• Title/Summary/Keyword: Supervisory manpower

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AUTOMATING SUPERVISORY MANPOWER ALLOCATION FOR CONSTRUCTION SITES

  • Jieh-Haur Chen;Li-Ren Yang;W. H. Chen;C. K. Chang
    • International conference on construction engineering and project management
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    • 2007.03a
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    • pp.239-248
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    • 2007
  • In the highly competitive construction industry, a slight inaccuracy of estimation can easily cause the loss of a project. Erroneous experience-based cost estimates or allocations of on-site supervisory manpower often offset the profit gained from the project and may jeopardize the management processes. To counter these types of problems, we develop a model using mathematical analysis and case-based reasoning to automate the allocation of on-site supervisory manpower and estimate construction site costs. The method is founded upon laborious data collection processes and analysis by matching statistical assumptions, and is applicable to construction projects. In the modeling the costs and allocation of on-site supervisory manpower are quantified for both owners and contractors before initiating or bidding on the projects. The findings confirm that the degree of variation of the model predictions has an accuracy rate at 88.47%. Single-site construction projects can be accurately predicted and the assignment of supervisory manpower feasibly automated.

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COVID-19 and Return-To-Work for the Construction Sector: Lessons From Singapore

  • Gan, Wee Hoe;Koh, David
    • Safety and Health at Work
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    • v.12 no.2
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    • pp.277-281
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    • 2021
  • Singapore's construction sector employs more than 450,000 workers. During the height of the COVID-19 pandemic in Singapore from April to June 2020, migrant workers were disproportionately affected, including many working in the construction sector. Shared accommodation and construction worksites emerged as nexuses for COVID-19 transmission. Official government resources, including COVID-19 epidemiological data, 43 advisories and 19 circulars by Singapore's Ministries of Health and Manpower, were reviewed over 8 month period from March to October 2020. From a peak COVID-19 incidence of 1,424.6/100,000 workers in May 2020, the incidence declined to 3.7/100,000 workers by October 2020. Multilevel safe management measures were implemented to enable the phased reopening of construction worksites from July 2020. Using the Swiss cheese risk management model, the authors described the various governmental, industry, supervisory and worker-specific interventions to prevent, detect and contain COVID-19 for safe resumption of work for the construction sector.

A study on Information Protection Manpower and Budget Adequacy for Cooperative-Type Financial Company's Federation (협동조합형 금융회사의 중앙회를 위한 정보보호 인력 및 예산의 적정성에 관한 연구)

  • Lim, Jung-hwan;Kim, In-Seok
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.16 no.3
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    • pp.29-38
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    • 2016
  • A financial institution operated by cooperatives, abiding by the principle set by the cooperative federation, is comprised of a numerous financial institutions. Most of these small institutions are operated within local areas, providing financial services for coop members. The Financial Supervisory Regulations that supervises security professionals, organizations, and budgets are established entirely based on commercial banks in which the application of these regulations on coop financial institutions may not be proper. This paper aims to provide an efficient IT security policy for nation-wide financial institutions operated by the Cooperative Federation by analyzing its security personnel managements and adequacy.

Robust Control of Multi-Echelon Production-Distribution Systems with Limited Decision Policy (II)- Numerical Simulation-

  • Jeong, Sang-Hwa;Oh, Yong-Hun;Kim, Sang-Suk
    • Journal of Mechanical Science and Technology
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    • v.14 no.4
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    • pp.380-392
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    • 2000
  • A typical production-distribution system consist of three main echelons representing the retailer, distributors, and a factory each with an on-site warehouse. The system is sufficiently general and realistic to represent many industrial situations. However, decision functions and parameters have been selected to apply particularly to the production and distribution of consumer durables. The flows included in the model are materials, orders, and those information flows needed to support the material and order-rate decisions. In this work, a realistic production-distribution system has been used as a basic model, which consists of three sectors: retailer, distributor, and factory. That system is a nonlinear 25th-order continuous system interconnected between the echelons. Using a modern control algorithm, a typical multi-echelon production-distribution system using a dynamic controller is numerically simulated in the nominal plant and in the perturbed plant when the piecewise constant manufacturing decision is limited by a factory manufacturing upper-limit due to capital equipment, manpower, and factory lotsize.

