• Title/Summary/Keyword: Construction Productivity

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Analysis on the Factors Influencing Construction Productivity for Management of Construction Productivity Information (건설 생산성 정보 관리를 위한 생산성 영향요인 분석)

  • Moon, Woo-Kyoung;Han, Sung-Hun;Kim, Yea-Sang;Kim, Young-Suk;Kim, Sang-Bum
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • 2006.11a
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    • pp.422-426
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    • 2006
  • Productivity is one of the very important index that measures efficiency of production activities in industry, enterprises and the building industry as well. None the less, the concept of construction productivity is not so clear that productivity management in the building industry have been performed by experience or intuition, productivity related data have not been analyzed through effective productivity management, because structured definition and classification of factors influencing construction productivity did not exist so that it has not been known what information explain each of them. In order to solve this problem, at first construction productivity and factors influencing construction productivity are defined and classified into three groups; (1)Project factors influencing construction productivity (2)Management factors influencing construction productivity (3)Activity factors influencing construction productivity. To find out relation between construction productivity and factors influencing construction productivity, a questionnaire survey for construction managers in the building industry has been conducted.

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A Sutdy on the development method of Construction Productivity analysis system based on Web & OLAP (웹(Web) 및 OLAP 기반의 건설 생산성 분석 시스템 개발방안 연구)

  • Lee, Jeong-Dae;Kim, Sang-Bum;Kim, Yae-Sang;Kim, Young-Seok
    • 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.

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A Basic Study on the Correlation Analysis between Safety Perception Level of Domestic Construction Companies and Construction Productivity (국내 건설기업의 안전인식수준과 건설생산성간의 상관관계 분석 기초연구)

  • Jeon, Sang-Sub;Oh, Jun-Seok;Son, Seung-Hyun;Son, Ki-Young
    • 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.

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Collection and Utilization of the Construction Productivity Data and the Influence Factors Using Information Technology (IT 기술 기반의 건설 생산성 정보 및 영향요인의 수집 및 활용)

  • Lee, Hyun-Jung;Oh, Se-Wook;Kim, Young-Suk;Kim, Yae-Sang;Kim, Sang-Bun
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • 2006.11a
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    • pp.548-553
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    • 2006
  • Activity-based productivity data can be used as an significant reference in many areas of project management such as performance evaluation and project planning. However, the existence of various factors influencing construction productivity makes it difficult to collect and analyze the productivity data. In the most of the domestic construction sites, there is no systematic method to collect and analyze the productivity data along with information on influencing factors; it is common to heavily rely on experience and intuition of field managers when dealing with construction productivity data. Therefore it is necessary to develop a management system for collecting and utilizing the productivity data as well as the factors influencing construction productivity. The main objective of this research is to define the construction productivity and its influencing factors at the activity level. In addition, methodologies on how to analyze the productivity data and to estimate productivity of future projects are proposed.

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The Development of a Construction Productivity Prediction Model Based on Data Mining (데이터 마이닝 기반의 건설 생산성 예측 모델 개발)

  • Woo, Gi-Beom;Ahn, Jy-Sung;Oh, Se-Wook;Kim, Young-Suk
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • 2007.11a
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    • pp.813-818
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    • 2007
  • Construction productivity is a key factor for efficiency evaluation of construction work process, project performance measurement, and basic data of work plan in construction industry. However, although construction productivity is important in construction industry, gathering methodology and analyzing methodology of productivity data are not well-organized therefore productivity data is not utilized in the construction industry The purpose of this study is to develop productivity prediction system using data mining technology based on activities and to suggest frameworks about productivity data collection, accumulation.

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A Comparative Study on Construction Productivity Trends as Analyzed by Various Measures - South Korea, the U.S., the U.K., and Japan (1995-2015) - (측정지표에 따른 건설생산성 비교 - 한국, 미국, 영국, 일본(1995-2015) -)

  • Lee, Chijoo;Lee, Ghang;Won, Jongsung
    • Journal of the Architectural Institute of Korea Structure & Construction
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    • v.35 no.4
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    • pp.175-184
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    • 2019
  • To improve productivity in the architecture, construction and engineering industry, it is critical to understand both current and historic trends in construction productivity. This study analyzes and compares construction productivity trends of South Korea, the U.S., the U.K., and Japan 1995 to 2015 using the following three measures: construction labor productivity, construction duration per floor, and construction duration per 1,000 m2 floor area. As the results, the international competitiveness of each country varied according to which measures were used to analyze them. Among the four countries, the construction labor productivity of the U.S. was the highest, followed by that of South Korea. South Korea also had the second highest productivity growth rate, following that of Japan. On the other hand, when analyzed from the perspective of construction duration, the construction productivity in South Korea appeared relatively lower than those of other countries. There were differences in the location of construction competitiveness of each country analyzed by various measures. Therefore, to accurately diagnose and improve the construction competitiveness in South Korea, strategies based on various measures are need to established simultaneously.

Relationship Between Construction Productivity and the Weather Elements in the Reinforced Concrete Structure for the High-rise Apartment Buildings (기후요소와 생산성간의 상관관계 분석에 관한 연구 - 공동주택 철근콘크리트 골조공사를 중심으로 -)

  • Kim Shin-Tae;Kim Yea-Sang;Chin Sang-yoon
    • Korean Journal of Construction Engineering and Management
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    • v.5 no.6 s.22
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    • pp.80-89
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    • 2004
  • Among the various factors influencing construction productivity, weather conditions or elements become very important factors in planning and executing construction project. It is especially true in Korea where the weather changes dramatically through few seasons. In this study, relationship between construction productivity of the reinforced concrete structure we for the high-rise apartment buildings and 5 weather elements including temperature, humidity, day time, rainfall, and wind velocity have been analyzed The results trough regression analysis showed that weather elements explain $58.8\%$ of productivity in total and temperature and day time were more important factors among them.

A Study on the Development Prospects of Building Construction Productivity through Construction Status Analysis (건설업 실태분석을 통한 건설업생산성의 발전전망에 관한 연구)

  • Park, Hong Tae;Jeon, Jun Tai;Lee, Yang Kyu
    • Journal of the Society of Disaster Information
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    • v.8 no.3
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    • pp.242-257
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    • 2012
  • Korea's population change trend is the aging and feminization as Reduction in mortality, average life extension. and is further increased Reduction of birth rate and aging population. if Our country concluded FTA(Free Trade Agreement) with the United States, Europe and China etc. labor-intensive industries will be the decline. Then, the construction workers' jobs are continually reduced. This is critical to the nation's economic, social and environmental influences due to Shortage of construction workforce and increasing labor costs. Eventually this is a major factor in reduced construction productivity. Therefore, this study is presented as a construction productivity development prospects on the value-added analysis per Labour productivity employee from Construction market trends, industry-specific productivity index, industry trends Employed, age tiered workforce trends, women's workforce trends, labor time trend, foreign workers, workforce trends, analysis of trends in construction contract, awarded by Company Size trends, construction management analysis index.

The Application of Data Warehouse for Developing Construction Productivity Management System (건설생산성 관리 시스템 구축을 위한 데이터웨어하우스의 적용)

  • Oh, Se-Wook;Kim, Myoung-Ho;Kim, Young-Suk
    • 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.

Development of the Strategy for Construction Production Improvement by System Thinking (시스템 사고를 활용한 건축생산성향상 전략 수립에 관한 연구)

  • Kim, Bong-Sik;Lee, Yoon-Sun;Hong, Jung-Seok;Kim, Jae-Jun
    • 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.