• Proceedings of the Computational Structural Engineering Institute Conference
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• 2010.04a
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• pp.218-221
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• 2010

발주자는 건설 프로젝트의 주요 의사결정을 초기단계에 내리게 되므로 정확한 예산을 예측하는 것이 중요하다. 그러나 건설 프로젝트의 대형화, 복잡화 그리고 건설산업계의 새로운 패러다임인 BIM(Building Information Modeling)의 등장에도 불구하고, 초기단계에서 정확한 공사비를 예측할 수 있는 표준화된 산출방법이 없어 아직까지도 대부분의 설계사무소에서는 실시설계단계에서 확정된 설계안에 따른 견적을 이용하며 초과된 비용에 대해 통합품질을 저해하는 행위를 통해 조정하고 있다. 초기단계에서 보다 정확한 공사비를 예측하므로써 발주자는 의사결정을 함에 있어 올바른 판단을 내릴 수 있으며, 이 단계에서 발생한 정보를 활용하여 이후 단계에도 유용하게 쓰일 수 있을 것이다. 본 연구에서는 발주자 의사결정 지원시스템 상에서 BIM기반으로 개략공사비를 산출할 수 있는 프로세스를 제안한다.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2007.11a
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• pp.607-612
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• 2007

Early cost estimation promote efficient budget plan by comparing alternatives and presenting cost information However it is hard to predict accurate cost because of vague cost standard and lack of available information in the early stage. The precious cost model has limitations in the accuracy because they are simple linear model which uses the unit cost per kilometer. This study presents the framework of early cost estimation for road construction projects to overcome the limitation of previous cost model. This study analyzed domestic and foreign cost model and cost data of previous road construction project to present method of cost model framework.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2008.11a
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• pp.207-211
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• 2008

The importance of cost management in early stage has been increasing due to market change and competition severence in construction industry. Because the adjustable budget is only 20% after finishing design stage, the critical decision is made in the early stage. However, in the early stage, the design information is not enough to make crucial decision. Therefore, this research suggests the predicting method on the purpose of accurate cost estimation. The parametric estimation is appropriate for the early stage, especially it has the strength of rapidity in cost estimation. This research analyzes 84 actual data of public apartment on the scale of $11{\sim}15$ stories, and then performs the correlation analysis between cost and influence factors. After eliminating the parameters which causes the problem of multicollinearity, this research derived the formula through the multi-regression analysis.

• Proceedings of the Korea Contents Association Conference
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• 2010.05a
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• pp.316-318
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• 2010

도로건설에 있어 계획단계에서 초기공사비의 정확한 예측을 위해 아직 연구가 미흡한 터널공사비 예측 모델을 시스템 다이내믹스를 이용하여 개발함으로써 합리적인 터널공사비 예측을 위한 토대를 마련하여 올바른 의사결정을 돕고 예산 낭비를 방지하기 위함을 목적으로 하였다.

• Korean Journal of Construction Engineering and Management
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• v.9 no.3
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• pp.65-74
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• 2008

Public institutions recognize the importance of cost management from the planning stage but they do not have an organized construction cost estimation and management system. Thus, at the stage of planning a new public construction project and estimating the cost, those in charge of budgeting estimate construction cost based on existing data and experiences, compare construction cost estimated after the basic design stage and the execution design stage with budgets, and then decide whether to continue the project or change the design according to the budgets. Therefore, we would develop the cost prediction model through regression analysis that can predict construction cost in Schematic Design Phase of the Public Multi-Family housing. Accordingly, if public institutions have a construction cost prediction model and management system that can estimate the optimum construction cost, they can make and execute budgets in a more efficient way than they do at present.

• Korean Journal of Construction Engineering and Management
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• v.24 no.5
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• pp.22-34
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• 2023

Predicting accurately the construction cost budget in the early stages of construction projects is crucial to support the client's decision-making and achieve the objectives of the construction project. This holds true for public construction projects as well. However, the current methods for predicting construction cost budgets in the early stages of public construction projects are not sophisticated enough in terms of accuracy and reliability, indicating a need for improvement. The objective of this study is to develop a construction cost budget prediction model that can be utilized in the early stages of public building projects using an artificial neural network (ANN). In this study, an artificial neural network model was developed using the SPSS Statistics program and the data provided by the Public Procurement Service. The level of construction cost budget prediction was analyzed, and the accuracy of the model was validated through additional testing. The validation results demonstrated that the developed artificial neural network model exhibited an error range for estimates that can be utilized in the early stages of projects, indicating the potential to predict construction cost budgets more accurately by incorporating various project conditions.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.2
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• pp.620-627
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• 2010

This study for construction of golf courses is to present basic information and pattern of change of construction cost by looking at the capacity of construction, requiring time and other aspects. The propose of this study is to develop the model of brief cost expected by using cost index and analyzing the actual work cost data gathered in golf course construction industry in Korea. The equation used for the cost-capacity index in other to deliver the expected construction cost is followed next. The results of this study, by regression analysis for the information of 7 golf courses, it could be found the cost-capacity index n, such as 0.72 for whole construction, 0.67 for net construction.

• Korean Journal of Construction Engineering and Management
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• v.9 no.3
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• pp.108-117
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• 2008

The appearance of the large distribution facility of large enterprise putting first reaches get to the various effect until change of leisure life and life pattern of the consumers from the distribution industry of the interior of a country. Competition of the distribution facility upgrade of the distribution facility and it shows the aspect which becomes the semi-department store, and construction cost is appearing different in proportion to each form or scale. Therefore, purpose of this study was to facilitate amicable construction progress between the owner and the builder through estimating the proper construction cost. This study investigated and analyzed the actual cost of 15 domestic distribution facilities and these datums were used to estimate the proper construction cost. This cost shows that from new project accomplishment through analysis of prediction construction cost for feasibility study from initial plan and design step and can be utilizable elementary data bH decision method to whether or not to propriety of distribution facilities business.

• Korean Journal of Construction Engineering and Management
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• v.14 no.6
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• pp.14-21
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• 2013

While a detailed cost estimation utilizes the comprehensive quantity information obtained from a complete drawing and specification, an approximate cost estimation heavily relies on the subjective decisions. This phenomenon is because the approximate estimation is usually conducted in early stage of the construction phase where the drawing and specification are not available. This study developed a roadway construction cost estimation system which enables users to estimate the approximated cost of the project in early stage. The system identifies the variation of the construction costs due to the road route change using a cased based reasoning(CBR) method. Overall the system is expected to improves the accuracy and effectiveness of the estimation process, because it would provide users with increased accessability and consistent results in early stage of the project which leaded to the increased work transparency.

• Korean Journal of Construction Engineering and Management
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• v.15 no.1
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• pp.3-10
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• 2014

High-rise buildings need thorough cost management because of large size and high risk. Cost management makes a budget by establishing and analyzing detail element at planning phase, needs cost control as each design phase, then reflected to next design. This research develops a schematic estimation model based on vertical and horizontal elements at design phase for structure cost of high-rise buildings to reduce error range and use data as design management. Usability of the model is confirmed by case study. The estimation model is expected to contribute to making the cost model more effective and satisfactory to concerned in construction or budget department and manage keeping track of the cost.