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Training Strategics for Future Farmers in Japan (농업인력증대를 위한 영농후계자 육성전략-일본의 사례를 중심으로-)

  • Sim, Jai-Sung
    • The Journal of Natural Sciences
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    • v.11 no.1
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    • pp.119-130
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    • 1999
  • As Japanese economy has been well developed, the manpower problem of farmland has also become one of the largest and the most crucial issues in the overall agricultural policy of the Japanese Government. Particularly, the energetic younger generation and a core of agricultural labor force, has drastically decreased, while the weak older generation has increased. The severity of manpower shortage in agricultural sector led to create a farmer training programs which had been vigorously begun by the Yamagata Prefecture, and a center for promoting local autonomy. The major purpose of education for enhancement of status of future farmers as well as the welfare of core farmhousehold is to provide them with technical of vocational education to give training to those who want to become agricultural technicians, rural leaders of practical farmers Educational program for future and young farmers put emphasis on practical trainings which are directly applied to proper farm management. As a supporting policy for promoting future farmers' activities, Prefecture-level supports were strengthened to develop technical capability, managerial and supervisory ability, and the ability to lead organized activity so that the farm youth may operate modern farms with higher efficiency and greater specialization. Political consideration was also made to develop a rich sense of farm management as well as the adaptability necessary to introduce technical and managerial innovations. Methological measurements on how the Korean government has to do for solving the problem of agricultural manpower facing in farmland in Korea were noted.

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A Development on Deep Learning-based Detecting Technology of Rebar Placement for Improving Building Supervision Efficiency (감리업무 효율성 향상을 위한 딥러닝 기반 철근배근 디텍팅 기술 개발)

  • Park, Jin-Hui;Kim, Tae-Hoon;Choo, Seung-Yeon
    • Journal of the Architectural Institute of Korea Planning & Design
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    • v.36 no.5
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    • pp.93-103
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    • 2020
  • The purpose of this study is to suggest a supervisory way to improve the efficiency of Building Supervision using Deep Learning, especially object detecting technology. Since the establishment of the Building Supervision system in Korea, it has been changed and improved many times systematically, but it is hard to find any improvement in terms of implementing methods. Therefore, the Supervision is until now the area where a lot of money, time and manpower are needed. This might give a room for superficial, formal and documentary supervision that could lead to faulty construction. This study suggests a way of Building Supervision which is more automatic and effective so that it can lead to save the time, effort and money. And the way is to detect the hoop-bars of a column and count the number of it automatically. For this study, we made a hoop-bar detecting network by transfor learnning of YOLOv2 network through MATLAB. Among many training experiments, relatively most accurate network was selected, and this network was able to detect rebar placement in building site pictures with the accuracy of 92.85% for similar images to those used in trainings, and 90% or more for new images at specific distance. It was also able to count the number of hoop-bars. The result showed the possibility of automatic Building Supervision and its efficiency improvement.

Review of China's National Earthquake Governance and Role-Sharing (중국 국가 지진 거버넌스 및 역할분담 고찰)

  • Kim, Seong-Yong
    • Economic and Environmental Geology
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    • v.54 no.1
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    • pp.127-136
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    • 2021
  • This study was carried out to understand China's earthquake governance and role-sharing, and to strategically use it for research cooperation in related fields with China. The characteristics of China's national earthquake governance and role-sharing are detailed in this study. First, unlike Korea, China's geoscience and earthquake research fields are separate, and are clearly distinguished from other fields of science and technology. They hold a higher status compared to other fields in China. Second, China's provincial earthquake agencies simultaneously carry out related tasks under the dual supervisory management system of the central and provincial governments. Third, the China Earthquake Administration (CEA) has the authority to do research and development, manpower training, and degree conferment, which are centered on directly affiliated institutions. Fourth, China carries out similar functions in directly affiliated institutions of the CEA and the China Geological Survey (CGS), and affiliated institutions of the Chinese Academy of Sciences (CAS), respectively. Fifth, the CEA is continuously expanding the seismic observation network that connects the vast land of the country. Sixth, China is considered to have detailed structures of earthquake-related laws and regulations. Given China's earthquake governance and role-sharing, it is considered that the possibility of success in research cooperation is high if Korea first determines whether it is under the jurisdiction of the CGS, CEA, and CAS, depending on the specific field.