scholarly journals Building Information Modelling Technology in Mitigating Cost Overruns and change orders in Construction Projects

2021 ◽  
Vol 4 (1) ◽  
pp. 50-64
Author(s):  
Ja’far A. Aldiabat Al-Btoosh
Keyword(s):  
Construction Industry ◽  
Cost Estimation ◽  
Construction Projects ◽  
Information Modeling ◽  
Cost Overruns ◽  
Change Orders ◽  
Significant Difference ◽  
Project Costs ◽  
Building Information ◽  
And Control

Variation order (VO) is one of the main issues faced by the construction industry in Jordan. Many researchers had investigated on the causes of VO and proposed procedures to minimize and control this issue; however, the VO is affecting the construction industry badly even at moment. Building Information Modeling (BIM) is a powerful management system that can make a significant difference in the project costs. However, BIM has not been examined as a tool to minimize the VO in Jordan. The main target of this study is to utilize BIM applications in reducing the effect of VO on the governmental projects in Jordan. In order to achieve this target, the researcher has designed a questionnaire to gather data related to VO causes and the BIM capability to solve this problem. The data collected from the questionnaires were analyzed statistically. The result from the analysis found that the consultant initiated the highest VO of 50% followed by the clients and the contractors of 20% and 10% unforeseen variation respectively. Moreover, it is found that BIM Design Applications, Facility Operations Simulation, Exploration Design Scenarios, BIM Design Detection and BIM Quantity Take-off and Cost Estimation were significantly capable of minimizing VO. The results show positive relationship with the application of BIM in minimizing VO in the construction industry in Jordan. © 2018. JASET, International Scholars and Researchers Association

BUILDING INFORMATION MODELING (BIM) ROLES IN THE MALAYSIAN CONSTRUCTION INDUSTRY

2014 ◽  
Vol 1 (1) ◽  
Author(s):  
Aryani Ahmad Latiffi ◽  
Suzila Mohd ◽  
Juliana Brahim
Keyword(s):  
Construction Industry ◽  
Cost Estimation ◽  
Construction Projects ◽  
Building Information Modeling ◽  
Facility Management ◽  
Information Modeling ◽  
Structured Interviews ◽  
New Paradigm ◽  
Building Information ◽  
Potential Improvement

Building Information Modeling (BIM) represents a new paradigm in the Malaysian architecture, engineering, and construction (AEC) industry. BIM technology provides virtual models (including 3-D models) to generate a building’s entire lifecycle. The model can also be used for analyzing design clashes, project scheduling, cost estimation, and facility management. The use of BIM in construction projects can reduce time to develop a project, reduce construction cost, and increase project quality. This paper aims to explore roles of BIM in the Malaysian construction industry. Semi-structured interviews were conducted with project consultants and BIM consultants involved in two government projects. The projects were the National Cancer Institute (NCI) Malaysia and Sultan Ibrahim Hall (formerly known as the Multipurpose Hall of Universiti Tun Hussein Onn Malaysia, or UTHM). The interviews revealed effects of BIM in both projects and potential improvement in implementing BIM in construction projects in Malaysia. A literature review and the interviews revealed that BIM is increasingly used and accepted by construction players in Malaysia, and is expected to grow in future.

scholarly journals Time and Resource Management of Residential Apartment Construction using Building Information Modeling

2019 ◽  
Vol 8 (10) ◽  
pp. 4238-4246
Keyword(s):  
Resource Management ◽  
Cost Estimation ◽  
Construction Projects ◽  
Building Information Modeling ◽  
Early Stage ◽  
Building Design ◽  
Information Modeling ◽  
Cost Overruns ◽  
Building Information

To complete a project under the complicated situations, it is important to follow effective ways to use available tools and methods, taking into account present technology and management. Also, it is challenging to prepare accurate and achievable plans in large construction projects. Visualizing forms at an early stage in building design improves the ability of designers to deliver ideas and the capability to inspect and assess the methods helps to predict and optimize the actual presentation of the construction project. These different features form the basis for Building Information Modeling (BIM). The archetypal problems like budget overflow, lack of communication, cost overruns, overtime delays, rework can be minimized with the use of Building Information Modeling (BIM) tools for building design & resource management. In this paper, the concept of Building Information Modelling (BIM) is used for 3D modeling, which involves 4th dimension as Time (4D), 5th dimension of Cost (5D) of the project. A case study of G+5 residential apartment is presented for 3D BIM modeling and quantity take-off with the commercial software Autodesk Revit 2019. The 4D BIM carried out using Primavera P6 is explained with methodology for a case study. Further, Autodesk Navisworks Manage 2019 is used for 5D BIM, which includes a graphical presentation of the construction schedule and cost estimation of the case study.

