• Title/Summary/Keyword: historical cost data

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Comparison between Labor Inputs by Quantity per Unit Method and by Actual Data Method in the Apartment Housing Construction Work - Focusing on Masonry Plaster Waterproofing Tile Labors - (공동주택 건설공사의 표준품셈과 실투입 노무량 비교 분석 - 미장, 방수, 조적, 타일공사를 중심으로 -)

  • Jeon, SangHoon;Koo, Kyo-Jin
    • Korean Journal of Construction Engineering and Management
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    • v.16 no.1
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    • pp.110-118
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    • 2015
  • The standard production unit system is the most basic element in our country construction. However, this standard production unit system shows a large difference in the actual amount of labor input for works at the Apartment housing construction, Therefore, it may be a reasonable alternative to estimate the cost of construction by historical cost data, works will be calculated the cost of labor must determine the exact amount and It is necessary to determine the exact amount of labor input for the construction progress management. This study examines the results of comparing the standard production unit system and the actual amount of labor counting in apartment housing construction was completed in the metropolitan area since 2000, the following results were obtained. the actual amount of labor input are looked for 1.184person/1000 of masonary, $0.084persons/m^2$ of plaster, $0.039persons/m^2$ of Waterproofing, $0.059persons/m^2$ of tile at the Apartment housing construction. in the actual amount of labor counting Compared with standard production unit system, masonry ratio of 59.8%, plaster ratio of 41.3%, waterproofing ratio of 31.5%, tile ratio of 34.3% and The labor rate in the works was the lowest in the plaster. was relatively high in the masonary. Therefore, the amount of labor country apartment housing construction is preferably calculated on historical cost data. But it seems that the amount of labor necessary complement ongoing close enough to the actual standard production unit system a major variable in construction management.

Factors Clustering Approach to Parametric Cost Estimates And OLAP Driver

  • JaeHo, Cho;BoSik, Son;JaeYoul, Chun
    • International conference on construction engineering and project management
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    • 2009.05a
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    • pp.707-716
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    • 2009
  • The role of cost modeller is to facilitate the design process by systematic application of cost factors so as to maintain a sensible and economic relationship between cost, quantity, utility and appearance which thus helps in achieving the client's requirements within an agreed budget. There are a number of research on cost estimates in the early design stage based on the improvement of accuracy or impact factors. It is common knowledge that cost estimates are undertaken progressively throughout the design stage and make use of the information that is available at each phase, through the related research up to now. In addition, Cost estimates in the early design stage shall analyze the information under the various kinds of precondition before reaching the more developed design because a design can be modified and changed in all process depending on clients' requirements. Parametric cost estimating models have been adopted to support decision making in a changeable environment, in the early design stage. These models are using a similar instance or a pattern of historical case to be constituted in project information, geographic design features, relevant data to quantity or cost, etc. OLAP technique analyzes a subject data by multi-dimensional points of view; it supports query, analysis, comparison of required information by diverse queries. OLAP's data structure matches well with multiview-analysis framework. Accordingly, this study implements multi-dimensional information system for case based quantity data related to design information that is utilizing OLAP's technology, and then analyzes impact factors of quantity by the design criteria or parameter of the same meaning. On the basis of given factors examined above, this study will generate the rules on quantity measure and produce resemblance class using clustering of data mining. These sorts of knowledge-base consist of a set of classified data as group patterns, of which will be appropriate stand on the parametric cost estimating method.

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A Conceptual Investment Cost Estimation Using by Cost Indices for the Train Control Facility of High-speed Rail Project (원가지수를 이용한 고속철도 설비의 개략적 투자비 추정기법)

  • Lee, Young-Joo;Lee, Yong-Eok;Jang, Seong-Yong
    • Journal of the Korean Society for Railway
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    • v.14 no.2
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    • pp.194-202
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    • 2011
  • Most of Orders of Magnitude estimate are based on historical data. This data is converted to the current price using by the cost index method mainly. This method, however, is rarely utilized or only for one-time use due to the lack of data and the complex escalation calculation method. This paper present a typical process on the conceptual investment cost estimation using by Cost Indexes based on the actual case for the Train Control facility of High-speed rail project. The result is expected to serve as both an easy way for Order of Magnitude estimate and a standard guideline for computerized modeling.

