• Title/Summary/Keyword: construction productivity

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A Fundamental Study on International Comparison of Labor Productivity in Construction Industry (건설업 노동생산성의 국제비교에 관한 기초 연구)

  • Park, Hwan-Pyo
    • 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.

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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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The Study on the Analysis of Factors Decreasing Construction Labor-Productivity Using AHP Method (AHP기법을 이용한 건설노동생산성 저하요인 분석에 관한 연구)

  • Pyo Young-Min;Bae Soo-Yong;Ryu Hyoung-Han;Lee Sang-Beom
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2005.05a
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    • pp.141-147
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    • 2005
  • Usually, processing whole project or a part of frame work delays due to acceleration, changing orders, management, characters of project. overtime, worker crowding, early occupation in the field of construction. Through a whole project, these factors cause decreasing construction labor-productivity which is the most dependent in business of construction. These kind of decreasing of construction labor-productivity cause many negative effects, just as extension of time, increasing cost in project of construction. Regardless of characters of construction or decreasing labor-productivity, extension of time is a incident which needs acceleration, also it cause a high possibility of claim and dispute. The productivity has just a broad meaning in business of construction. That's why it's difficult to apply in the field of construction. Especially, factors increasing or decreasing labor-productivity is defined by analysis of working as qualitative and outlined evaluation. However, study of the each factor decreasing construction labor-productivity analysis has not researched, because of difficulty of systematic measurement and management. The existed studies about management of productivity are just focused on estimation of productivity, not on evaluation of productivity. It was true that I couldn't examine clearly about the analysis of how much important per each the factor which have influence on labor-productivity because of the characteristic as qualitative that the labor productivity have On this study, i tried to get the factors decreasing of labor- productivity with gathering opinions of panels of expert's studies about the factors decreasing of labor-productivity on project of construction through Delphi method and i evaluated the result factors as quantitatively and subjectively about importance of factors decreasing construction labor-productivity Analysis, using AHP Method by Saaty. Also, using Delphi and AHP method, 1 suggest substantiated method qualitative factors are measured by quantitative criteria.

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PRODUCTIVITY PREDICTION MODEL BASED ON PRODUCTIVION INFLUENCING FACTORS: FOCUSED ON FORMWORK OF RESIDENTIAL BUILDING

  • Byungki Kwon;Hyun-soo Lee;Moonseo Park;Hyunsoo Kim
    • International conference on construction engineering and project management
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    • 2011.02a
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    • pp.58-65
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    • 2011
  • Construction Productivity is one of the most important elements in construction management. It is used in construction process scheduling and cost management, which are significant sector in construction management. It is important to make appropriate schedule and monitor how works are done within schedule. But construction project contains uncertainty and inexactitude, modifying construction schedule is being an issue to manage construction works well. Even though prediction and monitoring of productivity can be principal activity, it is hard to predict productivity with manager's experience and a standard of estimate. A large number of factors influencing productivity, such as drawing, construction method, weather, labor, material, equipment, etc. But current calculation of productivity depends on empirical probability, not consider difference of each influencing factor. In this research, the aim is to present a productivity predicting regression model of form work, which includes effectiveness of influences factors. 5 variables existed inside form work are selected by interview and site research based on literature review of existed various productivity influencing factors. The effectiveness and correlation of productivity influencing factors are analyzed by statistical approach, and it is used to make productivity regression model. The finding of this research will improves monitoring and controlling of project schedule in construction phase.

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APPLICATION OF AHP IN IDENTIFYING CONSTRUCTION PRODUCTIVITY FACTORS

  • Ishwar Adhikari;Soo-Yong Kim;Young Dai Lee
    • International conference on construction engineering and project management
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    • 2005.10a
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    • pp.667-671
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    • 2005
  • Analytical hierarchy process (AHP) is a potential decision making method in management that can be used in project management as well. Lack of productivity is perhaps the number one problem confronting in the construction industry. There are numerous factors which affect the productivity of a construction project, so it is necessary to find out the critical factors giving birth to productivity. In this paper, construction productivity is taken as example for the demonstration of the AHP application to find out the critical productivity factor in which the Level 1 is taken as selection of critical productivity factor, Level 2 as construction parties and Level 3 as productivity factors group. The outcome of this study is beneficial to the entire constructional professionals for applying the AHP.

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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.

A Probabilistic Fuzzy Logic Approach to Identify Productivity Factors in Indian Construction Projects

  • Princy, J. Darwin;Shanmugapriya, S.
    • Journal of Construction Engineering and Project Management
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    • v.7 no.3
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    • pp.39-55
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    • 2017
  • Preeminent performance of construction industry are unattainable with poor productivity resulting in time and cost over runs. Enhancement in productivity cannot be achieved without identifying and analyzing factors that adversely affect productivity. The objective therefore is to propose a productivity analysis model to quantify the probability of effect of factors influencing productivity by using fuzzy logic incorporated with relative importance index method, for various types of construction projects. To achieve this objective, a questionnaire survey was carried out targeting respondents of Indian construction industry, from four distinct projects, namely, residential, commercial, infrastructure and industrial projects. Based on questionnaire administered, the relative importance and ranks of factors demonstrated using relative importance index method. Probability assessment model to analyze productivity was then developed by using Fuzzy Logic Toolbox of MATLAB. The applicability of the proposed model was tested in seven construction projects and the probability of impact of factors on productivity evaluated. The results of application of model in the construction firms infers that the most contributing factor groups for most of the projects were discerned to be manpower, motivation and time group.

Construction Projects Productivity in West African country of Benin: Case of Ground Earthworks

  • Akogbe, Romuald Kokou;Feng, Xin;Zhou, Jing
    • Journal of Construction Engineering and Project Management
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    • v.5 no.2
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    • pp.16-23
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    • 2015
  • In this paper, a survey related to excavation construction activities among national and international construction companies was conducted to evaluate site productivity in construction industry. To analyze the respective productivity levels of each construction company, a benchmarking measures analysis that featured calculations of the performance ratio (PR) and performance management index (PMI) was performed. As a result of these analyses, it has been found that the work performed by local companies was marked by lower productivity and that of international companies was characterized by good productivity. Further analysis of construction workforce resources P% revealed that a construction company's productivity is largely dependent on production capacity and consumption resources, which means that the retention of skilled workers and utilization of high-quality resources yields the highest level of productivity. These results suggest that for a local construction company to be competitive in the construction work market, it must retrain skilled craftspeople, foremen, engineers, and project managers, and strengthen its building capability by leveraging new equipment and technologies.

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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A preliminary study of the construction project productivity data platform development (건설 프로젝트 생산성 정보 플랫폼 구축방안 기초연구)

  • Kang, Goune;Lee, Gyu;Lee, Kyo-sun
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2018.05a
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    • pp.296-297
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    • 2018
  • Due to the decrease in infrastructure investment and stagnation of overseas construction, it is concerned the instability of the construction market. Enhancing the Korean construction competitiveness, productivity improvement could be the breakthrough. In addition, defining construction contents utilizing virtual reality technology is drawing attention along with the trend of the fourth industrial revolution technology development toward the labor productivity improvement. This study conducted a survey to figure out the present state of the productivity management in field and comprehend the factors influence on construction productivity for further Korean construction productivity data platform.

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