Applications of Building Information Modeling in Cost Estimation of Infrastructure Bridges

2012 ◽  
Vol 1 (2) ◽  
pp. 17-29 ◽  
Author(s):  
Mohamed Marzouk ◽  
Mohamed Hisham
Keyword(s):  
Construction Industry ◽  
Cash Flow ◽  
Cost Estimation ◽  
Building Information Modeling ◽  
Cost Estimate ◽  
Information Modeling ◽  
Bridge Engineering ◽  
C Language ◽  
Building Information ◽  
Bridge Information Modeling

Bridge Information Modeling (BrIM) is considered an innovation in bridge engineering and construction industry. This paper presents a methodology for using BrIM as an assisting tool in performing detailed cost estimates. The methodology depends on integrating visualization feature of BrIM with specific attributes of the BrIM model intelligent components. A program developed using C# language is used to extract the visualization conclusions and other components’ attributes to MS Excel spreadsheet. This sheet assists in performing detailed cost estimate, and reviewing the estimate. The paper also presents a methodology for generating cash flow and required payments. This methodology depends on integrating the developed program with 4D feature of BrIM.

scholarly journals Development of the structure and composition of a building information classifier towards the application of BIM technologies

Vestnik MGSU ◽  
2020 ◽  
pp. 867-906 ◽  
Author(s):  
Vladimir A. Volkodav ◽  
Ivan A. Volkodav
Keyword(s):  
Construction Industry ◽  
Construction Projects ◽  
Life Cycles ◽  
Classification Systems ◽  
Information Modeling ◽  
Information Classification ◽  
Technical Requirements ◽  
Information Models ◽  
Building Information ◽  
The One

Abstract Introduction. Various building information classification systems are used internationally; their critical analysis makes it possible to highlight basic requirements applicable to the Russian classifier and substantiate its structure and composition. Materials and methods. Modern international building information classification systems, such as OmniClass (USA), Uniclass 2015 (UK), CCS (Denmark), and CoClass (Sweden), are considered in the article. Their structure, composition, methodological fundamentals are analyzed. In addition to international classification systems, Russian construction information classifiers are analyzed. Results. The structure of a building information classifier has been developed and tailored to the needs of BIM (building information modeling) and national regulatory and technical requirements. The classifier’s structure complies with the one recommended by ISO 12006-2:2015. Its composition has regard to the requirements that apply to the aggregation and unification of Russian classifiers, and it also benefits from the classifiers developed for and used by the construction industry. The proposed building information classifier has four basic categories and 21 basic classes. Conclusions. The proposed structure and composition of a building information classifier represent a unified and universal tool for communicating building information or presenting it in the standardized format in the consolidated information space designated for information models needed to manage life cycles of major construction projects.

scholarly journals Building Information Modelling (BIM) in Managing Construction Claims: Now and Beyond – A Review (Jordan Perspective)

2020 ◽  
Vol 9 (7) ◽  
pp. 1099-1115
Keyword(s):  
Construction Industry ◽  
Construction Projects ◽  
Management Practices ◽  
Negative Impact ◽  
Cost Savings ◽  
Cycle Phase ◽  
Change Orders ◽  
Construction Claims ◽  
Building Information ◽  
Life Cycle Phase

As the intricacy of construction projects is amassed, prospects for tribulations are mounting, depicting negative impact on projects’ cost, time and excellence. Thus, eliciting claims that aredisruptive to projects, time consuming and exorbitant. BIM holds enormousprobable in prosperous claim management practices. The progression of BIM can enrich knowledge sharing for information of a building or facility. It forms a vitalbase for decision making throughout the life cycle phase from the conceptual design to demolition. BIM is also, a valuable multidisciplinary cohesive source of information technology that posts benefits and disputes in the construction industry. The main aspiration of this paper is to appraise how and to what magnitude BIM can help evading and plummeting claims in Jordan construction industry.The paper ran a literature review on recent research, industry reports, and other sources to seehow they identified claims, its classifications, benefits, impacts and challenges of BIM on construction projects.Also, the paper acknowledgedcontemporaneous challenges in the claims field and the construction industry as whole. The attained outcomes have shown that BIM overtakes traditional claim management practices in many aspects including recognizing and investigating claims, where the benefits are comprehended in time and cost savings, less change orders, less rework. Moreover, the information and knowledge management that BIM postulates can improve many aspects of claim management.

