Fuzzy Consensus Qualitative Risk Analysis Framework for Building Construction Projects

2013 ◽  
Author(s):  
Ahmed M. Aboushady ◽  
Mohamed M. Marzouk ◽  
Mohamed M. G. Elbarkouky
Keyword(s):  
Risk Analysis ◽  
Construction Projects ◽  
Building Construction ◽  
Analysis Framework ◽  
Qualitative Risk Analysis

scholarly journals Delays in the Road Construction Projects from Risk Management Perspective

2021 ◽  
Vol 6 (9) ◽  
pp. 135
Author(s):  
Reza Mohajeri Borje Ghaleh ◽  
Towhid Pourrostam ◽  
Naser Mansour Sharifloo ◽  
Javad Majrouhi Sardroud ◽  
Ebrahim Safa
Keyword(s):  
Risk Management ◽  
Risk Analysis ◽  
Construction Projects ◽  
Road Construction ◽  
Structured Interviews ◽  
Technical Problems ◽  
The Road ◽  
Management Perspective ◽  
Hierarchy Process ◽  
Qualitative Risk Analysis

Delays in the execution stage of road construction projects are one of the significant challenges. The incapability of finishing projects according to schedule has attracted many researchers’ attention to this issue. This study has been formed to investigate delays in road construction projects from a risk management perspective. In this study, risks have been identified by structured interviews with experts. Qualitative risk analysis by a survey of experts and quantitative risk analysis by analytical hierarchy process (AHP) technique have been performed. Research results show that financial and credit problems, lands’ funding, management problems, technical problems, and natural disasters have the highest risk among the main criteria. Among the subcriteria of the risk, incomplete funding with a weight of 0.188, gardens and land price with 0.114 are the most critical risk, and ground operations with 0.017, asphalt problems with 0.009, and accident insurance with a weight of 0.006 are the least essential risk. In the following, critical criteria analysis has been performed, and solutions to reduce or eliminate these delays in road construction projects are presented.

Developing a novel cash flow risk analysis framework for construction projects based on 5D BIM

2021 ◽  
pp. 103341
Author(s):  
Alireza Amin Ranjbar ◽  
Ramin Ansari ◽  
Roohollah Taherkhani ◽  
M. Reza Hosseini
Keyword(s):  
Risk Analysis ◽  
Cash Flow ◽  
Construction Projects ◽  
Analysis Framework ◽  
Cash Flow Risk

scholarly journals Qualitative risk analysis framework for office developments

2010 ◽  
Vol 8 (2) ◽  
pp. 32
Author(s):  
Nisa Zainudeen ◽  
Jeyarajah Jeyamathan
Keyword(s):  
Risk Analysis ◽  
Analysis Framework ◽  
Qualitative Risk Analysis

BIM Technologies In Building Construction Projects Management In Russia

2019 ◽  
pp. 48-59
Keyword(s):  
Project Management ◽  
Economic Efficiency ◽  
Technology Implementation ◽  
Management System ◽  
Construction Projects ◽  
Technology Development ◽  
Integrated Management ◽  
Building Construction ◽  
Information Modeling ◽  
Project Management System

The international experience of integrating building information modeling (BIM) into project management system with innovation implementation accent has been revealed in this article. The events carried out on federal and regional levels concerning the President of Russia directive on building construction industry modernization and construction objects transferring to life cycle management by means of BIM were analyzed. The large company experience of implementing BIM was summarized with describing some examples in different cities and regions of our country and thus the main directions of this technology development were determined. The key points of BIM and project management system pairing and impacting an innovation choice witch determine the project economic efficiency in the integrated management system were shown. The main reports of "Building construction projects technology and management: new practices and prospects" conference by Moscow Trade and Commerce Chamber were reviewed in this direction and problems of the new investment and construction project management technology implementation were shown. The ways to solve these problems were disclosed by work examples of PAO "Sberbank", and successfully working in our country firms Bilfinger Tebodin - BIM design and Beiten Burkhard -jurisdiction support. Some economic efficiency questions of BIM implementation were disclosed in the report delivered by The Plekhanov University of Economics (project and program management base department of Capital Group). Management system suggestions, regarding BIM implementation in Moscow construction were given.

Selection of mobile cranes for building construction projects

1999 ◽  
Vol 17 (4) ◽  
pp. 519-527 ◽  
Author(s):  
AVIAD SHAPIRA ◽  
CLIFFORD J. SCHEXNAYDER
Keyword(s):  
Construction Projects ◽  
Building Construction ◽  
Selection Of

scholarly journals Research for Risk Management of Construction Projects in Taiwan

2021 ◽  
Vol 13 (4) ◽  
pp. 2034
Author(s):  
Chien-Liang Lin ◽  
Bey-Kun Chen
Keyword(s):  
Risk Management ◽  
Risk Analysis ◽  
Structural Equation ◽  
Construction Projects ◽  
Construction Project ◽  
Equation Modeling ◽  
Analysis Model ◽  
Sustainable Operation ◽  
Management Procedure ◽  
Risk Managers

Risks inevitably exist in all stages of a project. In a construction project, which is highly dynamic and complex, risk factors affect the expected achievement rates of the three main performance goals, namely schedule, cost, and quality. A comprehensive risk management procedure requires three crucial steps: risk confirmation, analysis, and treatment. Risk analysis is the core of risk management. Through structural equation modeling, this study developed a risk analysis model that takes a different perspective and considered the occurrence probability of risk events and the extent to which these events affect a project. The contractor dimension was discovered to exert the strongest influence on an overall project, followed by the subcontractor and design dimensions. This paper proposes a novel construction project risk analysis model, which considers the entire project. The proposed model can be used as a reference for risk managers to make decisions about project risks, so as to achieve the ultimate goal of saving resources and the sustainable operation of the construction project.

Productivity monitoring in building construction projects: a systematic review

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Wesam Salah Alaloul ◽  
Khalid M. Alzubi ◽  
Ahmad B. Malkawi ◽  
Marsail Al Salaheen ◽  
Muhammad Ali Musarat
Keyword(s):  
Systematic Review ◽  
Construction Projects ◽  
Small Sample ◽  
Machine Learning Algorithms ◽  
Building Construction ◽  
Content Type ◽  
Construction Productivity ◽  
Automated Monitoring ◽  
Monitoring Tools ◽  
Meta Analyses

PurposeThe unique nature of the construction sector makes it fall behind other sectors in terms of productivity. Monitoring construction productivity is crucial for the construction project's success. Current practices for construction productivity monitoring are time-consuming, manned and error prone. Although previous studies have been implemented toward reducing these limitations, a gap still exists in the automated monitoring of construction productivity.Design/methodology/approachThis study aims to investigate and assess the different techniques used for monitoring productivity in building construction projects. Therefore, a mixed review methodology (bibliometric analysis and systematic review) was adopted. All the related publications were collected from different databases, which were further screened to get the most relevant based on the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) criteria.FindingsA detailed review was performed, and it was found that traditional methods, computer vision-based and photogrammetry are the most adopted data acquisition for productivity monitoring of building projects, respectively. Machine learning algorithms (ANN, SVM) and BIM were integrated with monitoring tools and technologies to enhance the automated monitoring performance in construction productivity. Also, it was observed that current studies did not cover all the complex construction job sites and they were applied based on a small sample of construction workers and machines separately.Originality/valueThis review paper contributes to the literature on construction management by providing insight into different productivity monitoring techniques.

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