex and linear style to the origin.

A Study on the Maintenance Cost Estimation Model for Application Software by Considering Risks (위험을 고려한 응용소프트웨어의 유지관리비용 산정모델에 관한 연구)

  • Jeong, Hyung Jong;Koo, Eun Young;Han, Kyeong Seok
    • Journal of Information Technology Services
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    • v.14 no.3
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    • pp.67-84
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    • 2015
  • Software is more diverse and complex and the level of importance for the maintenance of application software to securely operate software is also gradually increasing in proportion. The calculation method for maintenance cost of application software applied in Korea public enterprises is involved in the range of 10 to 15% of development cost, depending on the Software Project Cost Estimation Guide. Moreover, as most software maintenance cost estimation procedures do not take into consideration of the risk factors related of maintenance, it can be seen as a main cause for the occurrence of maintenance related accidents. This study proposes a maintenance cost estimate model that takes into consideration of the risks related to the software maintenance activities to improve and resolve issues arising from the estimation of maintenance cost. In doing so, maintenance risk factors are analyzed and a risk index is derived through the analysis of risk levels based on the risk factors. Based on such analysis, a maintenance cost estimate method which reflects the maintenance risk index was established.

A Case Study of maintenance cost estimation for military official residence building in BTL project (BTL사업 군관사 건축물의 유지관리비용 산정에 관한 연구)

  • Kwon, Bum-Joon;Kim, Hyun-Kyu;Kim, Yong-Su
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • 2008.11a
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    • pp.851-854
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    • 2008
  • The purpose of this study is to predict the maintenance cost for military official residence building projects which were ordered for five military official residence building. In conducting this study, the adapted research method was to classify initial investment for each construction of the military official residence building and to estimate maintenance cost. This study was analyzed by studying the estimation of maintenance cost in the apartments and present value analysis method. The results of this research are as follows. 1) The initial investments was analyzed that the total construction cost would be 1,683,286 thousand won ; construction(79%), civil(3%), landscaping(2%), MEP(5%), heating and hot water supply system(5%), and water supply and sanitary system(6%) per square meter. 2) Based on the result analyzed above, the maintenance cost of the apartments was analyzed and then estimated the proper maintenance cost by using maintenance cost estimation method and present a value analysis method.

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A Concept of Probabilistic Maintenance Cost Analysis Considering Risk Factors of Aged Multi-Family Housing (노후 공동주택의 위험요인을 고려한 확률적 유지관리비 분석 개념)

  • Park, Moon-Sun;Won, Seo-Kyung
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2019.05a
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    • pp.246-247
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    • 2019
  • This study was conducted to provide useful information to enable planned repair and cost planning during the operation and maintenance phase of aged multi-family housing. For this purpose, The concept of probabilistic maintenance cost analysis considering the risk factors of the aged multi-family housing is presented in the following six steps. 1. Risk factor investigation and analysis 2. Classification and deriving of maintenance cost 3. Investigation and deriving cost maintenance cost of old apartment house 4. Analysis of expert questionnaire 5. Analysis of Monte -Carlo simulation 6. Probabilistic maintenance cost Deriving the result. This study has limitations that need to be verified by applying actual data.

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The Estimation Method of Equipment Maintenance Cost (장비유지비 소요 예측 기법 연구)

  • Kim, Jeong-Ki
    • Journal of the military operations research society of Korea
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    • v.34 no.3
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    • pp.41-51
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    • 2008
  • Advanced high-tech weapons have enormous affect on combat strength in modern warfare. However, lack of maintenance can cause decrease in equipment operating rate as well as decrease in expectation on demonstrative effect of combat strength during wartime. Therefore it is essential for combat readiness that the optimum requirement of equipment maintenance cost are forecasted and included in the budget. In this paper, the trend of equipment maintenance cost about K-111 1/4t military vehicle is first analyzed by evaluating the performance data of field operation. Secondly, based on above analyzed results, the forecasting model of equipment maintenance cost is designed. Finally, by applying this forecasting model, suggestion and estimation method of equipment maintenance cost have presented for the foreseeable future.

A Study on the Maintenance Cost Estimation Model of the Apartment Housing (공동주택의 관리비 추정모델 연구)

  • Lee, Kang-Hee;Yang, Jae-Hyuk;Chae, Chang-U
    • Journal of the Korean housing association
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    • v.21 no.2
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    • pp.59-67
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    • 2010
  • The maintenance cost plays a important role to plan the scale of the apartment housing such as a number of household, building area and building type. Therefore, it is required to forecast the cost considering various maintenance characteristics. The maintenance characteristics are floor area, number of household, heating type, site area and etc.. In addition, the maintenance cost are classified into 5 area. These are a personal expense, facility maintenance cost, energy and water cost, insurance and sanitary cost. These five cost area are related with various characteristics and brought up the estimation model using the stepwise multiple regression analysis. The energy and heating cost share over the 50% in the total cost and the personal expense cost shares about 40%. The personal expense cost per area is 5,272 won/$m^2{\cdot}yr$ irregardless of heating type and the district heating type is a higher cost than other type. In facility maintenance cost, the central heating type is 2,015 won/$m^2{\cdot}yr$ and higher than other type. The estimation models have good statistics in each model. Most of the model have a determination coefficient over 0.7 and Durbin Watson value between 1.5 and 2.5.

