• 제목/요약/키워드: Construction Time

검색결과 8,086건 처리시간 0.04초

건설공사 공기연장 책임구분의 문제점 및 개선방안 제시 (Improvement of Apportioning Responsibility for the Time Extension in Construction Projects)

  • 김종한;김경래
    • 한국건설관리학회:학술대회논문집
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    • 한국건설관리학회 2007년도 정기학술발표대회 논문집
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    • pp.60-67
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    • 2007
  • 최근 공공공사에서 공기연장은 지속적으로 발생하고 있으나 책임 미 이행으로 인하여 당사자의 손해 발생은 물론, 클레임 및 분쟁으로 비화될 가능성은 점차 커지고 있다. 이는 현행 공정간리가 책임구분이 불가능한 문제점을 내포하고 있어, 공기연장이 반복적으로 발생하고 있는 것이고, 당사자의 책임이행도 불가능하게 만들고 있는 것이다. 따라서 본 연구에서 건설공사 공기연장 책임구분의 문제점을 제시하고 문제점에 대한 개선방안을 제안하고자 한다.

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Identifying unsafe habits of construction workers based on real-time location

  • Li, Heng;Chan, Greg
    • 국제학술발표논문집
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    • The 6th International Conference on Construction Engineering and Project Management
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    • pp.10-14
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    • 2015
  • Unsafe behavior is one of the major causes of construction accidents. Managing the behavior of workers in real-time is difficult and requires huge manpower. In this paper, a new real-time locating framework is proposed to improve safety management by collecting and analyzing data describing the behavior of workers to identify habits that may lead to accidents. The aim of the study is to identify working habits of workers based on their location history. Location data is used to compare with that of other workers and equipment. The results indicate that the reuse of real-time location data can provide extra safety information for safety management and that the proposed system has the potential to prevent struck-by accidents and caught-in between accidents by predicting unwanted interaction between workers and equipment. This adds to current research aimed at automating construction safety to the point where the continuous monitoring, managing and protection of site workers on site is possible.

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IT Model to Calculate Required Equipments for Excavation Work in Construction Projects

  • Mahajan, Darshan A.;Rajput, Babalu L.
    • Journal of Construction Engineering and Project Management
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    • 제3권4호
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    • pp.1-4
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    • 2013
  • Excavation is most commonly used activity in all construction projects. All contracting agencies prefer to use bigger and heavier excavators and dumpers on site to do excavations if quantity of excavation is huge. Estimation of required number of excavators and dumpers for completion of excavation could be rather a tedious process involving repetitive calculation on which professionals spend their valuable time. As the Information Technology is highly involved in construction section there os need to have IT model for estimation of number of excavators and dumpers. The developed model is useful to calculate required equipments within short period of time. The purpose of the developed IT model is to save the time and efforts of the construction professional. The paper discusses about model which can be used on site to estimate numbers of excavators and dumpers required for completion of certain quantity of excavation within the given time. The calculation considers various existing formulas and method to generate the output. This information could certainly be useful in planning equipments on construction project sites. The tool is user friendly where any non IT background person can use it on construction sites.

이미지 기반 실시간 건설 현장 장비 및 작업자 모니터링을 위한 딥러닝 플랫폼 아키텍처 도출 (Deep learning platform architecture for monitoring image-based real-time construction site equipment and worker)

  • 강태욱;김병곤;정유석
    • 한국BIM학회 논문집
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    • 제11권2호
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    • pp.24-32
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    • 2021
  • Recently, starting with smart construction research, interest in technology that automates construction site management using artificial intelligence technology is increasing. In order to automate construction site management, it is necessary to recognize objects such as construction equipment or workers, and automatically analyze the relationship between them. For example, if the relationship between workers and construction equipment at a construction site can be known, various use cases of site management such as work productivity, equipment operation status monitoring, and safety management can be implemented. This study derives a real-time object detection platform architecture that is required when performing construction site management using deep learning technology, which has recently been increasingly used. To this end, deep learning models that support real-time object detection are investigated and analyzed. Based on this, a deep learning model development process required for real-time construction site object detection is defined. Based on the defined process, a prototype that learns and detects construction site objects is developed, and then platform development considerations and architecture are derived from the results.

