• Korean Journal of Construction Engineering and Management
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• v.20 no.1
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• pp.22-31
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• 2019

The application of BIM that can manage and integrate information generated during the entire life cycle of buildings in domestic and overseas construction projects is becoming active. When BIM is utilized in the construction phase, it can shorten the construction period, reduce the occurrence of reworks and improve collaboration capability. However, there are limitations in applying BIM to the construction phase due to the insufficient definition level of domestic BIM guidelines and inadequate design standards. In this regard, this study developed BIM model requirements checklist for the application of BIM in the construction phase. To develop the checklists, 21 domestic and overseas BIM guidelines, three public construction projects and four private construction projects to which construction BIM was applied, were analyzed. Based on the guidelines and cases, a total of 62 construction BIM model requirements (31 model objects and 31 attribute rules) and proposed construction BIM model requirement checklists by dividing the 61 requirements according to the requirement and purpose for utilization were identified. It is expected that the practical applications of the checklists proposed in this study will improve the level of BIM model in construction phase. In addition, this study has its significance as a basic research that can be used in the development of standardized guidelines for BIM model in construction phase from academic aspects.

• Journal of the Korea Institute of Building Construction
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• v.18 no.1
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• pp.67-79
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• 2018

This paper provides theoretical deformation of lean concept and its application for usage of building information modeling (BIM) process. Recently, much research is focused on application of lean concept for more efficient usage of BIM. The lean theory and its basic function and feature is based on manufacturing industry. The manufacturing process can be improved by process re-engineering steps of lean concept which consist of the steps of value, value stream, flow, pull, perfection. However manufacturing process and construction process has different characteristics. Due to the differences, five steps of the traditional lean's process re-engineering can't be directly applied to the BIM based engineering process. In order to solve this problem, we conduct analysis on the characteristics of the manufacturing process and BIM based engineering. We propose modified and expanded concept of lean for process re-engineering and the modified theory was applied to the mechanical, electrical and plumbing (MEP) coordination process. Through the proposed 8 steps of methodology, 2D based process was changed to integrated and using BIM based MEP coordination process. In addition, the results showed the potentiality of cost reduction and process improvement. The results of this study can be a foundation for the theoretical combination of lean and a variety part of construction engineering process.

• Journal of the Korea Institute of Building Construction
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• v.17 no.6
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• pp.535-544
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• 2017

This paper analyzes the relations between design errors, prevented by building information modeling (BIM)-based design validation, and their impacts in order to identify critical consideration factors for implementing BIM-based design validation in architecture, engineering, and construction (AEC) projects. More than 800 design errors detected by BIM-based design validation in two BIM-based projects in South Korea are categorized according to their causes (illogical error, discrepancy, and missing item) and work types (structure, architecture, and mechanical, electrical, and plumbing (MEP)). The probabilistic relations among the independent variables, including the causes and work types of design errors, and the dependent variables, including the project delays, cost overruns, low quality, and rework generation that can be caused by these errors, are analyzed using logistic regression. The characteristics of each design error are analyzed by means of face-to-face interviews with practitioners. According to the results, the impacts of design error causes in predicting the probability values of project delays, cost overruns, low quality, and rework generation were statistically meaningful.