• 제목/요약/키워드: Construction project risk management

검색결과 482건 처리시간 0.028초

The Influence of Organizational External Factors on Construction Risk Management among Nigerian Construction Companies

  • Adeleke, A.Q.;Bahaudin, A.Y.;Kamaruddeen, A.M.;Bamgbade, J.A.;Salimon, Maruf Gbadebo;Khan, Muhammad Waris Ali;Sorooshian, Shahryar
    • Safety and Health at Work
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    • 제9권1호
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    • pp.115-124
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    • 2018
  • Background: Substantial empirical research has shown conflicting results regarding the influence of organizational external factors on construction risk management, suggesting the necessity to introduce a moderator into the study. The present research confirmed whether rules and regulations matter on the relationships between organizational external factors and construction risk management. Methods: Based on discouragement and organizational control theory, this research examined the effects of organizational external factors and rules and regulations on construction risk management among 238 employees operating in construction companies in Abuja and Lagos, Nigeria. A personally administered questionnaire was used to acquire the data. The data were analyzed using partial least squares structural equation modeling. Results: A significant positive relationship between organizational external factors and construction risk management was asserted. This study also found a significant positive relationship between rules and regulations and construction risk management. As anticipated, rules and regulations were found to moderate the relationship between organizational external factors and construction risk management, with a significant positive result. Similarly, a significant interaction effect was also found between rules and regulations and organizational external factors. Implications of the research from a Nigerian point of view have also been discussed. Conclusion: Political, economy, and technology factors helped the construction companies to reduce the chance of risk occurrence during the construction activities. Rules and regulations also helped to lessen the rate of accidents involving construction workers as well as the duration of the projects. Similarly, the influence of the organizational external factors with rules and regulations on construction risk management has proven that most of the construction companies that implement the aforementioned factors have the chance to deliver their projects within the stipulated time, cost, and qualities, which can be used as a yardstick to measure a good project.

대형공공공사에 J/V(Joint Venture)시스템의 합리적 도입을 통한 건설사업 효율화 전략 (A Strategy of Construction through Rationally Adapting JV(Joint Venture) in Large Public Constructions)

  • 이태식;김용천;박동찬;선우강;김열규
    • 한국철도학회:학술대회논문집
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    • 한국철도학회 2001년도 춘계학술대회 논문집
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    • pp.24-29
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    • 2001
  • Despite of the introduction some sorts of the contract and the bid method like CM(Construction management) that will be efficient to manage the construction project. Korean agencies limit to control project management to do large public constructions. In the case of Taiwan, THSRC is apply J/V system in the public construction project, they are accomplishing that expend optimal the cost and save the construction time. To success J/V it has two factors, one is risk management and another is sharing information of construction project. Therefore, we will study to introduce J/V system to our construction project.

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Using Real Options to value the flexibility of Engineering Management decisions in Infrastructure Projects

  • Koo, Bonsang
    • Journal of Construction Engineering and Project Management
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    • 제3권1호
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    • pp.10-13
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    • 2013
  • Determining on a particular construction method is typically decided in the initial phases of a project. However, changing conditions during actual construction may require a different method or technology to be employed. Providing an option for project managers to change construction provides flexibility that can increase value to the overall project. This research provides the ability to modify construction methods as a real option, which allows its value to be modeled. The research also formalizes a way to integrate a binomial lattice model with the Earned Value Method's S-curve. The integrated model provides a decision support tool that planners can use to determine whether to exercise the option depending on the status metrics provided by EVM.

Global Collaboration During Front End Planning of Capital Projects

  • Gibson, G. Edward Jr.
    • 국제학술발표논문집
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    • The 6th International Conference on Construction Engineering and Project Management
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    • pp.15-18
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    • 2015
  • Front end planning is arguably the most impactful process in the successful delivery of capital projects. Organizations expend substantial effort in this planning process, intending to minimize risk and promote project success. This process has been well documented, including critical technical components, as well as the importance of team collaborative components. As organizations continue to pursue large projects with multi-national participation from sponsors, designers, contractors and suppliers, the importance of collaboration on a global scale during front end planning becomes more important, not less. This paper will outline research performed over the past two decades giving the basic components of the process and the value of global collaboration. It will provide guidance to project participants in pursuing successful planning.

