• Proceedings of the Korean Institute of Building Construction Conference
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• 2012.11a
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• pp.153-154
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• 2012

The accuracy of cost estimation at an early stage in school building project is one of the critical factors for successful completion. So many method and techniques have developed that can estimate construction cost using limited information available in the early stage. Among the techniques, Support Vector Machine(SVM) has received attention in various field due to its excellent capacity for self-learning and generalization performance. Therefore, the purpose of this study is to verify the applicability of cost prediction model based on SVM in school building project at the early stage. Data used in this study are 139 school building cost constructed from 2004 to 2007 in Gyeonggi-Do. And prediction error rate of 7.48% in support vector machine is obtained. So the results showed applicability of using SVM model for predicting construction cost of school building projects.

• The Journal of Sustainable Design and Educational Environment Research
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• v.11 no.3
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• pp.46-54
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• 2012

The accuracy of cost estimation at an early stage in school building project is one of the critical factors for successful completion. So various of techniques are developed to predict the construction cost accurately and expeditely. Among the techniques, Support Vector Machine(SVM) has an excellent ability for generalization performance. Therefore, the purpose of this study is to construct the prediction model for construction cost of educational building project using support vector machine technique. And to verify the accuracy of prediction model for construction cost. The performance data used in this study are 217 school building project cost which have been completed from 2004 to 2007 in Gyeonggi-Do, Korea. The result shows that average error rate was 7.48% for SVM prediction model. So using SVM model on predicting construction cost of educational building project will be a considerably effective way at the early project stage.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2010.05a
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• pp.143-147
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• 2010

Due to the diversification and complication of construction projects, controlling risks from the early design-planning phase gives huge impact on success of the construction project. As a part of managing uncertainties it is also important to estimate the project cost several times. Especially, estimating project cost in the early stage gives effects on making a budget for projects. This study estimated the apartment project cost using case-based reasoning(CBR), which is the process of solving new problems based on the past problems. For this, we deduced the apartment cost influence factors which can be gathered in the early stage of project. Based on the factors we established the database for apartment project and calculated the attribute value, attribute similarity and case similarity. Although we retrieve the most similar case from the database, it is very hard to utilize it directly due to the uniqueness of each project. So, Genetic Algorithm(GA) was applied in revising the cost of the retrieved-case. Therefore, the accuracy of the prediction was improved by GA optimization.

• International conference on construction engineering and project management
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• 2007.03a
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• pp.635-641
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• 2007

The construction starts its business by receiving the order from client and owner. The client presents requirements and related information so that the desired result can come out while the designer and the builder express and implement the building according to set objectives and goals of project based on information on project environment and presented requirements. Because the construction project makes decisions on such objectives at its early stage and previous stage becomes the situation for decision making of next stage as the computation to implement decisions get performed. Accordingly, this study has mentioned necessity of requirement analysis and systematization of construction project, analyzed the work of construction's early stage and resented a plan for objective of construction project requirement definition model in which requirements engineering has been applied and using it while making decisions on designing.

• Korean Journal of Construction Engineering and Management
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• v.18 no.3
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• pp.84-94
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• 2017

Recently, domestic construction companies have increasingly engaged in international PPP projects a result of both uncertainties in the domestic construction market and low competitiveness in international EPC project business. These international PPP projects usually require long-term preparations and substantial sales costs, which make it important for decision-makers to select winning-award potential project in early stage of the projects. However, most previous research has analyzed success factors in terms of project development across all stages. Thus, this study investigated 28 success factors of 4 categories in the early stage of 31 international PPP projects. First, results indicate that unsolicited PPP projects require better implementation capabilities and financial conditions compared to solicited PPP projects. Second, implementation capability is important because it is not easy to improve as the project proceeds. Third, commercial conditions are identified as important even if conditions are not fixed in the early stage of PPP projects. Fourth, non-commercial conditions, strategy, and public interest are not found to be meaningful in the early stage of PPP projects because they can vary as the project proceeds. This study helps to improve selection criteria aimed towards more winning-award potential project in the early stage of international PPP projects.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.883-889
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• 2009