A Study on the Development of PMO Cost Estimation Model (PMO 대가 산정모형의 개발)

  • Seo, Yong Won;Lee, Duck Hee
    • Journal of Information Technology Services
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    • v.13 no.4
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    • pp.169-188
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    • 2014
  • Recently the complexity and difficulty of the IT projects are increasing due to technological and environmental risks, resulting in the adoption of PMO(Project Management Office) onto IT project management practices, including public area projects. For example, the Korean government regulated the application of PMO onto large scale public IT projects. However, since there has been no reliable method to estimate the cost to execute PMOs, a PMO cost evaluation model to support the budget and cost planning of PMO projects is required. Thus, the purpose of this research is to develop a systematic cost evaluation model for PMO projects. We identified the dimensions that determine the PMO execution cost to be the scale of the subject project, the technical difficulty level of the subject project, and the tasks to be executed in the PMO project. Based on the determinants, the PMO execution cost model were developed from historical data and experts opinion. Upon verification, the validity of the developed model has high level of consistency compared with their experiences of real PMO project costs.

Object & Parameter based Schematic Estimation Model for Predicting Cost of Building Interior finishings (오브젝트-파라미터기반 건축마감공사비 개산견적 모델)

  • Koo, Kyo-Jin;Park, Sung-Ho;Park, Sung-Chul;Song, Jong-Kwan
    • Korean Journal of Construction Engineering and Management
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    • v.9 no.6
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    • pp.175-184
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    • 2008
  • For deciding the profitability and feasibility of the construction project, the schematic estimation has to not only link the design decision-making but also estimate the cost with reliability. The prototype-based schematic estimation system was developed for easily linking with design-making and supports to evaluate the design alternatives in the design development stage but didn't consider the cost estimated by parameter and additional work items by users. This research presents the object-parameter based schematic estimation model in the design development stage that can lead to accurately estimate the cost by using historical data from the high-storied office buildings. For the development of the proposed model for schematic estimation, after analyzing and classifying the work items from the Bills of Quantities(BOQs) and drawings of historical data, this research proposed the methods of estimating cost in accordance with attributes of each work item. In addition, a case study is performed for the effectiveness as comparing the previous estimating method with the proposed model.

Development of a Calculating Model for Local Index Based on Historical Data of Public Apartment Buildings (공공아파트 실적데이터 기반의 지역지수 산정 모델 개발)

  • Lim, Dae-Hee;Lee, Seung-Hoon;Seo, Yong-Chil
    • Journal of the Korea Institute of Building Construction
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    • v.10 no.2
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    • pp.75-80
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    • 2010
  • With the intensifying of price competition and structural diversifications, the uncertainty of the domestic housing market has been increased. This highlights the importance of the planning stage of construction projects, and the increased need for a higher level of accuracy in approximate estimates. Currently, a number of research and development programs to calculate construction cost at the initial planning stage are being conducted. However, there are few cases in which local characteristics are considered in deriving the results. If local calibration can be conducted during estimates, more accurate cost estimates will be enabled. This could also play a major role in ensuring the success of a project. Therefore, the purpose of this research is to develop a calculation methodology and a model for a local index based on the historical data of public apartment buildings, and to derive a local index that supports accurate construction cost estimates.

Quantifying Risk Factors on Cost Performance By Characterizing Capital Facility Projects

  • Jang, Myung-Hoon;Cha, Hee-Sung
    • Korean Journal of Construction Engineering and Management
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    • v.7 no.4 s.32
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    • pp.177-183
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    • 2006
  • Risk-based estimation has been successfully introduced into the construction industry. By incorporating historical data associated with probability analysis, risk-based estimate is an effective decision support aid in considering whether to launch a particular project. The industry challenges, however, especially related with management issues, such as labor shortage, wage growth, and supply chain complexity, have often resulted in poor cost performance. The insufficient assessing the project characteristics (i.e., resource availability, project complexity, and project delivery method) can be the main reasons in the poor cost performance. Because the accuracy level of cost performance prediction can be enhanced by extensive evaluation of the subject project characteristics, a new approach for predicting cost performance in an earlier stage of a project can improve the Industry substantiality, in other words, value maximization. The purpose of this paper is to develop a new methodology in developing a risk-based estimate tool by incorporating extensive project characteristics. To do this, an extensive industry survey was conducted from both private and public sectors in building industry in Korea. In addition, significant project characteristics were identified in terms of cost performance indicator. Although the data collection is limited to Korean industry the suggested approach provides the industry with a straightforward methodology in risk management. As many researchers maintained that front-end planning efforts are crucial in achieving the successful outcome in building projects, the new method for risk-based estimation can Improve the cost performance as well as enhance the fulfillment in terms of business sustainability.