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도시재생사업 참여주체별 위험인지 체크리스트 개발 (A Development of Risk Identification Checklist for Stakeholder in Urban regeneration-Projects)

  • 박규영;김선규
    • 한국건설관리학회:학술대회논문집
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    • 한국건설관리학회 2008년도 정기학술발표대회 논문집
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    • pp.487-490
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    • 2008
  • 최근 활발히 진행되고 있는 도시재생사업과 같은 대규모 복합개발사업은 사업기간이 길고 다양한 사업주체들이 참여한다. 이러한 특성 때문에 사업추진 과정상 많은 위험요인들을 내포하게 되고 이를 관리하는 것은 사업의 성패에 큰 영향을 미친다. 그러므로 도시재생사업에서 위험을 인지하고 대응하는 일련의 위험관리 과정은 정확하고 체계적으로 수행되어야 한다. 위험관리과정에서 위험인지단계는 다양한 위험요인을 인지하고 그 위험의 성격을 규정하는 첫 단계이다. 위험을 인지하는 기법 중 체크리스트는 가장 보편적이고 실용적인 방법이라고 할 수 있다. 따라서 본 연구에서는 도시재생사업의 개발단계에서 사업주체들의 업무를 분석하고, 위험을 도출하여 사업주체별로 위험을 분류하는 체크리스트를 제안하였다. 이러한 주체별 위험요인 체크리스트는 실무자가 쉽게 위험을 파악할 수 있는 도구로써, 도시재생사업과 같이 다양한 사업주체들이 자신은 물론 다른 사업 참여자들의 위험을 인지하는데도 효과적일 것이라고 기대된다.

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해외 건설 다수 프로젝트 관리를 위한 허용리스크 도출 - 중소·중견 건설기업 관점에서 - (Development Acceptable Risk Model for International Construction Projects - Focusing on Small and Medium Construction Companies -)

  • 황건욱;박찬영;장우식;한승헌;강신영
    • 한국건설관리학회논문집
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    • 제17권3호
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    • pp.90-97
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    • 2016
  • 해외 시장에서 한국 건설기업들의 지속적인 성장에 힘입어 중소 중견기업 역시 눈에 띄게 성장 하였다. 중소 중견기업의 진출 형태 또한 기존 단일 하도급 위주의 프로젝트 수행에서 다수 원도급 위주의 프로젝트 수행으로 고도화 되고 있다. 하지만 수익률 측면에서 여전히 적자 현상에서 벗어나지 못하고 있다(대기업 5건 중 1건 적자, 중소기업 3건 중 1건 적자 공사). 이에 본 연구에서는 고도화된 진출형태에 따른 중소 중견기업의 다수프로젝트 관리방안을 도출하고자 한다. 1965년부터 시행된 8,000여 건의 해외건설 준공데이터 정보를 기반으로 프로젝트 통합리스크를 측정한다. 또한 통합리스크와 수익률간의 상관관계를 기반으로 기업별 최대로 허용할 수 있는 허용리스크 도출 알고리즘을 개발하였다. 3개 기업을 선정하여 이들 기업의 재무제표 분석을 수행하였으며 기업의 허용리스크 구간이 기업의 성과와 상관성이 있다는 것을 도출하였다. 허용리스크 측정을 통해 중소 중견 기업관점에서 다수프로젝트 관리를 위한 중요한 참고자료를 제시할 수 있을 것이라 기대한다.

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.