Investigating the Maintenance Cost of Rest Areas: A Case Study of Nevada

  • Shrestha, Kishor;Shrestha, Pramen P.
    • International conference on construction engineering and project management
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    • 2022.06a
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    • pp.624-631
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    • 2022
  • Highway Rest Areas are envisioned to provide an accessible space for rest and parking for travelers, especially those driving a long distance. In addition, modern highway Rest Areas provide many amenities to highway users, including wifi service, picnic tables, litter barrels, running water, public telephones, and sometimes even free coffee. Various studies were conducted in the domain of Rest Area facility design and their operating costs in different states; however, limited studies were conducted on the maintenance costs of these facilities. Therefore, this study's main objective is to compute the annual maintenance cost of Rest Areas in the state of Nevada. This study also analyzes the main cost categories of the maintenance works. The raw cost data of Nevada Rest Area maintenance from 1990 to 2012 were collected from the Nevada Department of Transportation (NDOT). Results show that the maintenance cost fluctuated over the study period; the maintenance cost decreased from 1991 to 2004 and then increased until 2012. The primary cost categories of maintenance work are labor, equipment, and material costs. Among these, labor cost was the largest category with 56 percent of the total maintenance cost, followed by equipment cost and material cost. The findings of this study may help NDOT and other transportation agencies plan their budget for future Rest Area maintenance activities.

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An Investigation of the Relationship between Revenue Water Ratio and the Operating and Maintenance Cost of Water Supply Network (상수관망 유수율과 유지관리 비용의 관계 분석)

  • Kim, Jaehee;Yoo, Kwangtae;Jun, Hwandon;Jang, Jaesun
    • Journal of Korean Society on Water Environment
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    • v.28 no.2
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    • pp.202-212
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    • 2012
  • Due to the deterioration of water supply network and the deficiency of raw water, the water utility of local governments have performed various projects to improve their revenue water ratio. However, it is very difficult to estimate the cost for maintaining the revenue water ratio at higher level after completing the project, because local governments have different conditions affecting the operating and maintenance cost of water supply network. The purpose of this study is to present a procedure to estimate the operating and maintenance cost required to maintain the target revenue water ratio of the water supply network. For this purpose, we estimated the cost used only for operation and maintenance of water supply network of 164 local governments with the aid of K-Mean Clustering Analysis and the data from 40 representative local governments. Then, the regression analysis was performed to find relationship between revenue water ratio and the operating and maintenance cost with two different data sets generated by two classification methods; the first method classifies the local governments by means of k-means clustering, and the other classifies the local governments according to the index standardized by the operating and maintenance cost per unit length of water mains per revenue water ratio. The results shows that the method based on the index standardized by the cost and revenue water ratio of each government produces more reliable results for finding regression equations between revenue water ratio and the operating and maintenance cost only for water supply network. The estimated regression equations for each group can be used to estimate the cost required to keep the target revenue water ratio of the local government.

The Cost and Adjustment Factors Estimation Method from the Perspective of Provider for Information System Maintenance Cost (공급자 관점의 정보시스템 유지보수 비용항목과 조정계수 산정방안)

  • Lee, ByoungChol;Rhew, SungYul
    • KIPS Transactions on Software and Data Engineering
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    • v.2 no.11
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    • pp.757-764
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    • 2013
  • The estimation of maintenance cost of information system so far has been conducted centered on the ordering body, so the problem of provider's having to cover the cost due to small cost compared to the amount of work is not solved. This study is a base study for estimating the maintenance cost of information system centered on provider, and it deduces cost items of maintenance and suggests adjustment factors for adjusting the gap between the ordering body and provider regarding the maintenance cost. In order to deduce the cost items of maintenance, this study adds the activities of the provider for maintenance to the base study of cost factors regarding the existing maintenance activity, divides, and classifies them into the fixed cost and variable cost. In order to adjust the gap between the ordering body and provider regarding the maintenance cost, this study found the adjustment factors such as the code, utility, and components created by the automatic tool that was not included when estimating the maintenance cost centered on the ordering body. After examining and analyzing K Company's data of maintenance performance for three years, it confirmed that the gap regarding the adjustment factors was about 13% in case of K Company.