• 제목/요약/키워드: construction cost estimation

검색결과 493건 처리시간 0.025초

제주도 내 회전교차로의 초기공사비 예측모델 개발 (Construction Cost Estimate Modeling of Roundabout at Preliminary Design Stage in Jeju)

  • 안진홍;이동욱
    • 대한토목학회논문집
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    • 제34권4호
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    • pp.1299-1306
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    • 2014
  • 최근 들어 교통사고 예방 및 교통지체 해소는 물론 도로이용자 교통편의를 제공하는 목적으로 회전교차로 설치공사가 많이 발주되고 있다. 그러나 회전교차로 공사에 대한 개략적인 공사비를 예측하는 기준이나 단가가 정립되어 있지 않을 뿐만 아니라, 회전교차로 공사 초기 단계에서의 공사비 예측에 관한 체계적인 연구가 미흡한 실정이다. 본 연구에서는 현재 제주도내에 설치된 회전교차로를 중심으로 공사현장의 여건을 고려한 공사 초기단계에서 회전교차로공사 개략공사비 산정 모델을 제시하고자 하였다. 본 연구에서는 제주도내 25개 회전교차로공사의 설계자료를 바탕으로 회귀분석을 통해 개략공사비 회귀방정식을 도출하였으며, 매우 예측의 정확도가 높은 것으로 분석되었다. 도출된 회귀방정식에 대해서 검증한 결과 회귀방정식을 통한 추정금액과 설계금액과의 오차율이 2.3%, 3.7%, 5.8%의 차이를 보임으로써 매우 예측의 정확도가 높은 것으로 분석되었다.

TBM 공법의 자원기반 적산 방식에 의한 개산 공사비 예측 식 모델 개발 (Development of a model for an equation for estimating construction costs based on the resource-based cost estimating system for TBM)

  • 한승희;박홍태
    • 한국산학기술학회논문지
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    • 제14권3호
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    • pp.1474-1480
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    • 2013
  • 본 연구는 TBM 공법의 구경별 자원기반 적산(원가 계산) 방식에 의한 공사비 적산을 수행하여 직접공사비와 총공사비를 분석하고, 이를 근거로 회귀분석을 수행하여 TBM 공법 구경별 직접공사비 및 총공사비를 추정할 수 있는 개산 공사비(개략 공사비) 예측 식 모델을 제시하였다. 본 연구에서 제시한 TBM 공법의 구경별 개산 공사비 예측 식 모델은 향후 TBM 공법 적용 현장의 사업기획, 예비조사, 타당성조사, 기본설계 단계에서 개산 공사비를 추정하는데 효과적으로 적용할 수 있을 것이다.

A Comparison of Construction Cost Estimation Using Multiple Regression Analysis and Neural Network in Elementary School Project

  • Cho, Hong-Gyu;Kim, Kyong-Gon;Kim, Jang-Young;Kim, Gwang-Hee
    • 한국건축시공학회지
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    • 제13권1호
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    • pp.66-74
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    • 2013
  • In the early stages of a construction project, the most important thing is to predict construction costs in a rational way. For this reason, many studies have been performed on the estimation of construction costs for apartment housing and office buildings at early stage using artificial intelligence, statistics, and the like. In this study, cost data held by a provincial Office of Education on elementary schools constructed from 2004 to 2007 were used to compare the multiple regression model with an artificial neural network model. A total of 96 historical data were classified into 76 historical data for constructing models and 20 historical data for comparing the constructed regression model with the artificial neural network model. The results of an analysis of predicted construction costs were that the error rate of the artificial neural network model is lower than that of the multiple regression model.