근로시간 단축에 따른 건설현장에서의 근로패턴 예측 Model (The Prediction Model of a Working Pattern According to Working Time Reduction in Construction Sites)

  • 김홍렬;유일한;김경래;신동우
    • 한국건설관리학회:학술대회논문집
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    • 한국건설관리학회 2002년도 학술대회지
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    • pp.316-322
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    • 2002
  • 근로시간이 단축될 경우 건설산업은 타산업과는 달리 일회성, 옥외성, 계절성 등의 특성으로 인하여 근로시간 단축으로 인한 파급효과를 단순히 작업의 총량개념으로만 접근하여 분석하기에는 어려움이 있다. 법정 근로시간 단축의 영향을 보다 정확하게 예측하기 위해서는 예상되는 비용상승 효과가 실제 건설공사 생산구조에 어떻게 받아들여질 것인가에 대한 조사와 분석이 필수적이다. 이를 위해 건설현장의 근로시간과 근로패턴에 관한 문헌조사와 일본 건설산업의 근로시간 단축 사례 조사를 수행하였으며, 결과적으로 근로시간 단축으로 인한 현장의 근로패턴 변화를 분석${\cdot}$ 예측하였다. 근로 패턴 변화는 실제 생산활동에 참여하는 현장근로자를 대상으로 년 단위 현행 모델과 근로시간 단축 후의 예측 모델을 구축하여 비교${\cdot}$분석하였으며, 현장관리 측면에서의 대처방안을 제시하였다.

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AUTOMATED DATA COLLECTION TECHNOLOGY APPLICATIONS IN CONSTRUCTION

  • Ronie Navon
    • 국제학술발표논문집
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    • The 3th International Conference on Construction Engineering and Project Management
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    • pp.27-29
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    • 2009
  • Real-time control of on-site construction, based on high quality data, is essential to identify discrepancies between actual and planned performances. Additionally, real-time control enables timely corrective measures to be taken when needed to reduce the damages caused by the discrepancies. The focus of the presentation will be on our work, which uses automated data technologies to collect data needed for real time control.

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Stochastic Time-Cost Tradeoff Using Genetic Algorithm

  • Lee, Hyung-Guk;Lee, Dong-Eun
    • 국제학술발표논문집
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    • The 6th International Conference on Construction Engineering and Project Management
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    • pp.114-116
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    • 2015
  • This paper presents a Stochastic Time-Cost Tradeoff analysis system (STCT) that identifies optimal construction methods for activities, hence reducing the project completion time and cost simultaneously. It makes use of schedule information obtained from critical path method (CPM), applies alternative construction methods data obtained from estimators to respective activities, computes an optimal set of genetic algorithm (GA) parameters, executes simulation based GA experiments, and identifies near optimal solution(s). A test case verifies the usability of STCT.

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Challenges to Prevent in Practice for Effective Cost and Time Control of Construction Projects

