• Title/Summary/Keyword: Construction Analysis

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A preliminary Study on Development of Overseas Construction Big Issues Based on Analysis of Big Data (빅 데이터 분석을 통한 해외건설 빅 이슈 개발에 관한 기초연구)

  • Park, Hwan-Pyo;Han, Jae-Goo
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2017.05a
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    • pp.93-94
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    • 2017
  • This study have derived the big issue of overseas construction through big data analysis. For identification of big issues on overseas construction, domestic online articles, 30 daily newspapers like the JoongAng Ilbo, 7 construction related articles including construction economy and 1,759 local newspapers and small media companies were analyzed from October 1st, 2015 to September 30th, 2016. 13,884 cases in total were used for big data analyses and big issue candidates were identified. The analysis result is as shown below. First, looking into major issues on overseas construction for a year, construction orders in the Middle East decreased because of the drop in oil prices. Accordingly, there were discussions on concerns and crises we may face as profitabilities worsened in overseas construction. Second, analyzing main concern based on 8 key words on overseas construction among construction issues for the last one year, it was found as following: Region (29.4%), Business environment (21.4%), Group (15.8%), Profitability (14.5%), Policy and Institution (7.8%), Market environment (4.2%), Business (project) (4.15%), and Education (3.2%). Third, among 30 issues on 8 key words, 10 key issues that are likely to spread and continue were identified. Then, a semantic network map among key words and centrality were analyzed.

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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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Study on the Analysis of Domestic Construction Management Orders

  • Park, Jongsoon;Lee, Keunwon;Ann, Kyunghwan;Shin, Changhyun;Cho, Jaeho;Chun, Jaeyoul
    • International conference on construction engineering and project management
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    • 2015.10a
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    • pp.387-391
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    • 2015
  • Currently, there is insufficient research on the construction management performance since the CM system was introduced in Korea. For successful completion of construction projects, active use of construction mangers on projects is necessary by introducing construction management to the projects. In view of this, this study analyzed the annual CM performance from 1996 to 2013 but for the past 5 years from 2009 to 2013, a detailed analysis was carried out. For different sectors, CM performances were divided into public and private sectors, for project types, construction, civil and others, for project phases, pre-design, design, construction and post-construction phases, for contract types, sole and joint contract types, for project scale, the amount of the projects was taken into consideration and they were divided into large, medium and small scales and for the types of projects, they were divided into, shops, department stores, shopping centers, hospitals, government buildings, hotels, accommodation facilities, factories, buildings for workshops, office buildings, stadiums, playgrounds, schools and other construction types and all the data divided into such categories was analyzed. The results in this study can be used as a basic reference for studies in analysing construction management performances.

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Risk analysis using PROMETHEE method In Building Construction MANAGEMENT

  • Jang-Young Lee;You-Sang Yoon;Myung-Houn Jang;Sang-Wook Suh
    • International conference on construction engineering and project management
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    • 2009.05a
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    • pp.1364-1369
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    • 2009
  • The building construction projects include a variety of risk factors due to uncertainties. To succeed in the projects, it is important how risks are managed. Risk management is composed of identification, analysis and response. Especially, the risk analysis is important to objectively calculate significance of risk factors. This paper evaluates a method to find priorities of risks using the AHP(Analytic Hierarchy Process). The method has some defects; (1) the consistency becomes weak as the number of pair-wise compared risks is large, and (2) the input and output procedures are complex when risks are added to or removed from a risk database. Thus the paper adopt the PROMETHEE(Preference Ranking Organization METHod Enrichment Evaluations) analysis process which is able to overcome the limitation of the AHP restricted to 9 risk factors. The PROMETHEE method makes the procedure of risk analysis simple, when the risk factors pull out and put in the risk database. The purpose of this study is to prove the possibility of the PROMETHEE analysis process by being compared with AHP.

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Analysis of Seasonal Importance of Construction Hazards Using Text Mining (텍스트마이닝을 이용한 건설공사 위험요소의 계절별 중요도 분석)

  • Park, Kichang;Kim, Hyoungkwan
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.41 no.3
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    • pp.305-316
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    • 2021
  • Construction accidents occur due to a number of reasons-worker carelessness, non-adoption of safety equipment, and failure to comply with safety rules are some examples. Because much construction work is done outdoors, weather conditions can also be a factor in accidents. Past construction accident data are useful for accident prevention, but since construction accident data are often in a text format consisting of natural language, extracting construction hazards from construction accident data can take a lot of time and that entails extra cost. Therefore, in this study, we extracted construction hazards from 2,026 domestic construction accident reports using text mining and performed a seasonal analysis of construction hazards through frequency analysis and centrality analysis. Of the 254 construction hazards defined by Korea's Ministry of Land, Infrastructure, and Transport, we extracted 51 risk factors from the construction accident data. The results showed that a significant hazard was "Formwork" in spring and autumn, "Scaffold" in summer, and "Crane" in winter. The proposed method would enable construction safety managers to prepare better safety measures against outdoor construction accidents according to weather, season, and climate.

