• Korean Journal of Construction Engineering and Management
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• v.5 no.1 s.17
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• pp.114-123
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• 2004

Contract time determination for highway construction projects has never been easy despite considerable research efforts from academia as well as industry. High variations in crew production rates are considered one of the main barriers to accurate contract time determination. This paper presents a methodology for collecting field information on crew production rates which will help to enhance the accuracy of contract time determination for highway bridge construction. Based on a standard data collection tool developed, data on field crew production rates was collected from 14 on going projects in Texas, USA, over the past two years. The production rates based on the data collected were considered by industry practitioners to be more realistic and practical than those available to the current practices. As more data becomes available, key drivers influencing production rates could be identified and provide site personnel with a means to better plan and control production in a project specific context.

• Journal of Construction Engineering and Project Management
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• v.6 no.2
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• pp.24-29
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• 2016

This paper elaborates the significance of scenario planning in risk management, and presents an integrated approach which takes into account the 'Risk Events' derived from scenario planning for risk prioritisation. This research integrates scenario planning with Risk Failure Mode and Effect Analysis (RFMEA) through examples from construction litigations of project schedule and cost overrun cases as a simplified approach to project risk management. The proposed methodology incorporates scenarios developed from realistic events of dispute and arbitration cases from construction projects, and thereby increasing potential to foresee risks and their effects well in advance. The results from this methodology shall be validated against outcome of survey study conducted by KPMG-PMI (2013) on project schedule and cost overruns that was based on Ministry of Statistics and Programme Implementation (MoSPI) Project Monitoring data for 2012-13.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2019.11a
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• pp.50-51
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• 2019

Globally, South Korea is a country that has a lot of $CO_2$ emissions and has steadily increased its total greenhouse gas emissions since the 1990s. With the recent implementation of the carbon emission trading system in Korea, the importance of calculating $CO_2$ emissions of construction equipment is increasing, hence the need for accurate calculation of environmental penalties through allocating carbon emission rights. This study presents a methodology to predict the price of carbon credits using big data analysis method. This methodology is based on correlating and regression analysis of trends in carbon emission prices and search volumes. This study aims to support faster and more accurate budget calculations in the planning of the construction process based on the predicted price of carbon emission rights.

• Educational Technology International
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• v.10 no.2
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• pp.145-166
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• 2009

The purpose of this study was to investigate why advance organizers (AO) are effective in promoting comprehension and mental model formation in terms of cognitive load. Two experimental groups: a concept-map AO group and a key-word AO group and one control group were used. This study considered cognitive load in view of Baddeley's working memory model: central executive (CE), phonological loop (PL), and visuo-spatial sketch pad (VSSP). The present experiment directly examined cognitive load using dual task methodology. The results were as follows: central executive (CE) suppression task achievement for the concept map AO group was higher than the key word AO group and control group. Comprehension and mental model construction for the concept map AO group were higher than the other groups. These results indicated that the superiority of concept map AO owing to CE load decrement occurred with comprehension and mental model construction in learning. Thus, the available resources produced by CE load reduction may have been invested for comprehension and mental model construction of learning contents.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.1068-1074
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• 2009

The progress is widely used as a critical index for successful construction project management. In spite of the importance of progress measurement, the excessive management effort to collect and maintain detailed data has been highlighted as a major barrier to measurement of highly accurate progress. In order to reduce the required workload and to enhance accuracy, several researches have been conducted. These researches can be categorized into two groups. First group focuses on automated data collection utilizing advanced technologies only for limited construction tasks. The second group is a research area where the standard progress measurement methodologies encompassing entire construction tasks are investigated. Topics include the adjusting the level of details, standardizing work processes, and applying flexible WBS. However, the techniques for automated data collection are not fully investigated yet in the second group. Combining these two research areas can provide a solution for more effective progress management in terms of enhancing accuracy and optimizing workload. However, there has been no comprehensive research addressing these two research groups in an integrated manner. In this context, the purpose of this paper is to propose a methodology that identifies the most suitable measurement method and data acquisition technology (e.g., GPS, RFID, etc.) for entire construction tasks of a project. The proposed methodology in this paper will be able to facilitate the selection process of data acquisition technologies for entire construction tasks of a project and to support the overall enhancement of automated progress management.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.3D
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• pp.371-381
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• 2008

The systematic methodology for estimating construction cost approximately at planning and pre-design phase of a river facility construction project has not yet been established because of its unique characteristics including its relatively small project size in terms of cost. This research suggests a 4-level cost information structure and identifies critical factors affecting construction cost as a result of thorough analysis of accumulated historical cost data of river facility construction projects. Also, this research presents the framework of the approximate cost estimating methodology for river facility construction project a planning stage.

