• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2007.11a
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• pp.306-311
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• 2007

Proper management of construction productivity is one of the main drivers of project success. This research focuses on the development of a construction productivity analysis system based on Web and OLAP in order to effectively manage construction productivity. Throughout the research effort, a construction productivity analysis system was modeled using IDEFO & ERD techniques and was deployed on the WWW(World Wide Web). Based on the system modeling, this research studies the methodology for system development of construction productivity that can consult the decision of managers on job site.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2018.05a
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• pp.310-311
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• 2018

This study compared the labor productivity of the construction industry to the manufacturing and service industries. In addition, It analyzed the construction labor productivity gap of the G7 countries based on data from the Korean Productivity Center. A comparative analysis of construction labor productivity between manufacturing and service industries, based on statistics from the National Statistical Office, revealed a relatively low level and trend of continued decline. In addition, a comparative analysis of the productivity of construction workers in the major G7 countries found that the difference in productivity is very large, with an average of 65.3 %. Therefore, domestic construction companies and the government should prepare Improvement measures to improve productivity by investing in technology development to increase labor productivity and improving the production system of the construction industry.

• Korean Journal of Construction Engineering and Management
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• v.9 no.6
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• pp.156-163
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• 2008

Recently, Construction market is contracted by economic slump and regulation. As the solution of this plan, construction productivity is gathering strength. However, the study on the productivity in construction section is insufficient until now. Construction section has many factor about productivity. The point of this study, we analysis the factor of construction productivity improvement and relationship with system thinking. And we show the strategy of construction productivity improvement.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2019.05a
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• pp.47-48
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• 2019

Currently, the government has made a lot of efforts to improve construction productivity but there are few studies which measure between safety perception level and productivity in the South Korean construction industry. Therefore, the objective of this study is to analyze correlation between safety perception level of domestic construction companies and construction productivity. To achieve the objective, first, the concept of safety perception level was defined. Second, the safety perception level and construction productivity were investigated in the case projects. Third, correlation analysis was conducted between safety perception level and productivity. As a result, it was concluded that a high level of safety perception of executive and manager would increase construction productivity. In addition, To improve the safety perception level in the construction company, it is suggested that the provision safety resources for managements and the equal communication system between workers and managements and the development safety education tools considering the worker's experience. In the future, these findings can be utilized to develop future evaluation tools for a safety perception level in domestic construction company.

• Journal of the Korea Institute of Building Construction
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• v.15 no.3
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• pp.339-349
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• 2015

A large-scale research project to develop a robot-based automated building construction system for steel structures was successfully conducted in South Korea. This paper discusses the results of the real-scale test and the key lessons gained from the testing process. The system was assessed in terms of system productivity, construction cost, quality control, and safety improvements. While the productivity of the automated system showed an improvement of about 9.5%, the construction cost was about six times higher than that of the conventional method. The field test also indicated that the automated system requires more on-site quality control measures. However, because the system can eliminate the causes of various safety accidents, safety levels might be expected to be improved significantly. It is expected that this paper will provide knowledge and insight for developing new systems, and the results of the real-scale test might be useful for other researchers and similar research projects in the future.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2008.05a
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• pp.111-115
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• 2008

The productivity is the one of the primary elements to evaluate the new systems performance for building construction along with the economic efficiency, the safety, and the quality improvement. At present the on-site construction automation systems(we will call it as Construction Factory or CF hereafter) is under the development by research group for construction automation of high-rise building. The system includes many sub-systems such as a robotic crane, a construction factory, bolting robots, a building material management system using RFID and so on. In this study we discuss and propose the method to evaluate for these hybrid on-site automation system fundamentally. In future we devise a framework of evaluation modules for the on-site building automation system on the basis of this discuss.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2020.11a
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• pp.177-178
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• 2020

In the construction industry, expectations for the Precast Concrete(PC) construction method are rising due to demands for high quality and productivity and social and environmental issues. However, although technical problems that occurred in the early stages of technology introduction have been solved, research related to proper construction management for PC construction methods has been relatively neglected and the advantages of PC construction methods have not been fully utilized. In this study, each group involved in PC works was surveyed to identify important management tasks affecting productivity of PC works to improve PC contruction management system. Based on factor analysis, 22 tasks were calssified into 5 management groups. The results of this study will be used to present a framework for the application of automation and information technology to improve the productivity of PC works.

• Journal of the Korea Institute of Building Construction
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• v.12 no.6
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• pp.636-647
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• 2012

Construction projects have become so large, complicated and incredibly high-tech that process management is currently considered one of the most important issues. Unlike typical manufacturing industries, most major construction activities are performed in the open air and thus are exposed to various environmental factors. Many studies have been conducted with the goal of establishing efficient techniques and tools for overcoming these limitations. Productivity analysis and prediction, one of the related research subjects, must be considered when evaluating approaches to reducing construction duration and costs. The aim of this research is to present a quantified impact analysis of construction delay factors on construction productivity of a steel staircase system, which has been widely applied to high rise building construction. It is also expected to improve the process by managing the factors, ultimately achieving an improvement in construction productivity. To achieve the research objectives, this paper analyzed different delay factors affecting construction duration by means of multiple regression analysis focusing on steel staircase systems, which have critical effects on the preceding and subsequent processes in structure construction. Statistical analysis on the multiple linear regression model indicated that the environment, labor and material delay factors were statistically significant, with 0.293, 0.491, and 0.203 as the respective quantified impacts on productivity.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2012.05a
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• pp.325-326
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• 2012

Because steel frame has own characteristics as easy to work and structural safety, it is being increased application by the trend of construction industry has been more higher and larger in today. However, steel frame works have potential problem, so fundamental solution is needed for preventing serious accidents. Recently, self-supported steel joint for enhancing safety is developed in Korea, but this system has some limitations as convenience of work, retainment of consistent productivity. For complementing this limitations, we developed the new system named Automated wire control machine. This study is performed productivity of steel frame work by new system. The basis data for analysing productivity is collected from field test.

• Korean Journal of Construction Engineering and Management
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• v.7 no.2 s.30
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• pp.127-137
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• 2006

Productivity is important to evaluate an efficiency of performed work and organization in construction industry. The productivity should be defined as activity level rather than macro level in order to effectively use productivity data and manage a project. The primary objective of this study is to develop a construction productivity management system using data warehouse, OLAP and data mining technologies which enables to easily accumulate the construction productivity data and perform multi layer analysis. Finally, it is anticipated that the effective use of the developed system would be able to measure the result of project and make a plan of the similar project with reliability.