• 제목/요약/키워드: Historical cost data estimating

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대·소규모 토목공사의 실적공사비 비교 분석 (Comparative Analysis on Unit Price based on Historical Cost Data Estimating for Large and Small-scale Civil Engineering Works)

  • 홍성호;신주열;김창학;이동욱
    • 대한토목학회논문집
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    • 제33권4호
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    • pp.1707-1718
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    • 2013
  • 실적공사비 제도는 2004년부터 도입된 제도로서, 과거의 유사 공사의 계약단가를 토대로 공종별 단가를 파악하여 예정가격을 결정하는 방식이다. 이러한 실적공사비 단가는 매년 2회 한국건설기술연구원에서 발표하고 있다. 소규모 공사의 공사비 단가는 작업단위당 생산비용 증가, 장비 및 노무비 등 상승으로 인해 대규모 공사보다 높을 수밖에 없는 것이 건설공사의 특성이다. 그러나 실적공사비 단가가 공사의 규모와 무관하게 일률적으로 적용되고 있어 문제점으로 대두되고 있다. 본 연구에서는 이러한 실적공사비 제도의 문제점을 파악하기 위해서 대 소규모 토목공사의 실적공사비를 비교 분석하였으며, 소규모 토목공사의 실적공사비가 대규모 토목공사에 비해 21.8% 높은 결과가 도출되었다.

유도무기 획득단가 추정 모델 개발에 관한 연구 (A Study on Developing the Acquisition Unit Cost Estimating Model of the Guided Weapon System)

  • 김용현;이용복;정원일;김동규;강성진
    • 한국군사과학기술학회지
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    • 제15권5호
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    • pp.565-576
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    • 2012
  • Cost estimates are necessary for government acquisition program to support decisions about funding, to develop annual budget requests and to validate resource requirements at key decision points. Many researches have been done about cost estimating technique recently. Parametric cost estimating models based on CERs(Cost Estimating Relationships) have been mainly used using regression method with historical data. However, there are many restrictions in developing Korean version CERs because the number of data points are too small. Specially, data collection and data management system are unstable in Korean defense environment, when developing CERs. In this research, we analyzed the historical data, and found some cost drivers in guided weapon system area. We developed the Acquisition Unit Cost CER using the regression to remove multicollinearity in the historical data. So we could overcome the restriction of the insufficient sample number. This research as a first attempt is meaningful in terms of obtaining our own Acquisition Unit Cost CER using historical cost and physical characteristic in Korean development environment.

공동주택 실적공사비 산정시 공종별 변동요인에 관한 연구 (A Study on the Change Factors by Activities for Estimating Historical Cost on Apartment Housing Projects)

  • 유용환;이규현;김종원;최인성
    • 한국건축시공학회지
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    • 제4권4호
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    • pp.117-126
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    • 2004
  • Construction industry is faced with the problems such as the quickly changeable circumstance and increasing construction companies due to regulation mollification of company registration. In order to overcome these problems, new estimation system based on historical estimation cost is ready to introduce by government step by step. But the time of transition for estimation system causes another problems such as chaos addition to simultaneity of a standard of estimation system and new estimation system, lack of related regulation, accumulation of historical extensive cost data, and adjustment methodology when historical estimation data is applied to next projects. The purpose of this study is to suggest the change factors by activities for estimating historical cost for apartment housing projects. New estimation system is based on historical construction data. For application of this system, the standard adjustment methodology system is necessary. and extensive cost data should be accumulated under an unified construction work classification system. Therefore in this study, according to the construction work classification system, every apartment housing project was classified to 16 work classifications, and 7 major composed items which occupy more than 85% of construction costs are analyzed by detailed activities and by average ratio and maximum ratio each of them. In the result of the study, furniture work, foundation work and masonry work are the works which have big gap of costs between average ration and maximum ratio. In addition to suggestion of change factor by work species, 5 qualified construction specialists are interviewed and change factors in 7 major works are analyzed.

