• Title/Summary/Keyword: CM 인력배치

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Policies and Tasks for Improving Korean CM Industry (CM 산업 발전을 위한 정책 및 과제 추진 방안)

  • Kang, Seunghee;Jung, Youngsoo;Kim, Namjoon;Shin, Dongwoo
    • Korean Journal of Construction Engineering and Management
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    • v.15 no.5
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    • pp.71-81
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    • 2014
  • As domestic construction investment has been gradually reduced, the issue of expanding overseas CM market has increased. Strengthening CM capability from the view point of project life-cycle is required in overseas CM market. However, current regulations institutionally force public CM services to focus on the construction phase. Therefore, Korean CM firms can hardly have the opportunities for accumulating technical competitiveness especially for pre-construction phase. Result of this study shows that the total efforts in terms of man-hours for the construction phase is found to be more than 78 percent in domestic public CM projects. In this context, this study proposes the policies and tasks for improving 'rigid man-hour placement', 'unreasonable CM fee standards', 'CM firm selection method', 'unreasonable business scope decision', and 'evaluation of owner's project management capability' in order to improve domestic CM Industry as well as to expand overseas CM market successfully.

Improvement of estimating method for construction management service fee by case study (사례분석을 통한 건설사업관리 대가산정 방법 개선)

  • Lee, Ung-Kyun;Yoo, Wi-Sung;Kim, Dong-In;Kim, Tae-Hoon;Cha, Min-Soo;Cho, Hun-Hee
    • Korean Journal of Construction Engineering and Management
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    • v.13 no.4
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    • pp.16-24
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    • 2012
  • The objective of this paper is to suggest the improvement of estimating system for construction management (CM) service fee through the analysis of the previous literatures and criteria and case study. In order to do this, this paper considered the relevance of existing criteria to estimate the CM service fee, the condition of input ratio of engineering resources in the real cases, and current utilization strategy of nonresident technical engineers. Based on the analysis, the following problems were identified; a) the different estimating system for CM fee and construction supervision fee, b) impractical estimating system for the CM fee, and c) inappropriate allocation of human resources for CM. Consequently, this paper suggested the following 4 items for the improvement of the existing system; (1) modification of the current structure of CM fee calculation, (2) rationalization of current level of the CM fee which is required to be raised approximately 5.4 percent compared to design or supervision fee, (3) securement of elasticity of the input ratio of engineering resources from the inception phase, and (4) development of the utilization strategy of nonresident engineers based on the technical requirement of the jobsite. Thus, it is anticipated that this research would affect the compensation package of CM in order to make the estimation process of CM service fee more efficient and to revitalize CM as business.

Improved Model for Index of Construction Engineer's Competency Evaluation System in Domestic Construction Management (국내 건설사업관리 기술인력 역량평가 개선모델(I2CEC))

  • Kang, Seongmi;Cha, Minsu;Lee, Woojae;Ji, Woojong;Cho, Hunhee;Yoo, Wisung
    • Korean Journal of Construction Engineering and Management
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    • v.21 no.2
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    • pp.47-58
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    • 2020
  • The ICEC (Index of Construction Engineer's Competency) quantifies the competence of construction engineers using such parameters as experience, education, and qualifications and assigns four technical grades (expert, advanced, intermediate, and beginners) to construction engineers according to their scores for the efficient management and loading of technical personnel. However, as of 2020, the seventh year since its implementation, ICEC has shown many problems in its application, unlike its intended purpose. So institutional supplementation is required to provide improvement measures that can cope with the changing labor market environment and complement the current ICEC. Therefore, this study examined the current status of the career management system after the introduction of the ICEC, suggested a career index proportional to the competence of construction engineers from the beginner to the expert level, and developed an effective capability evaluation model I2CEC. The improved model presented in this study provides a means to comprehensively judge the performance, experience, and the professional work abilities of construction management engineers. Furthermore, the results of this study are expected to contribute to the development of efficient manpower and career management systems for enhancing the competitiveness of the domestic construction industry.

Automatic Extraction of Tree Information in Forest Areas Using Local Maxima Based on Aerial LiDAR (항공 LiDAR 기반 Local Maxima를 이용한 산림지역 수목정보 추출 자동화)

  • In-Ha Choi;Sang-Kwan Nam;Seung-Yub Kim;Dong-Gook Lee
    • Korean Journal of Remote Sensing
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    • v.39 no.5_4
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    • pp.1155-1164
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    • 2023
  • Currently, the National Forest Inventory (NFI) collects tree information by human, so the range and time of the survey are limited. Research is actively being conducted to extract tree information from a large area using aerial Light Detection And Ranging (LiDAR) and aerial photographs, but it does not reflect the characteristics of forest areas in Korea because it is conducted in areas with wide tree spacing or evenly spaced trees. Therefore, this study proposed a methodology for generating Digital Surface Model (DSM), Digital Elevation Model (DEM), and Canopy Height Model (CHM) images using aerial LiDAR, extracting the tree height through the local Maxima, and calculating the Diameter at Breath Height (DBH) through the DBH-tree height formula. The detection accuracy of trees extracted through the proposed methodology was 88.46%, 86.14%, and 84.31%, respectively, and the Root Mean Squared Error (RMSE) of DBH calculated based on the tree height formula was around 5cm, confirming the possibility of using the proposed methodology. It is believed that if standardized research on various types of forests is conducted in the future, the scope of automation application of the manual national forest resource survey can be expanded.