BENEFITS OF BIM IN CONSTRUCTION PROJECTS

2015 ◽  
Vol 2 (1) ◽  
Author(s):  
Vanissorn Vimonsatit ◽  
Alex Chai Mui Foo
Keyword(s):  
Content Analysis ◽  
Construction Industry ◽  
Construction Projects ◽  
Weather Condition ◽  
Secondary Data ◽  
Contributing Factors ◽  
Building Information Modelling ◽  
Cost Overruns ◽  
Building Information ◽  
Survey Results

This paper presents findings of an investigation into benefits of using Building Information Modelling (BIM) in construction projects. The research methodology includes a review of BIM development and achievement in construction industry, questionnaire survey, interview, and content analysis of secondary data. Data was collected and analyzed to identify the various benefits reflected from BIM implementation in addressing common problems experienced by the construction industry. The review and survey results indicate that a high frequency of occurrence of time and cost overruns occur in construction projects. Contributing factors were mainly rework, poor planning, documents delivery and approval, constructability issues, resources and weather condition. While some of the factors were unpreventable, BIM could be used as a tool to eliminate problems causing time and cost overruns. Various project benefits have been reflected through the content analysis of project case studies. It was found that time was the most positively influenced by the use of BIM followed by coordination, procurement, communication, cost and change of scope of the project, and lastly, risk.

Investigation of the Impact of BIM&IPD on Change Orders Using Bayesian Network Method

2013 ◽  
Vol 397-400 ◽  
pp. 2064-2068 ◽  
Author(s):  
Mei Liu
Keyword(s):  
Bayesian Network ◽  
Construction Projects ◽  
Negative Impact ◽  
Information Modeling ◽  
Professional Relationships ◽  
Good Tool ◽  
Change Orders ◽  
Network Method ◽  
Building Information ◽  
The Impact

Change orders present one of the largest sources of cost growth on building construction projects and have negative impact on productivity, labor efficiency and building environment. Building Information Modeling (BIM) is proved a high technology that greatly benefits both design and construction, greatly promoting the design visualization and construction 4-D modeling. Driven by BIM, Integrated Project Delivery (IPD) emphasizes communication in the collaborative process by avoiding adversarial or counter-productive professional relationships to reduce waste and rework. If BIM&IPD can be properly applied in project, quite a lot change orders can be avoided and then project cost will be reduced. This paper investigates the impact of BIM&IPD on construction change orders using Bayesian Network method. Bayesian Network is a graphic model representing cause and effect relationship between change orders and BIM&IPD. In this paper, evidence reasoning and probabilistic inference analyses are conducted to indicate the causes in light of the results and forecast the results according to causes. From the analysis, Bayesian Network is proved a good tool for construction managers to make decisions.

scholarly journals CONSTRUCTABILITY IN INDUSTRIAL PLANTS CONSTRUCTION: A BIM-LEAN APPROACH USING THE DIGITAL OBEYA ROOM FRAMEWORK

2017 ◽  
Vol 23 (8) ◽  
pp. 1100-1108 ◽  
Author(s):  
Daniel Luiz de Mattos NASCIMENTO ◽  
Elisa Dominguez SOTELINO ◽  
Thiago Pires Santoloni LARA ◽  
Rodrigo Goyannes Gusmão CAIADO ◽  
Paulo IVSON
Keyword(s):  
Construction Projects ◽  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Information Modeling ◽  
Lean Thinking ◽  
Gas Industry ◽  
Common Solution ◽  
Planning And Control ◽  
Building Information ◽  
And Control

One of the main problems the construction industry faces is the high cost and slow execution time due to inadequate planning, which results in poor use of human resources. A common solution for reducing time and costs is the adoption of prefabricated components (prefabs). This paper proposes a novel methodology for interdisciplinary man­agement of construction projects by integrating Building Information Modeling (BIM) and Lean Thinking to improve the production planning and control of pipe-rack modules in an industrial facility. The article first presents a literature review to assess the key synergies between BIM and Lean Thinking. These led to the development of a new integrated work methodology named Digital Obeya Room. This model focuses on the required workflows, the analysis of collected data, and the visual management of construction planning and control. A real-world empirical study in the Oil and Gas industry evaluated how the newly devised practices could improve prefabrication and preassembly planning. The pro­posed methodology was capable of reducing the welding-time in 8.7% related on global prefabrication average in con­struction projects from Fails Management Institute (FMI) prefabrication report survey 2017.

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.

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