한국 무기체계 개발 실적을 고려한 연구개발 비용추정관계식 개발 (Developing an R&D CER Using Historical Defense Weapon System Data in Korea)

  • 어원재;이용복;강성진
    • 산업경영시스템학회지
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    • 제33권3호
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    • pp.55-62
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    • 2010
  • Currently, cost estimation is very important to the government acquisition programs to support decisions about funding and to evaluate resource requirement as key decision points. Parametric cost estimating models have been used extensively to obtain appropriate cost estimates in early acquisition phase. However, they have many restrictions to ensure the cost estimating result in Korean defense environment because they are developed in the U.S.A. environment. In order to obtain a good R&D cost estimate, developing our own CERs (Cost Estimation Relationships) using historical R&D data is essential. Nevertheless, there has been little research to develop our own CERs. In this research, we established a CER development process and found some cost drivers in the historical movement weapon system R&D data. The R&D CER is developed using the PCR(Principle Component Regression) method to remove multicollinearity among data and to overcome the restriction of the insufficient number of sample. At least, this research is meaningful as a first attempt in terms of defining the CER development process and obtaining our own R&D CER based on the historical data in Korean weapon system R&D environment.

ACCURACY IMPROVEMENT OF AN APPROXIMATE COST ESTIMATING MODEL FOR RIVER FACILITY CONSTRUCTION

  • Siwook Lee;Sungkwon Woo;Jeongyoon Lee;Inwook Choi
    • 국제학술발표논문집
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    • The 3th International Conference on Construction Engineering and Project Management
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    • pp.1201-1208
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    • 2009
  • A making a decision of construction cost has important meaning and function for both contractor and owner in construction projects. Especially, it should be premised that estimating the construction cost in efficient and rational way in public construction, which is invested by government funds, for efficient execution of the budget and investment as a side of government. The systematic methodology for estimating construction cost approximately of a river facility construction project has not yet been established because of its unique characteristics including its relatively small project size in terms of cost. On this study, It collect and analyze a river facility construction historical cost data for develop an approximate cost estimating model for river applied by typical embankment section method and rate application of the others activity type. And it verify suitability of model through a that result of application of real river facility construction statement at developed model. By this study, it is expected to reasonable and systematic estimating construction cost through application of developed model.

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하천시설물 공사의 기획단계 개략공사비 산정체계 개발 (Development of an Approximate Cost Estimating Framework for River Facility Construction at Planning Stage)

  • 신정민;우성권;이시욱;김옥기
    • 대한토목학회논문집
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    • 제28권3D호
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    • pp.371-381
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    • 2008
  • 국내 하천시설물 건설공사는 도로 등의 다른 토목시설공사에 비해서 사업의 금액규모가 상대적으로 작다는 등의 특성으로 인해 사업의 기획 및 계획단계에서의 개략적인 공사비용을 예측하는 기준 단가가 정립되어 있지 않으며, 시설물의 특성을 고려한 합리적이고 체계적인 견적 방법론 또한 존재하지 않는다는 문제점을 가지고 있다. 본 연구는 하천시설물 건설공사의 실적자료를 수집하고 분석하여, 4단계로 이루어진 하천 제방공사 실적정보 구성 체계를 제시하고, 공사비에 영향을 끼치는 인자들을 주요 공종별로 도출하여, 하천시설물 공사의 기획단계에서 적정한 개략공사비를 산정하는 체계적인 방법론을 제시한다.