유동화공법에 의해 제조한 고유동 콘크리트의 원가분석에 관한 기초적 연구 (A Fundamental Study on the Estimation of Construction Cost of High Fluidity Concrete Applying Flowing Concrete Method)

  • 한민철;손성운;오선교;김성수;한천구
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2002년도 학술.기술논문발표회
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    • pp.99-102
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    • 2002
  • This paper discusses the estimation of construction cost of high fluidity concrete using segregation reducing type superplasicizer with 350kgf/cm2 of design strength and 60$\pm$5cm of slump flow in order to verify the cost down effect of high fluidity concrete compared with that of plain concrete with 350kgf/cm2 of design strength and 18cm of slump and with 210kgf/cm2 of design strength and 15cm of slump. According to research, under same strength levels, although material cost of high fluidity concrete is somewhat higher than that of plain concrete due to segregation reducing type superplasticizer, labor cost and equipment cost of high fluidity concrete is cheaper than that of plain concrete. However, based on the strength differences, high fluidity concrete shows lower material cost, labor cost and equipment cost than that of plain concrete due to decreasing in size of member and re-bar caused by high strength development of concrete.

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BIM기반 물량 및 내역정보 생성을 위한 내역서 개선방안 (Improvement of BoQ Documents for the BIM based Quantity Takeoff)

  • 안지원;윤석헌
    • 한국BIM학회 논문집
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    • 제7권2호
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    • pp.16-24
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    • 2017
  • It is very important to estimate accurate construction total cost needed early in the project. In the initial phase of the design, the project cost estimates are determined by total quantity from design documents and the variables that affect the calculation of the total cost of the project. In order to determine accurate total construction cost, the contractor has to produce detailed quantity information based on the drawings and specifications. The process of preparing quantification and cost estimation documents is still being worked out manually, and a lot of errors have been occurred in many cases. Recent advances in information technology have led to the BIM based quantity takeoff and cost estimation. However, there are some limits to the extent to which the current specifications for BoQ documents are computed from BIM model. This research analyze the current BoQ cases and analyze how to make quantity takeoff possible through BIM. The study defined five levels of quantity category that could be produced by BIM. Only about 40% or indirectly usable items can be used when information is extracted to BIM modelling. This is very insufficient to fill out the BoQ. The BoQ document structure quantity takeoff specifications should be simplified in order to BIM based cost estimation more efficiently.

ASSESSMENT OF THE COST OF UNDERGROUND FACILITIES OF A HIGH-LEVEL WASTE REPOSITORY IN KOREA

  • Kim, Sung-Ki;Choi, Jong-Won
    • Nuclear Engineering and Technology
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    • 제38권6호
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    • pp.561-574
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    • 2006
  • This study presents the results of an economic analysis for a comparison of the single layer and double layer alternatives with respect to a HLW-repository. According to a cost analysis undertaken in the Korean case, the single layer option was the most economical alternative. The disposal unit cost was estimated to be 222 EUR/kgU. In order to estimate such a disposal cost, an estimation process was sought after the cost objects, cost drivers and economic indicators were taken into consideration. The disposal cost of spent fuel differs greatly from general product costs in the cost structure. Product costs consist of direct material costs and direct labor and manufacturing overhead costs, whereas the disposal cost is comprised of construction costs, operating costs and closure costs. In addition, the closure cost is required after a certain period of time elapses following the building of a repository.

추계적 EVMS 기반 예비비 산정 방법론 (Contingency Estimation Method based on Stochastic Earned Value Management System)

  • 곽한성;최병윤;이창용;이동은
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2018년도 춘계 학술논문 발표대회
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    • pp.72-73
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    • 2018
  • The accuracy of contingency estimation plays an important role for dealing with the uncertainty of the financial success of construction project. Its' estimation may be used for various purposes such as schedule control, emergency resolve, and quality expense, etc. This paper presents a contingency estimation method which is schedule control specific. The method 1) implements stochastic EVMS, 2) detects a specific timing for schedule compression, 3) identifies an optimal strategy for shortening planned schedule, 4) finds a probability density function (PDF) of project cost overrun, and 5) estimates the optimal contingency cost based on the level of confidence. The method facilitates expeditious decisions involved in project budgeting. The validity of the method is confirmed by performing test case.

