• Proceedings of the Korean Institute of Building Construction Conference
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• 2012.05a
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• pp.333-336
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• 2012

In modern Construction Industry, as accumulation of capital and improvement of technology skills, buildings are becoming higher and more enormous, also the portion of steel works has been increasing. In addition, it is necessary to predict the optimum level of construction cost in a reasonable way. The composition of construction is direct construction cost, indirect construction cost and so on. However, it is not enough to study about indirect construction cost rather than direct construction cost. In this study, the state of productivity and indirect construction cost are analyzed in the steel production. As a result, the productivity and ratio of indirect cost in steel plant by inserted per 1ton are suggested.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.311-314
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• 2003

This study takes a statistical approach to quantify tile impact of wort stopped on the following day's site productivity. Therefore, this study is aimed to verify this null hypothesis: 'A work stopped in a construction field does not impact on the following day's productivity and productivity achievement ratio'. For the purpose, work, stopped is presumed as a dummy variable impacting site productivity in multiple linear regression analysis. Moreover, the quantified impact of work slopped on productivity achievement ratio is identified based on this study. This study shows that construction managers should persevere in their efforts to secure the work continuity in order to improve site productivity and productivity achievement ratio.

• 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 Construction Engineering and Management
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• 2004.11a
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• pp.353-357
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• 2004

The construction competition is more deepened with the enterprise possibility increase which it follows in the regulation relaxation back against the construction market penetration which carries and the instability of market is added an extra weight and it solves the aspect where also the profitability which is caused by with low price bidding decreases. Against a productivity with the overcome plan it is researched plentifully and the far for a productivity improvement, there is so far to construction, the productivity being used with only include meaning, is to a practical affairs and the application ver)r as the level which is feeble is a possibility of doing. It is like that and the research develops the producing district possibility of new steel-frame work and in the actuality which sees the production volume of steel-frame work and a construction accomplishment process effectively and to be right numerical figures it does it plans it controls and manages the place ultimate objective which it puts.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.839-846
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• 2022

Traditionally, the construction industry has shown low labor productivity and productivity growth. To improve labor productivity, it must first be accurately measured. The existing method uses work-sampling techniques through observation of workers' activities at certain time intervals on site. However, a disadvantage of this method is that the results may differ depending on the observer's judgment and may be inaccurate in the case of a large number of missed scenarios. Therefore, this study proposes a model to automate labor productivity measurement by monitoring workers' actions using a deep learning-based pose estimation method. The results are expected to contribute to productivity improvement on construction sites.

• 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.

• The Journal of Society for e-Business Studies
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• v.6 no.3
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• pp.163-180
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• 2001

New information technology contributes to raising of business productivity in many construction companies. The application of construction integrated management system is expected to save the time of decision-making in business management and shorten the closing account schedule. Construction Integrated Management System based on ERP(Enterprise Resource Planning) system allows to control core business procedure by monitoring technique on real-time. In this paper, we achieves 10％ raise up business productivity in site business area, and 30％ raise up business productivity in head of nce business area by means of DW-CIMS (Daewoo Construction Integrated Management System)

• Proceedings of the CALSEC Conference
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• 2001.08a
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• pp.127-140
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• 2001

New Information Technology Contributes to raising of Business Productivity in many Construction Companies. The Application of Construction Integrated Management System is Expected to Save the time of decision-making in Business Management and shorten the Closing Account Schedule. Construction Integrated Management System Based on ERP(Enterprise Resource Planning) System allows to Control core Business Procedure by Monitoring Technique on Real-time. In This Paper, We achieves 10% Raise up Business Productivity in Site Business Area, and 30% Raise up Business Productivity in Head Office Business Area by means of DW-CIMS (DAEWOO Construction Integrated Management System)

• Proceedings of the Korean Institute of Building Construction Conference
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• 2019.05a
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• pp.159-160
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• 2019

Reinforced concrete construction is one of the labor intensive construction projects and its productivity is very low. It is necessary to increase the productivity of rebar construction for improving the productivity of construction work. Therefore, in this study, the rebar drawings of apartment buildings are analyzed to prefabricate wall rebar unit shaped mesh in the factory and installing it on site. If the proposed wall rebar unit is applied to apartment construction working time of wall rebar can be reduced by 50% or more.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.1194-1201
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• 2022

The existing literature has witnessed the importance of productivity assessment and deducing factors affecting it. However, yet many models have shown limitations in practical applications in actual construction sites for process planning due to uncertainty and lack of data. This research presents a productivity assessment and database generation framework using simulation and compares the results with RSMeans to derive appropriate equipment combinations alternatives for earthwork operations. Data of 15 different conditions was collected from 5 different construction sites. Prediction accuracy above 90% were achieved for the simulation models with average error rate of 7.4%. The construction productivity assessment framework presented in this study is expected to be highly applicable to operation planning for earthwork operations.