PROBABILISTIC MEASUREMENT OF RISK ASSOCIATED WITH INITIAL COST ESTIMATES

  • Seokyon Hwang
    • 국제학술발표논문집
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    • The 5th International Conference on Construction Engineering and Project Management
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    • pp.488-493
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    • 2013
  • Accurate initial cost estimates are essential to effective management of construction projects where many decisions are made in the course of project management by referencing the estimates. In practice, the initial estimates are frequently derived from historical actual cost data, for which standard distribution-based techniques are widely applied in the construction industry to account for risk associated with the estimates. This approach assumes the same probability distribution of estimate errors for any selected estimates. This assumption, however, is not always satisfied. In order to account for the probabilistic nature of estimate errors, an alternative method for measuring the risk associated with a selected initial estimate is developed by applying the Bayesian probability approach. An application example include demonstrates how the method is implemented. A hypothesis test is conducted to reveal the robustness of the Bayesian probability model. The method is envisioned to effectively complement cost estimating methods that are currently in use by providing benefits as follows: (1) it effectively accounts for the probabilistic nature of errors in estimates; (2) it is easy to implement by using historical estimates and actual costs that are readily available in most construction companies; and (3) it minimizes subjective judgment by using quantitative data only.

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PRICE 모델을 이용한 K1전차 수명주기 비용추정 (K-1 Tank Life Cycle Cost Estimate Using PRICE Model)

  • 강창호;강성진
    • 한국국방경영분석학회지
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    • 제25권2호
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    • pp.44-61
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    • 1999
  • Cost estimation has posed a significant challenge to estimators, planners, and managers in both government and military. Considerable historical evidence shows that accurate cost estimation has been difficult to achieve across a wide range of projects, including weapon systems. This paper introduces new cost estimating concept, CAIV(Cost As an Independent Variable) and a cost estimating case study using PRICE model, computer aided parametric estimating models(CAPE) for K1 tank cost estimate. CAIV concept is to set realistic but aggressive cost objectives easily in each acquisition program and to achieve cost, schedule, and performance objectives considering various managing risks with a project manager and industry teams. The Price model is one of computer aided cost estimating models and widely used in U.S. defense system analysis as a tool for CAIV. We analyze theories, inputs, outputs of the PRICE model and present a case study for K1 tank to estimate costs in requirement and concept phase, program and budgeting phase, and life cycle phase. Finally we obtain results that the Price model can be used in various phases of PPBEES depending upon available data and time.

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DATA MININING APPROACH TO PARAMETRIC COST ESTIMATE IN EARLY DESIGN STAGE AND ANALYTICAL CHARACTERIZATION ON OLAP (ON-LINE ANALYTICAL PROCESSING)

  • JaeHo Cho;HyunKyun Jung;JaeYoul Chun
    • 국제학술발표논문집
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    • The 4th International Conference on Construction Engineering and Project Management Organized by the University of New South Wales
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    • pp.176-181
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    • 2011
  • A role of cost modeler is that of facilitating design process by the systematic application of cost factors so as to maintain sensible and economic relationships between cost, quantity, utility and appearance. These relationships help to achieve the client's requirements within an agreed budget. The purpose of this study is to develop a parametric cost estimating model for the early design stage by using the multi-dimensional system of OLAP (On-line Analytical Processing) based on the case of quantity data related to architectural design features. The parametric cost estimating models have been adopted to support decision making in the early design stage. These models typically use a similar instance or a pattern of historical case. In order to effectively use this type of data model, it is required to set data classification and prediction methods. One of the methods is to find the similar class in line with attribute selection measure in the multi-dimensional data model. Therefore, this research is to analyze the relevance attribute influenced by architectural design features with the subject of case-based quantity data used for the parametric cost estimating model. The relevance attributes can be analyzed by Analytical Characterization. It helps determine what attributes to be included in the OLAP multi-dimension.

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실적공사비 산정시스템에 관한 연구 - 공동주택을 중심으로 - (A Study on the Construction Cost Estimating System based on Historical Data in Apartment Housing)

  • 전석한;최인성
    • 한국건축시공학회지
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    • 제5권1호
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    • pp.111-121
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    • 2005
  • This study purposed to derive a model to estimate appropriate construction costs for the application of the estimation system based on historical construction data. For this purpose, it analyzed data ($1999\sim2004$) on the construction costs of reinforced concrete apartments (Long-Lamina-type apartments), which have been highly standardized and have a lot of relevant objective data using statistical analysis techniques and developed an estimation model.