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

  • 권범준;김현규;김용수
    • 한국건설관리학회:학술대회논문집
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    • 한국건설관리학회 2008년도 정기학술발표대회 논문집
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    • pp.851-854
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    • 2008
  • 본 연구는 군관사 건축물의 적정 유지관리비용의 산정을 위하여 수행하였다. 이를 위해 BTL방식으로 발주된 5개의 군관사 건축물을 사례대상으로 선정하였으며, 사례대상 건축물의 초기투자비용을 공종별로 분류한 후 장기 수선비용을 산정하였다. 또한 이렇게 산정된 공종별 장기수선비용을 공동주택 장기수선충당금 산정방법과 현가분석 산정방법을 준용하여 비교 분석하였다. 상기 같은 목적과 방법에 따라 진행된 본 연구의 결론을 요약하면 다음과 같다. 첫째, 초기투자비는 $m^2$당 건축 13,331,712원(79%), 토목 588,125원 (3%), 조경 285,658원(2%), 전기소화설비 760,549원(5%), 난방급탕설비 906,059원(5%), 급수위생설비 960,759원(6%)이며 초기투자비의 총 합계는 16,832,862천원으로 분석되었다. 둘째, 산정된 공종별 초기투자비를 바탕으로 공동주택의 장기수선비용을 산정한 후 공동주택 장기수선충당금 산정방법과 현가분석 산정방법을 각각 준용하여 적정 유지관리비용을 산정하였다.

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A STUDY ON THE DEVELOPMENT OF A COST MODEL BASED ON THE OWNER'S DECISION MAKING AT THE EARLY STAGES OF A CONSTRUCTION PROJECT

  • Choong-Wan Koo;Sang H. Park;Joon-oh Seo;TaeHoon Hong;ChangTaek Hyun
    • 국제학술발표논문집
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    • The 3th International Conference on Construction Engineering and Project Management
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    • pp.676-684
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    • 2009
  • Decision making at the early stages of a construction project has a significant impact on the project, and various scenarios created based on the owner's requirements should be considered for the decision making. At the early stages of a construction project, the information regarding the project is usually limited and uncertain. As such, it is difficult to plan and manage the project (especially cost planning). Thus, in this study, a cost model that could be varied according to the owner's requirements was developed. The cost model that was developed in this study is based on the case-based reasoning (CBR) methodology. The model suggests cost estimation with the most similar historical case as a basis for the estimation. In this study, the optimization process was also conducted, using genetic algorithms that reflect the changes in the number of project characteristics and in the database in the model according to the owner's decision making. Two optimization parameters were established: (1) the minimum criteria for scoring attribute similarity (MCAS); and (2) the range of attribute weights (RAW). The cost model proposed in this study can help building owners and managers estimate the project budget at the business planning stage.

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SCHEMATIC ESTIMATING MODEL FOR CONSTRUCTION PROJECTS -USING PRICIPLE COMPONENT ANALYSIS AND STRUCTURAL EQUATION METHOD

  • Young-Sil Jo;Hyun-Soo Lee;Moon-Seo Park
    • 국제학술발표논문집
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    • The 3th International Conference on Construction Engineering and Project Management
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    • pp.1223-1230
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    • 2009
  • In the construction industry, Case-Based Reasoning (CBR) is considered to be the most suitable approach and determining the attribute weights is an important CBR problem. In this paper, a method is proposed for determining attribute weights that are calculated with attribute relation. The basic items of consideration were qualitative and quantitative influence factors. These quantitative factors were related to the qualitative factors to develop a Cost Drivers-structural equation model which can be used to estimate construction cost by considering attribute weight. The process of determining the attribute weight-structural equation model consists o 4 phases: selecting the predominant Cost Drivers for the SEM, applying the Cost Driers in the SEM, determining and verifying the attribute weights and deriving the Cost Estimation Equation. This study develops a cost estimating technique that complements the CBR method with a Cost Drivers-structural equation model which can be actively used during the schematic estimating phases of construction.

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