• Title/Summary/Keyword: Re-Shoring

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BIM-BASED PLANNING OF TEMPORARY FACILITIES FOR CONCRETE CONSTRUCTION

  • Kyungki Kim;Jochen Teizer
    • International conference on construction engineering and project management
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    • 2013.01a
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    • pp.1-6
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    • 2013
  • Concrete construction requires utilization of many temporary facilities such as formwork, shoring, and scaffolding. Appropriate use of these temporary facilities greatly impacts the quality, cost, schedule, and safety of concrete construction. The current practice in design and planning of temporary facilities is often manual, error-prone, and re-active based on construction site layout, status, and progress in the field. Early design and planning of temporary facilities for concrete construction using Building Information Modeling (BIM) technology offers a potential solution. Although some commercially-available software exists that assists in the generation of temporary facility designs, the construction industry lacks tools that support detailed planning and design of many other temporary facilities. This research presents our early work in automating the design and planning of temporary facilities utilizing BIM. Algorithms were developed to automatically assess geometric conditions of work space to detect required temporary facilities and design them. The proposed methodology was implemented in a test model. By automatically incorporating temporary facilities into BIM, more realistic construction models can be created with less effort and errors. Temporary facilities-loaded models can finally be used for communication, bill of materials, scheduling, etc. and as a benchmark for field installation of temporary formwork, shoring, and scaffolding systems.

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A Study on the Growth of Air Cargo Volume and the Development Plan for Regional Airport Focusing on Cheonng-Ju Int'l Airport (항공화물 활성화를 위한 정책분석과 지방공항 발전방안 연구: 청주국제공항을 중심으로)

  • Won-Tae Park;Yeon-Young Sung;Sung-Sik Park
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.32 no.2
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    • pp.112-123
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    • 2024
  • Responding to rapid changes of global supply chain and fast increasing air cargo volume and demand for e-commerce market, this paper researched the development plans for regional airport specially focused on air cargo logostics through policy research. According to this research, political implications and development plans for Cheong Ju airport (CJJ) to become a part of global supply chain, a regional air cargo hub. Firstly, it is necessary to increase the length of the existing runway from 2,744m to 3,200m or to develop 3rd runway only for a civil aircraft use. Secondly, it is inevitable to develop new air cargo terminal to handle and export such high value-added products as semi-conductor or rechargeable battery through airport. In addition, facing re-shoring trends among global supply chain, CJJ can increase its air cargo volume and also provide feeder service to Incheon airport, inducing global distribution center near airport site.

Neuro-fuzzy based approach for estimation of concrete compressive strength

  • Xue, Xinhua;Zhou, Hongwei
    • Computers and Concrete
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    • v.21 no.6
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    • pp.697-703
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    • 2018
  • Compressive strength is one of the most important engineering properties of concrete, and testing of the compressive strength of concrete specimens is often costly and time consuming. In order to provide the time for concrete form removal, re-shoring to slab, project scheduling and quality control, it is necessary to predict the concrete strength based upon the early strength data. However, concrete compressive strength is affected by many factors, such as quality of raw materials, water cement ratio, ratio of fine aggregate to coarse aggregate, age of concrete, compaction of concrete, temperature, relative humidity and curing of concrete. The concrete compressive strength is a quite nonlinear function that changes depend on the materials used in the concrete and the time. This paper presents an adaptive neuro-fuzzy inference system (ANFIS) for the prediction of concrete compressive strength. The training of fuzzy system was performed by a hybrid method of gradient descent method and least squares algorithm, and the subtractive clustering algorithm (SCA) was utilized for optimizing the number of fuzzy rules. Experimental data on concrete compressive strength in the literature were used to validate and evaluate the performance of the proposed ANFIS model. Further, predictions from three models (the back propagation neural network model, the statistics model, and the ANFIS model) were compared with the experimental data. The results show that the proposed ANFIS model is a feasible, efficient, and accurate tool for predicting the concrete compressive strength.

Analysis on Issues Related to Supply Chain Management in the Era of Covid19 using Network Text Analysis (코로나19 시대의 공급사슬관리 관련 이슈 분석: 기사자료 네트워크 텍스트 분석을 중심으로)

  • Rha, Jin Sung
    • Journal of Korea Society of Industrial Information Systems
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    • v.25 no.6
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    • pp.109-123
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    • 2020
  • There has been a major change in the way of life and thinking of all mankind due to covid19. In particular, managerial issues related to supply chain such as global supply chain disruption, and trade friction among countries are drawing the attention. Accordingly, a number of studies are being conducted on the supply chain challenges and solutions to overcome the covid19 crisis, but published research on the impact of covid19 on supply chain management is lacking. In this study, network text analysis is conducted mainly on news articles and this study summarizes the issues related to supply chain management in the era of covid19. The trend analysis results indicated that actively discussed area was global supply chain restructuring and confirmed that main topics are re-shoring, applications of new technology, and the new normal in supply chains. The findings are expected to help expand the scope of research in supply chain management research in the covid19 era.

Reglobalization and Geoeconomic Fragmentation: A Case Study of Chinese E-commerce in the Post-CO VID-19 Era (재세계화와 지경학적 분절화: 코로나 19 이후 중국 전자상거래 기업의 한국 시장 진출을 사례로)

  • Yilsoon Paek
    • Journal of the Economic Geographical Society of Korea
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    • v.27 no.1
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    • pp.53-73
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    • 2024
  • While global production supply chains are expected to shift toward friendly or allied countries, pandemic-shoring such as nearshoring and friendshoring, due to increased protectionism and the reorganization of regional value chains in the wake of the global pandemic, the study found that economic rather than political factors are still at play in consumer supply chains. In the case of Chinese e-commerce market (C-commerce), the study attributes the rapid growth of the market to (1) related regulatory relaxations introduced to stimulate consumption after the end of COVID-19, (2) an increasing pattern of wanting to consume more for a limited income and (3) unconventional business activities to increase their share of the global consumption market. Through these phenomena, the production-consumption network is likely to develop into a more fragmented form, and the consumption network in particular is expected to become more fragmented, influenced by the digital technology war, a phenomenon of re-globalization.