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Quantifying Combination Effects of Project Management Practices on Cost Performance
석성준,지석호,Stephen P. Mulva,Carlos H. Caldas,안성훈 대한토목학회 2017 KSCE JOURNAL OF CIVIL ENGINEERING Vol.21 No.3
This paper presents an analysis method that quantifies the relationship between project management practices and the cost performance of construction projects. The analysis method includes a series of analysis procedures and methods: data measurement and transformation, contingency table analysis, logistic regression, and a composite index. Step-by-step analysis procedures and methods are described along with the data obtained from 143 owner projects to examine the effect of nineteen project management practices on cost performance. The analysis method uncovers the minimum implementation levels of project management practices for better cost performance, and quantifies the combined effects of project management practices on cost performance varied by their implementation levels. The analysis results generate specific and quantitative information used in implementing project management practices for better cost performance. This information will help practitioners achieve improved cost performance in the most effective and efficient way. The analysis method designed with a series of statistical methods makes it possible to produce useful quantitative information for the implementation of project management practices.
안성훈,석성준,이민희,An, Sung-Hoon,Suk, Sung-Joon,Lee, Min-Hee 대한건축학회 2011 대한건축학회논문집 Vol.27 No.5
Cost budgeting is a fundamental component of cost management, establishing a baseline for building construction projects. However, previous studies suggest that the cost budgeting at most construction companies are not systematically conducted. The purpose of the present study is to reveal the key factors which influence cost budgeting and to weight these key factors related to building construction projects. A questionnaire survey for identifying the factors which influence cost budgeting was conducted with cost budgeting experts. The analytic hierarchy process was employed to weight the relative importance of the factors identified. The results showed that data is most important category and level of design documents is most important factor. However, gaps of importance between factors are small, so it is revealed that all of 35 factors are influencing the cost budgeting. Research for using these weights of key factors influencing the cost budgeting is needed to quantify the level of cost risk during cost budgeting process, which enables cost planners and management to use improving the reliability of cost budgeting for building construction projects.
초고층 주상복합 프리캐스트 콘크리트 구조물의경제성 분석에 관한 연구
김범기,강경인,석성준,이웅균,안성훈 한국건축시공학회 2005 한국건축시공학회지 Vol.5 No.1
The increase of high-rise residential-commercial buildings is required to cut down a term of works and the cost of construction. Reinforced concrete structures and steel framed reinforcement concrete that are commonly used have the difficulty in reducing them. Therefore, the purpose of this study is to propose a new precast concrete complex system and to analyze its economical feasibility. The economic analysis is performed through comparing the cost of a high-rise reinforced building that was already constructed with that of the new proposed precast concrete system, which is limited to structural frame work of typical floors. This study shows that the proposed precast concrete complex system is economical. Further research should be directed at including the influence of a term of works.
안성훈(An Sung-Hoon),석성준(Suk Sung-Joon),이민희(Lee Min-Hee) 대한건축학회 2011 大韓建築學會論文集 : 構造系 Vol.27 No.5
Cost budgeting is a fundamental component of cost management, establishing a baseline for building construction projects. However, previous studies suggest that the cost budgeting at most construction companies are not systematically conducted. The purpose of the present study is to reveal the key factors which influence cost budgeting and to weight these key factors related to building construction projects. A questionnaire survey for identifying the factors which influence cost budgeting was conducted with cost budgeting experts. The analytic hierarchy process was employed to weight the relative importance of the factors identified. The results showed that data is most important category and level of design documents is most important factor. However, gaps of importance between factors are small, so it is revealed that all of 35 factors are influencing the cost budgeting. Research for using these weights of key factors influencing the cost budgeting is needed to quantify the level of cost risk during cost budgeting process, which enables cost planners and management to use improving the reliability of cost budgeting for building construction projects.