A Cost Estimation Development Methodology via CER's Linear Combination (CER 선형결합을 통한 비용추정 모델 개발)

  • Jung, Won-Il;Lee, Yong-Bok;Kim, Dong-Kyu;Kan, Sung-Jin
    • IE interfaces
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    • v.25 no.3
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    • pp.347-356
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    • 2012
  • The acquisition cost of defense weapon system has been continuously increasing because of art-of-technology of it. This phenomenon requires efficiency and transparency in the weapon system acquisition process through cost estimation. Therefore cost estimation is very important to the government acquisition programs to support decisions about funding and to evaluate resource requirement as a key decision point. The Commercial parametric cost estimating models have been using extensively to obtain appropriate cost estimates in early acquisition phase. These models have many restrictions to ensure the cost estimating result in Korean defense environment because they are developed based on foreign R&D data. Also estimation results are different from Korean defense industry accounting system. So, some studies have been tried to develop a CER (Cost Estimation Relationship) based on the Korean historical data. However, there are some restrictions to improve the predictability and ensure the stability of the developed singular CERs which consider the following data characteristics individually. The the abnormal conditions of data that is multicollinearity, outlier and heteroscedasticity under rack of the number of observations. In this paper, a CER's Linear Combining Model is proposed to overcome those limitations which guarantee more accurate estimation (25.42% higher precision) than other singular CERs. At least, this study is meaningful as a first attempt to improve the predictability of CER with insufficient data. The methodology suggested in this study will be useful to develop a complex Korean version cost estimating model development in future.

Cost Estimating Method of Public Building Construction through Construction Scale (공사규모에 따른 공공건축물 공사비의 산정방법)

  • Yim, Jin-Ho;Park, Jun-Mo;Kim, Ok-Kyue
    • Journal of the Korea Institute of Building Construction
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    • v.15 no.3
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    • pp.307-316
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    • 2015
  • As there are a lot of differences in the public building construction cost depending on the construction scale of actual construction cost system, a lot of problems occur in the estimation of the cost. So, the development of a predictive model depending on the construction scale shall be used in a way that it is applied to the case selectively and differently. This study drew a cost estimating model through a regression analysis. For this, 42 construction sites which were ordered during 2011 to 2012 by Public Procurement Service data were selected as a historical data. Based on the application of the model to new construction and the verification of its effect, the reasonable model for estimating the construction cost has been suggested.

An Environmental Management Cost Estimating Method Improvement for New Multi-Housing Projects (공동주택 신축공사 환경관리비 산출방법 개선)

  • Lee, Jae-Ho;Park, Chan-Sik
    • Korean Journal of Construction Engineering and Management
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    • v.7 no.3 s.31
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    • pp.149-158
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    • 2006
  • For construction projects, it is required to estimate the Environmental Management Cost(EMC) for pollution prevention, using the calculation standards prescribed in the Construction Technology Management Law(CTML). However, the EMC standards are difficult to utilize without definite site information. Therefore, it is needed a new calculation method reflecting project site information. According to the definition of EMC in the CTML, this study identifies the EMC items and classifies them into the pollution types such as air, water, noise, waste and others. With this EMC classification, the stud:』 analyzes using the SPSS the EMC for the 78 new multi-housing projects, which were executed during the past three years, 2000-2002. And then an EMC estimating matrix is developed with simple information such as site location and size of area from historical data. The proposed matrix can be effectively used to check and control budgeting and estimating the EMC of the multi-housing projects. In addition, the proposed EMC matrix are validated through a case study.