  • Olawale, Yakubu A.
    • Journal of Construction Engineering and Project Management
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    • 제10권1호
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    • pp.16-32
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    • 2020
  • Cost and time control of projects is important in preventing project failure. However, achieving effective cost and time control in practice is often challenging. The challenges of project cost and time control in practice are investigated by carrying out a questionnaire survey on the top 150 construction contractors in the UK followed by in-depth semi-structured interviews of practitioners from 15 construction companies in the country. Quantitative analysis reveals that design change is the most important factor inhibiting the ability of UK contractors from effectively controlling both the cost and time of construction projects. Four of the top five factors inhibiting effective cost control are also the top factors inhibiting effective time control albeit in a different order. These top factors-design changes, inaccurate evaluation of project time/duration, risk and uncertainty, non-performance of subcontractors and nominated suppliers were also found to be endogenous factors to the project. Additionally, qualitative analysis of the interviews reveals 16 key challenges to prevent for effective project cost and time control in practice. These are classified into four categorised based on where they stem from as follows; from the organisation (1. Lack of integration of cost and time during project control, 2. lack of management buy-in, 3. complicated project control systems and processes, 4. lack of a project control training regime); from the construction management/project management approach (5. Lapses in integration of interfaces, 6. project control not being implemented from the early stages of a project, 7. inefficient utilisation and control of labour, 8. limited time devoted to planning how a project will be controlled at the outset); from the client; (9. Excessive authorisation gates, 10. use of adversarial and non-collaborative forms of contracts, 11. communication problems within client set-up, 12. obstructive client representatives) and; from the project team (13. Lack of detailed/complete design, 14. lack of trust among the project partners, 15. limited time devoted to project control on site, 16. non-factual reporting). The study posits that knowledge of these project control inhibiting factors and challenges is the first step at ensuring they are avoided and enable the implementation of a more effective project cost and time control process in practice.

BIM-BASED TIME SERIES COST MODEL FOR BUILDING PROJECTS: FOCUSING ON MATERIAL PRICES

  • Sungjoo Hwang;Moonseo Park;Hyun-Soo Lee;Hyunsoo Kim
    • 국제학술발표논문집
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    • The 4th International Conference on Construction Engineering and Project Management Organized by the University of New South Wales
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    • pp.1-6
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    • 2011
  • As large-scale building projects have recently increased for the residential, commercial and office facilities, construction costs for these projects have become a matter of great concern, due to their significant construction cost implications, as well as unpredictable market conditions and fluctuations in the rate of inflation during the projects' long-term construction periods. In particular, recent volatile fluctuations of construction material prices fueled such problems as cost forecasting. This research develops a time series model using the Box-Jenkins approach and material price time series data in Korea in order to forecast trends in the unit prices of required materials. Building information modeling (BIM) approaches are also used to analyze injection times of construction resources and to conduct quantity take-off so that total material prices can be forecast. To determine an optimal time series model for forecasting price trends, comparative analysis of predictability of tentative autoregressive integrated moving average (ARIMA) models is conducted. The proposed BIM-based time series forecasting model can help to deal with sudden changes in economic conditions by estimating material prices that correspond to resource injection times.

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공사기간 연장에 따른 추가간접비 사전합의 제도 도입 방안 연구 (Study on introduction of 'Pre-Agreement system for Additional Incidental Cost' related to construction time extension)

  • 정기창;이재섭;박양호
    • 한국건설관리학회논문집
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    • 제13권6호
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    • pp.33-44
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    • 2012
  • 본 연구는 공공공사 공기연장 시 발생하는 추가간접비의 지급개선방안에 관한 연구이다. 현장사례를 통해 공기연장 추가 간접비 미지급 원인을 분석한 결과 실비의 인정범위에 대한 다툼 및 증빙의 어려움이 있는 것으로 조사되었으며, 전문가 의견조사 실시결과 통계적 기준이 명확하다면 공기연장 추가간접비의 인정범위를 합의하는 '공기연장 사전합의 제도'를 실시할 수 있을 것으로 조사되었다. 따라서 본 연구는 다수의 현장 실비자료를 집계하여 공사프로젝트의 공종별, 공사금액별, 공사기간별 측면에서 산정하였다. 산정한 결과 공종 및 공사기간별 요인은 공사기간연장 추가간접비 발생금액에 직접적 영향을 미치는 것으로 볼 수 없으나 도급계약금액요인에 따라서는 직접적 연관성이 있는 것으로 나타났다. 이에 계약금액별 공사기간연장에 따른 추가비용인 '공기연장 표준추가간접비'를 제시하였으며, 공기연장비용 사전합의 제도를 시행하기 위한 제도적 개선방안을 제시하였다.