Nonlinear time-varying analysis algorithms for modeling the behavior of complex rigid long-span steel structures during construction processes

  • Tian, Li-Min;Hao, Ji-Ping
    • Steel and Composite Structures
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    • v.18 no.5
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    • pp.1197-1214
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    • 2015
  • There is a great difference in mechanical behavior between design model one-time loading and step-by-step construction process. This paper presents practical computational methods for simulating the structural behavior of long-span rigid steel structures during construction processes. It introduces the positioning principle of node rectification for installation which is especially suitable for rigid long-span steel structures. Novel improved nonlinear analytical methods, known as element birth and death of node rectification, are introduced based on several calculating methods, as well as a forward iteration of node rectification method. These methods proposed in this paper can solve the problem of element's 'floating' and can be easily incorporated in commercial finite element software. These proposed methods were eventually implemented in the computer simulation and analysis of the main stadium for the Universiade Sports Center during the construction process. The optimum construction scheme of the structure is determined by the improved algorithm and the computational results matched well with the measured values in the project, thus indicating that the novel nonlinear time-varying analysis approach is effective construction simulation of complex rigid long-span steel structures and provides useful reference for future design and construction.

A Management Performance Measurement Model of the Construction Engineering Firm -Focused on 'H' Construction Engineering Firm- (건설엔지니어링 기업의 경영성과측정모형 -H사의 사례를 중심으로-)

  • Park Chan-Sik;Kim Hyun-Jun;Jeon Yong-Seok
    • Korean Journal of Construction Engineering and Management
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    • v.5 no.2 s.18
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    • pp.202-210
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    • 2004
  • Under the current competitive business environment, the complexity of procurement method, and the lack of engineering capacity in the construction engineering industry, a construction engineering firms require the business strategy and its performance measurement system. This study suggests a performance measurement model that could follow 'H' construction engineering firm's vision and strategy. The model utilizes the concept of Balanced Scorecard. The study proposes the four main performance perspectives such as financial, growth, internal efficiency, and improvement & learning through the long-term strategy analysis, SWOT analysis, and interviews of the employees. Also the study develops the critical success factor and the key performance indicators. The usefulness of the performance measurement model is validated through the gap analysis such as alignment analysis and consensus analysis.

An Analysis of the Casual Relations on Construction Project Manager's level Competency (건설 현장 관리자 역량의 인과관계 구조 분석)

  • Kim, Do-Yeob;Kim, Hwa-Rang;Jang, Hyoun-Seung
    • Journal of the Architectural Institute of Korea Structure & Construction
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    • v.34 no.3
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    • pp.77-86
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    • 2018
  • Recently, Korean construction industry is moving from quantitative growth to qualitative growth. Among the changes in the construction industry, the competency of the project manager who represents the construction project as well as the construction company has been referred to as a factor that effects qualitative growth. This research utilized previous research analysis and expert interview in order to extract essential competency factors of a construction project manager. DEMATEL method was utilized to analyze the quantitative and objective causal relationship between the competency factors. The causal relationship of the competency factors were visualized through Digraph (directed graph) and competency areas of the project manager that requires strengthening were also suggested. Analysis result showed that the important competency categories of a project manager were Internal & External Communication, Project Management Body of Knowledge, and Inspirational Leadership. The analysis results of this research can be utilized in developing competency enhancement method for future project managers and as a basic data in developing an education program.

Analysis of Patents Related to Oil Diagnosis of Construction Equipment (건설기계의 오일진단 관련 특허 분석)

  • Hong, Sung-Ho;Jang, Beom-Suk
    • Tribology and Lubricants
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    • v.38 no.4
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    • pp.143-151
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    • 2022
  • This study analyzes patents related to oil diagnosis of construction equipment. Oil diagnosis is extremely important for maintaining construction equipment properly. Through the evaluation of existing patents, a patent strategy for the future construction equipment market is presented. The related patents are classified and selected in several steps. Finally, 16 valid patents are selected and analyzed in detail. In the classification process, patents are classified by country, year, and company. A market analysis shows that the top 10 companies have a market share of more than 50. In addition to patents related to the oil analysis of construction equipment, patents related to automobile oil analysis and development of oil sensors are investigated to identify the contents of patents in other fields that can be applied to oil diagnosis technology for construction equipment. Moreover, not only the contents of research articles of two Korean construction companies, but also the research trends in the literature in this field are used in the analysis. The related patents of the two Korean companies are few. Companies with a high market share, including Caterpillar, hold many patents, and patents for diagnosis algorithms using such technologies as artificial intelligence and artificial neural networks, along with oil sensor-based condition monitoring technology, are gradually expanding.

Case analysis study on measures to reduce accidents in the construction industry (건설산업재해 저감 대책에 관한 사례분석 연구)

  • Kang, Kyung-Ha;So, Seung-Young
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2021.11a
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    • pp.94-95
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    • 2021
  • With the recent advancement of the construction industry, interest in it is growing as the accident rate in the construction industry continues to increase due to the enlargement and complexity of the construction scale. These social issues are focused on the safety of construction work, and research on construction industrial accidents is continuously being conducted, but research on measures to reduce construction industrial accidents is surprisingly insufficient. Therefore, in this study, research on reduction measures to increase the safety of construction industrial accidents conducted for 5 years from 2017 to 2021 is investigated and compared, and it is intended to be used as basic data for future construction industrial accident reduction measures.

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