• KSCE Journal of Civil and Environmental Engineering Research
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• v.41 no.4
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• pp.429-439
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• 2021

In order to cope with the decrease of construction manpower caused by the aging population and to improve construction productivity, Japanese Ministry of Land, Infrastructure, Transport and Tourism has been promoting construction methodology using ICT (Information & Communication Technology) since 2016. The ministry has established and implemented new cost estimation standards, delivery systems, and government support policies to boost automated earthwork using ICT, and is expanding the types of automated construction methodology applied at the construction sites. To utilize ICT at construction sites in Korea, as in case of Japan, laws, systems, and policies should be readjusted first. By comparing the ICT-related systems and policies between Japan and Korea, this paper scrutinizes critical benchmarking factors. As a result, we have reached the conclusion that in order to promote ICT methodology at Korean construction sites, Korean government should establish ICT-related cost estimation standards, delivery systems, and economic support policies in advance.

• Korean Journal of Construction Engineering and Management
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• v.15 no.4
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• pp.68-76
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• 2014

The accurate estimation of construction cost is important to a successful development in construction projects. In previous studies, the construction cost are estimated by statistical methods. Among the statistical methods, support vector regression (SVR) has attracted a lot of attentions because of the generalization ability in the field of cost estimation. However, despite the simplicity of the parameter to be adjusted, it is not easy to find optimal parameters. Therefore, to build an effective SVR model, SVR's parameters must be set properly without additional data handling loads. So this study proposes a novel approach, known as genetic algorithm (GA), which searches SVR's optimal parameters, then adopt the parameters to the SVR model for estimating cost in the early stage of apartment housing projects. The aim of this study is to propose a GA-SVR model and examine the feasibility in cost estimation by comparing with multiple regression analysis (MRA). The experimental results demonstrate the estimating performance based on the percentage of estimations within 25% and find it can effectively do the accurate estimation without through the trial and error process.

• International conference on construction engineering and project management
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• 2011.02a
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• pp.182-186
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• 2011

Early cost estimates are important to decision-making for a construction project. Moreover, the possibility of reducing the project cost is getting less as the project is progressed. Case-based reasoning (CBR), which can be viewed as an effective method for early cost estimating, is widely utilized recently. Early cost estimates using CBR have advantages over the traditional ones as they produce reasonable outputs and self-studying is possible by simply adding new cases. Case-based reasoning is composed of a cycle of retrieve, reuse, revise, and retain process. However, in the majority of research cases, they are focused on how to retrieve the similar cases, instead of revising the cases which is expected to increase accuracy results of cost estimation. This research suggests a method of revising retrieved similar cases in a GA-CBR cost model which is widely studied and utilized for early cost estimating recently. To validate the proposed method, case study is conducted based on Korean public apartment projects.

• Journal of the Korea Institute of Building Construction
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• v.4 no.2
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• pp.129-136
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• 2004

High fluidity concrete(HFC) requires high dosage of superplasticizer to acquire sufficient fluidity, and high contents of fine powder and viscosity enhancing admixtures to resist segregation. The use of high amount of admixtures to make HFC at batcher plant in ready mixed concrete company is one of the reasons to raise the manufacturing cost of HFC. For this reason, new type of manufacturing method of HFC are described using both flowing concrete method and segregation reducing superplasticizer(SRS) in order to gain economical profit and offer the convenience for quality control.. As dosage of melamine based superplasticizer increases, it shows that fluidity and bleeding increase, while air contents and ratio of segregation resistance decrease. It also shows that addition of viscosity agent into superplasticizer reduce bleeding and improve segregation resistance of concrete. Dosage of AE agent into superplasticizer containing viscosity agent recovers loss of air contents during flowing procedure. Combination of proper contents of superplasticizer, viscosity agent and AE agent make possible to develope segregation reducing type superplasticizer. Compressive strength of high fluidity concrete applying flowing method with it is higher than that of base concrete. No differences of compressive strength between compacting methods are found. For the estimation of construction cost of high fluidity concreting using segregation reducing type superplasicizer, 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 cost, 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.