The importance of cost estimate in early stage such has been increasing due to market change and severe competition in construction industry. Because the adjustable budget is only 20% after design stage, most of the crucial decisions to influence cost is made in the early stage. However, in the early stage, the project scope is not defined completely so that estimator has inaccurate information to make critical decision. Therefore, this research suggests the cost estimate method using case-based reasoning. Case-based reasoning is appropriate for the early cost estimating, as it has the strength of rapidity and convenience in cost estimation. This research analyzes 84 actual data of public apartment on the scale of 11~15 stories. In order to extract the most similar case, at the first step this research identifies influence factors and calculates attribute similarity. In case-based reasoning, the most challenging task is determining attribute weight. At the third step, this research calculates case similarity which is aggregated attribute similarity multipled by attribute weight. Finally, extracts the most similar case which has the highest score of case similarity.

• International conference on construction engineering and project management
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• 2011.02a
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• pp.324-329
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• 2011

Significant decisions are made by the project team during the early planning phase of capital facility project developments. The preproject planning phase begins after a decision is made to proceed with a project concept and continues until the detail design stage. Many of the industry practitioners and researchers have recognized the importance of preproject planning and that inadequate early planning is one of the key factors affecting project success. Nevertheless, the preproject planning practices vary significantly for the construction industry in Taiwan and the quality of preproject planning relies heavily on individual project team's experience. This research sets out to benchmark the preproject planning practice for the building construction industry in Taiwan. From late 2007 to early 2010, the researchers collected information from a total of 92 building construction projects using questionnaire survey. The analysis results show that the surveyed projects with better preproject planning have better cost and schedule performances on average. It is recommended that project team spend more efforts in the preproject planning stage to have a better chance of achieving project success.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.730-731
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• 2015

This study aims at giving the framework to estimate the environmental load at planning and schematic phase. With increasing awareness of environmental issues, the effort to reduce the environmental impacts caused by human activity has been increasingly enlarged. So far most of researches estimating CO₂ emissions have analyzed energy consumption based on BOQ (Bills of Quantity) acquired after detailed design. There is also lack of reliability in the estimated environmental impact using the basic unit of a facility at the planning stage, because it uses a limited specific section of historical data. Thus, this study is targeted at developing framework to assess reliable environmental loads based on information available at project early phases by making case-bases from historical design information on PSC Beam Bridge. Historical database is built on the basis of the LCA (Life Cycle Assessment) and in order to set input information for estimating model, the literature about information in an early project phase are reviewed. Using the information available in the planning and schematic design stage, the Framework is presented to estimate the environmental load in an early stage in the project. Developing an environmental load estimation model in accordance with the Framework presented in this study, it is expected that the environmental load in the initial project phase can be estimated more quickly and accurately.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2008.11a
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• pp.597-600
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• 2008

Recently, Several Mega project are been performing as a multi-dimensional development project in Korea, but some problem has been revealed about deficiency of the history, experience, and skill. A multi-dimensional development project require the technology which can manage mega project to its specific at the level of program management. predicting schedule and schedule management are the most important for mega project, been performing over several years. This research shows the method of predicting and planning schedule in the early stage as a pre-study on developing a technology of schedule management. First of all, it presents the development of database considering the specific of mega project that can accumulate the history of schedule and search the schedule according to the type of single and multi building. Also it suggests the method of prediction schedule by creating scenarios according to owner requirements and cash flow, affecting schedule management in the early stage, and the shortening possibility of schedule duration using CCPM theory.

• Journal of Engineering Education Research
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• v.19 no.1
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• pp.37-46
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• 2016

The purposes of the study were to examine engineering students' concerns and problems while they were choosing a project topic in interdisciplinary collaboration and to suggest ways to support them in an early stage of collaboration phase. To answer the research questions, we conducted a case study with engineering participants in GCTI 2015, an interdisciplinary collaborative and creative group project. Multiple data sources including focus group interviews, online survey and researchers' observation notes were used to triangulate research findings. We found four main concerns of engineering students. These concerns include (1) lack of self-efficacy, (2) limited resources, (3) lack of shared, meaningful, and common goals, and (4) lack of content knowledge. Based on these concerns we proposed four supports in an early stage of the collaborative project. These supports includes (1) implementing an orientation program, (2) providing opportunities for social interactions, (3) providing expert feedback, and (4) providing consultation for team building.