Technical Papers
Apr 24, 2024

Impact of Using a Formalized Methodology for Conflict Detection Based on 4D-BIM

Publication: Journal of Construction Engineering and Management
Volume 150, Issue 7

Abstract

In construction projects, when resources assigned to two or more simultaneous activities share the same workspace, they generate time-space conflicts associated with congestion, safety, and quality issues. The use of building information modeling (BIM) methodologies, particularly four-dimensional (4D) models, offers the possibility to facilitate the identification of these types of conflicts. Existing literature has proposed formal methods for conflict detection; however, these largely focus on automating computational analyses without providing a practical and useful procedure for planners. Moreover, previous research has not evaluated the impact of using formal conflict detection methodologies. To address these gaps, this study proposes and evaluates the use of a formal conflict detection methodology in workspaces based on 4D-BIM. The research methodology includes a first stage that develops and validates the formalized conflict detection methodology through a literature review and interviews with field professionals. The second stage quantifies the impact of using the proposed methodology through an experiment that compares the effectiveness and efficiency of a group of planners in detecting conflicts using 4D-BIM models with and without the proposed methodology. The results demonstrate that the formalized methodology enhances the planning process by increasing the detection of conflicts from 18% to 82%. Additionally, the formalized methodology reduces review time by 23% and enhances user experience. These findings contribute to improving the planning process by managing and reducing time-space conflicts in construction schedules. Consequently, the construction process will become more efficient by averting issues related to productivity, safety, and quality based on the identification of workspace conflicts. Last, the proposed methodology contributes to a better adoption of BIM by providing a structured procedure for using the 4D-BIM model to support planning processes.

Practical Applications

This study lays the groundwork for companies aiming to enhance their conflict detection processes and refine planning and conflict management procedures. The practical contributions include achieving greater effectiveness and efficiency in identifying conflicts in workspaces. The proposed formalized methodology enhances productivity, reduces safety-related risks, and prevents quality issues in building projects by managing and mitigating time-space conflicts in construction programs. Additionally, the research contributes to the enrichment of BIM application in construction activity planning. It formalizes the use of BIM through a conflict detection methodology, particularly in the analysis of construction programs and the identification of workspace conflicts. The results further strengthen the application of the BIM methodology by facilitating the design of BIM processes associated with planning, incorporating the methodology proposed in this research. Furthermore, the study encourages the adoption of BIM in construction activity planning by evaluating the positive impact of the proposed formalized methodology, providing evidence for its implementation in organizations and highlighting its potential benefits in terms of effectiveness and efficiency.

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Data Availability Statement

Some or all data, models, or code generated or used during the study are proprietary or confidential in nature and may only be provided with restrictions, including 4D-BIM models of case studies (anonymized name and owner of the projects).

References

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Go to Journal of Construction Engineering and Management
Journal of Construction Engineering and Management
Volume 150Issue 7July 2024

History

Received: Aug 21, 2023
Accepted: Jan 29, 2024
Published online: Apr 24, 2024
Published in print: Jul 1, 2024
Discussion open until: Sep 24, 2024

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Authors

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Martín Flores, Aff.M.ASCE [email protected]
Researcher, School of Civil Engineering, Pontificia Universidad Católica de Chile, Santiago de Chile 7820436, Chile (corresponding author). Email: [email protected]
Claudio Mourgues [email protected]
Associate Professor, School of Civil Engineering, Pontificia Universidad Católica de Chile, Santiago de Chile 7820436, Chile. Email: [email protected]

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