• Journal of the Korea Institute of Building Construction
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• v.18 no.2
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• pp.169-176
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• 2018

The purpose of this study is to analyze the effects of applying BIM to the construction phase on preventing rework. Previous studies have presented the contribution of BIM in various ways, but a more practical and reliable analysis methodology are required. In this study, a BIM effect analysis methodology was proposed after collecting requirements on BIM effect analysis from field professionals. In the case study, the rework prevention effect was analyzed based on the proposed methodology. As a result, it was found that BIM application produced the rework prevention effect of approximately KRW 370,519,593. In addition, a consultation with field professionals on the suitability of the proposed methodology and effect analysis results were revealed that the results were sufficiently reliable. The results of this study can be used as efficient basic materials for research on BIM performance measurement in the future.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2008.11a
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• pp.463-466
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• 2008

Owing to the characteristics of the construction industry, large number of risk factors exist in construction projects compared to other industries. In the year 2007, due to industrial disaster, there was a loss of about 70 million number of working days and about 3 trillion won of the economic direct loss Economic loss is estimated up to 16trillion won including the indirect loss. Hence, a countermeasure is required to reduce the loss. However, the existing safety management is inefficient because it is based on experiential safety knowledge in the form of safety index, regulations. The purpose of this research is to improve this problem by proposing a quantitative risk assessment methodology. First, the limitation of existing hazard index is analyzed and subsequently variables for assessing degree of risk is established. Finally, these variables are then combined and a quantitative risk assessment methodology is proposed.

• Journal of KIISE:Software and Applications
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• v.27 no.5
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• pp.488-498
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• 2000

Object-oriented methodologies are widely used in the development of huge and complex systems since these methodologies produce the comprehensible and extensible model of systems. In order to apply an object-oriented methodology to a software development, developers should derive a method customized to a specific project from the methodology and, then, construct a development process from the method. Unfortunately, existing object-oriented methodologies lack a systematic facility for the construction of a method and a process. In this paper, we present a customizable object-oriented methodology to support the systematic derivation of a project specific method from the generic methodology. To derive a project specific method from the methodology, we transform the problem of a derivation to a planning problem and apply planning techniques. Our planning technique uses the description of an architecture that captures the structure and characteristics of a software under development as input and constructs an appropriate method with respect to the architecture. The architecture-centered construction facilitates the effective handling for the characteristics of the software since an architecture capture the decisions that must be maintained consistently during the development.

• Korean Journal of Construction Engineering and Management
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• v.9 no.5
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• pp.194-203
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• 2008

Construction Research and Development (R & D) projects have been begun with the investment of 1.2 billions in 1994 and have been reached to 30 billions in 2004. During this ten-year period, a total of investment for construction R&D amounts to 125.7 billions (Total 418 construction R&D projects). However, the results of each R&D project could not apply to real construction site because each project has been performed by a small size (0.5 billions). In addition to those, the social interest on the construction R&D projects has not been received and those importance has not been recognized. Especially, there aren't still standardized methodologies or weighted measurement data for evaluating research performance of the construction R&D projects up to now. The construction R&D projects has been Invested on the basis of an annual technology demand survey rather than the research performance outcome. Therefore, it is important to establish a qualitative performance measurement model for evaluating construction R&D projects. This paper proposes a new research methodology for analyzing the performance measurement of the construction R&D projects. First of all, the Balanced Score Card (BSC) is used to evaluate the construction STAR technologies selected in this research. The performance items of BSC has been modified as four criteria such as "productivity, "knowledge accumulation," "training of students," and "welfare." The new research methodology developed in this paper is expected to use in establishing resonable construction R&D budget in the future.