Investigating delay factors in construction industry: A Korean perspective

  • Acharya, Nirmal Kumar;Im, Hae-Man;Lee, Young-Dai
    • 한국건설관리학회논문집
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    • 제7권5호
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    • pp.177-190
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    • 2006
  • Construction projects are facing delay problems. Delays in construction have been immense effect on performance or satisfactory delivery of the project. Delays have been causing project cost overrun as well as it is a source of dispute hence damaging the relationship between the project participants. The purpose of this study was to explore the causes of delay risk through a field survey study. Data were collected from construction professionals working in owner, consultant and contractor organizations. All together 208 questionnaire instruments were used and analyzed by employing statistical tools (SPSS computer program). 19 delay factors were identified by this study, out of which following factors were critical: Frequent interruptions from public (local people, pressure group etc.), changed site condition, failure to provide required construction site, unrealistic project time estimation and design errors.

건설공급사슬을 고려한 건설공사 자재관리시스템 개발 (Development of a Materials Management System Considering Construction Supply Chain Management)

  • 장명훈
    • 한국건축시공학회지
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    • 제9권5호
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    • pp.87-93
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    • 2009
  • 건설공급사슬은 시공사와 협력업체의 협력을 위해 많은 정보들이 원활하게 전달되고 공유되어야 하기 때문에 참여주체 간 정보공유 및 교류가 가능한 통합된 정보시스템의 구축이 필수적이다. 건설산업에서도 최근 제조 분야를 중심으로 부상하고 있는 기업 내 업무프로세스 개선, 참여주체 중심의 경영, 공급사슬을 하나의 시스템으로 관리하는 공급사슬관리 방식을 적용할 필요가 있다. 본 연구에서는 공급사슬의 중요한 부분을 차지하는 자재를 중심으로 공급사슬관리를 지원하는 시스템을 제안하였다. 건설공사는 공정관리를 중심으로 관리되므로 공급사슬관리도 공정관리과 연계하여 이루어져야 한다. 이를 위하여 공정관리 프로그램에서 자재를 관리하고 공급사슬과 관련된 참여주체가 쉽게 활용할 수 있는 방법을 제안하였다. 또한, 건설현장에서 건설공급사슬관리를 위해 지원시스템을 제안하고 프로토타입을 구현하였다. 프로토타입은 공정관리 프로그램인 Microsoft Project에서 VBA로 프로그래밍하였고, @Risk for Project를 이용하여 시뮬레이션하는 과정을 제시하였다.

Automated Prioritization of Construction Project Requirements using Machine Learning and Fuzzy Logic System

  • Hassan, Fahad ul;Le, Tuyen;Le, Chau;Shrestha, K. Joseph
    • 국제학술발표논문집
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    • The 9th International Conference on Construction Engineering and Project Management
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    • pp.304-311
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    • 2022
  • Construction inspection is a crucial stage that ensures that all contractual requirements of a construction project are verified. The construction inspection capabilities among state highway agencies have been greatly affected due to budget reduction. As a result, efficient inspection practices such as risk-based inspection are required to optimize the use of limited resources without compromising inspection quality. Automated prioritization of textual requirements according to their criticality would be extremely helpful since contractual requirements are typically presented in an unstructured natural language in voluminous text documents. The current study introduces a novel model for predicting the risk level of requirements using machine learning (ML) algorithms. The ML algorithms tested in this study included naïve Bayes, support vector machines, logistic regression, and random forest. The training data includes sequences of requirement texts which were labeled with risk levels (such as very low, low, medium, high, very high) using the fuzzy logic systems. The fuzzy model treats the three risk factors (severity, probability, detectability) as fuzzy input variables, and implements the fuzzy inference rules to determine the labels of requirements. The performance of the model was examined on labeled dataset created by fuzzy inference rules and three different membership functions. The developed requirement risk prediction model yielded a precision, recall, and f-score of 78.18%, 77.75%, and 75.82%, respectively. The proposed model is expected to provide construction inspectors with a means for the automated prioritization of voluminous requirements by their importance, thus help to maximize the effectiveness of inspection activities under resource constraints.

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