• Journal of the Korean Society of Safety
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• v.32 no.1
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• pp.115-120
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• 2017

The aim of this study is to develop construction safety and health management cost prediction model using support vector machine (SVM). To this end, theoretical concept of SVM is investigated to formulate the cost prediction model. Input and output variables have been selected by analyzing the balancing accounts for the completed construction project. In order to train and validate the proposed prediction model, 150 data sets have been gathered from field. Effects of SVM parameters on prediction accuracy are analyzed and from which the optimal parameter values have been determined. The prediction performance tests are conducted to confirm the applicability of the proposed model. Based on the results, it is concluded that the proposed SVM model can effectively be used to predict the construction safety and health management cost.

• Journal of The Korea Institute of Healthcare Architecture
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• v.27 no.2
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• pp.7-14
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• 2021

Purpose: The purpose of this study is to provide an effective construction project cost estimation tool for preparing a business plan of healthcare facilities which can be practically used for development projects. Methods: In order to provide a tool for calculating construction project costs, this study analyzed the Building and Related Laws, the Building Technology Promotion Laws, the Ministry of Land, Infrastructure and Transport notifications and directives, the Ministry of Trade, Industry and Energy notifications, the detailed guidelines of the Ministry of Strategy and Finance, the Building Service Industry Promotion Acts, various certification standards, actual project budget calculation cases, etc. with advices from related experts. Results: 1) Construction cost is classified into construction costs, architectural design costs, supervision costs, incidental costs, and each sub-element. In particular, since there are many incidental cost items, essential items to be reviewed during planning are derived and costs are calculated according to appropriate consideration criteria. 2) Criteria for Payment calculation mainly applies the construction cost rate method or the actual cost fixed amount method in consideration of the characteristics and scope of work. Implications: There are many calculation factors that need to be applied to the construction project cost. Therefore, it is necessary to organize the calculation process more clearly.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2008.11a
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• pp.445-448
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• 2008

This study attempts to estimate approximate cost on construction of PSC BEAM Bridge using Case-Based Reasoning and suggests approximate estimation model at the planning and design stage. This paper suggests phased influence factors on construction cost and approximate estimation model for integrated project cost management.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2007.11a
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• pp.585-588
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• 2007

This study attempts to analyze estimating process and the level of information performing literature review and questionnaire and identify phased influence factors on construction cost using phased information of project and suggests framework of approximate estimation model at the planning and design stage. This paper suggests phased influence factors on construction cost and framework of approximate estimation model for integrated project cost management.

• Proceedings of the Korean Society of Agricultural Engineers Conference
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• 1999.10c
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• pp.359-364
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• 1999

Providing the reasonable construction cost at the initial stage of the rural development project, is a kety factor of the each step of project , such as propriety analysis , cost planning , design, and planning the progress of work. The explainable construction cost can be estimated at the early stage using the actual cost data by statistical analysis. In this study, the influence factors are extracted by factor analysis with the actual cost data of rural development project, object cost model is developed by multiple regression analysis, and verify the developed cost model by Monte-Carlo simulation .

• Journal of the Korea Institute of Building Construction
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• v.9 no.6
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• pp.105-111
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• 2009

Construction equipment is a very important factor for successful construction. Also, the cost for construction equipment is a major part of the cost of construction. Therefore, the estimation of the equipment cost is a critical task in construction planning. A formula for production rates shown in 'Standard Unit Labor' has been used to estimate construction equipment capability and cost. Although the performance of the equipment has improved over time, the variables in the formula have not been updated in a timely manner. Therefore, this paper has analyzed the preceding research, and performed several site visits to measure the cycle time of a backhoe and a loader. Construction equipment production rates were calculated with collected cycle times and variables given in 'Standard Unit Labor'. In addition,production rates were estimated considering the circumstances of various sites with the simulation program 'crystal ball.'