scholarly journals Building Information Modeling (BIM) for Safety Risk Identification in Construction Projects

2019 ◽  
Author(s):  
Fotios C. Tsoukalis ◽  
Athanasios P. Chassiakos
Keyword(s):  
Construction Projects ◽  
Building Information Modeling ◽  
Risk Identification ◽  
Information Modeling ◽  
Safety Risk ◽  
Building Information

scholarly journals Challenges of the expansive use of Building Information Modeling (BIM) in construction projects

Production ◽  
2015 ◽  
Vol 25 (2) ◽  
pp. 289-297 ◽  
Author(s):  
Hannele Kerosuo ◽  
Reijo Miettinen ◽  
Sami Paavola ◽  
Tarja Mäki ◽  
Jenni Korpela
Keyword(s):  
Construction Projects ◽  
Building Information Modeling ◽  
Information Modeling ◽  
Building Information

scholarly journals Expanding uses of building information modeling in life-cycle construction projects

Work ◽  
2012 ◽  
Vol 41 ◽  
pp. 114-119 ◽  
Author(s):  
Kerosuo Hannele ◽  
Miettinen Reijo ◽  
Mäki Tarja ◽  
Paavola Sami ◽  
Korpela Jenni ◽  
...  
Keyword(s):  
Life Cycle ◽  
Construction Projects ◽  
Building Information Modeling ◽  
Information Modeling ◽  
Building Information

scholarly journals Lean Applications in Construction

2019 ◽  
Vol 5 (2) ◽  
pp. 29-37
Author(s):  
Mohammad Darabseh
Keyword(s):  
Case Studies ◽  
Construction Industry ◽  
Lean Manufacturing ◽  
Construction Projects ◽  
Lower Cost ◽  
Building Information Modeling ◽  
Lean Construction ◽  
Information Modeling ◽  
Building Information

Lean Construction is one of the methods used to improve control over construction projects by eliminating waste in time and materials. Lean Construction is an adaptation from the Lean Manufacturing principles to the construction industry. The purpose of this article was to review the case studies published in 2018 in the Inspec database to find out where Lean is being implemented and how. The article approach by setting the search criteria first and then inspect the result to find the non-related results and eliminate it. After that, the article was reviewed and summarized. The article verifies each article finding; however Lean Construction and Building Information Modeling (BIM) are relatively new for the construction industry and they still need more time to be adopted widely and to be applied on a lower-cost budget. However, the discussed cases show a promising future for these technologies.

scholarly journals Challenges and Barriers of Building Information Modeling Adoption in the Saudi Arabian Construction Industry

2020 ◽  
Vol 14 (1) ◽  
pp. 98-110
Author(s):  
Mohammed A. Al-Hammadi ◽  
Wei Tian
Keyword(s):  
Saudi Arabia ◽  
Construction Industry ◽  
Construction Projects ◽  
Building Information Modeling ◽  
Saudi Arabian ◽  
Information Modeling ◽  
Relative Importance ◽  
Kingdom Of Saudi Arabia ◽  
Current State ◽  
Building Information

Background: The Building Information Modeling (BIM) revolution can provide a solution for problems in the Saudi Arabian construction industry and improve its outcomes. Though this technology is increasingly and rapidly adopted in advanced countries, developing countries such as Saudi Arabia and the Gulf Cooperation Council countries (GCC) are still in the early stages of BIM adoption. Objective: This study investigates the current state of BIM technology adoption by exploring and analyzing the critical challenges and barriers to BIM technology utilization in the construction sectors. Methods: The quantitative approach is adopted via a survey questionnaire distributed to participants in the field of construction projects in the Architecture, Engineering, and Construction (AEC) industry. A total of 228 questionnaires are collected and analyzed using the statistical packaging for social science software. Results: Findings show that several significant barriers negatively affect the utilization of BIM. The major barriers to BIM adoption are related to the lack of demand, lack of experts, and poor awareness of BIM benefits, which have relative importance indexes of (RII = 89.910), (RII = 88.475), and (RII = 87.130), respectively. Meanwhile, unspecified data responsibilities, difficulty of learning BIM, lack of data sharing, and sufficient current technology constitute the lowest-ranking barriers with their relative importance indexes of (RII = 71.704), (RII = 70.807), (RII = 66.413), and (RII = 65.874), respectively. Conclusion: The findings of this study are highly significant and can become more helpful and interesting if further research can measure the methodologies to implement BIM technology in the Kingdom of Saudi Arabia.

Minimizing Construction Emissions Using Building Information Modeling and Decision-Making Techniques

2017 ◽  
Vol 6 (2) ◽  
pp. 14-35 ◽  
Author(s):  
Mohamed Marzouk ◽  
Eslam Mohammed Abdelkader
Keyword(s):  
Decision Making ◽  
Life Cycle Cost ◽  
Construction Projects ◽  
Building Information Modeling ◽  
Primary Energy ◽  
Information Modeling ◽  
Waste Products ◽  
Building Information ◽  
Academic Buildings ◽  
Project Life

The construction industry is regarded as a major contributor to environmental emissions, due to extensive usage of resources and the waste products produced. This article presents a building information modeling (BIM)-based model that is capable of measuring six types of emissions for different activities of construction projects. The paper investigates eight multi-criteria decision-making (MCDM) techniques for ranking alternatives based on project time; project life cycle cost; project environmental impact; and primary energy consumed by different activities. Three group decision- making techniques are performed to provide consensus and final ranking of alternatives. The Monte Carlo simulation is implemented in order to account for the discrepancy in the calculation of greenhouse gases produced from buildings. Also, a case study of academic buildings is introduced in order to demonstrate the practical features of the proposed model.

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