Quantifying Schedule Delay Risk in Construction Projects: A Data-Driven Approach with BIM and Probabilistic Reliability Analysis
Progress management is an important scheme of construction management. In practical affairs, many unknown factors may lead to potential project delays and make the schedule risky. To address this issue, this paper proposes a data-driven construction progress evaluation method that employs a probabil...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-01-01
|
| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/2023/5525655 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849403266254766080 |
|---|---|
| author | Shen Zhang Xingyu Wang |
| author_facet | Shen Zhang Xingyu Wang |
| author_sort | Shen Zhang |
| collection | DOAJ |
| description | Progress management is an important scheme of construction management. In practical affairs, many unknown factors may lead to potential project delays and make the schedule risky. To address this issue, this paper proposes a data-driven construction progress evaluation method that employs a probabilistic reliability analysis with BIM to effectively quantify the risk of schedule delay. By identifying critical tasks and probable failure conditions in uncertain environments, this method enables project managers to take proactive measures to keep their projects on schedule. Through our case study, we have demonstrated that the proposed method is highly effective in dynamically evaluating the project progress with both accuracy and efficiency. Besides, this system offers a more efficient way for managers to gather information, evaluate progress, and identify critical tasks, and provides project managers with a data-driven understanding of the risks and uncertainties related to project schedules, enabling them to take proactive measures to minimize the potential delays and ensure successful project delivery. |
| format | Article |
| id | doaj-art-900ae41c32fc40b29e7278aedfcddf7f |
| institution | Kabale University |
| issn | 1687-8094 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Civil Engineering |
| spelling | doaj-art-900ae41c32fc40b29e7278aedfcddf7f2025-08-20T03:37:19ZengWileyAdvances in Civil Engineering1687-80942023-01-01202310.1155/2023/5525655Quantifying Schedule Delay Risk in Construction Projects: A Data-Driven Approach with BIM and Probabilistic Reliability AnalysisShen Zhang0Xingyu Wang1Central-South Architectural Design Institute Co., Ltd.Central-South Architectural Design Institute Co., Ltd.Progress management is an important scheme of construction management. In practical affairs, many unknown factors may lead to potential project delays and make the schedule risky. To address this issue, this paper proposes a data-driven construction progress evaluation method that employs a probabilistic reliability analysis with BIM to effectively quantify the risk of schedule delay. By identifying critical tasks and probable failure conditions in uncertain environments, this method enables project managers to take proactive measures to keep their projects on schedule. Through our case study, we have demonstrated that the proposed method is highly effective in dynamically evaluating the project progress with both accuracy and efficiency. Besides, this system offers a more efficient way for managers to gather information, evaluate progress, and identify critical tasks, and provides project managers with a data-driven understanding of the risks and uncertainties related to project schedules, enabling them to take proactive measures to minimize the potential delays and ensure successful project delivery.http://dx.doi.org/10.1155/2023/5525655 |
| spellingShingle | Shen Zhang Xingyu Wang Quantifying Schedule Delay Risk in Construction Projects: A Data-Driven Approach with BIM and Probabilistic Reliability Analysis Advances in Civil Engineering |
| title | Quantifying Schedule Delay Risk in Construction Projects: A Data-Driven Approach with BIM and Probabilistic Reliability Analysis |
| title_full | Quantifying Schedule Delay Risk in Construction Projects: A Data-Driven Approach with BIM and Probabilistic Reliability Analysis |
| title_fullStr | Quantifying Schedule Delay Risk in Construction Projects: A Data-Driven Approach with BIM and Probabilistic Reliability Analysis |
| title_full_unstemmed | Quantifying Schedule Delay Risk in Construction Projects: A Data-Driven Approach with BIM and Probabilistic Reliability Analysis |
| title_short | Quantifying Schedule Delay Risk in Construction Projects: A Data-Driven Approach with BIM and Probabilistic Reliability Analysis |
| title_sort | quantifying schedule delay risk in construction projects a data driven approach with bim and probabilistic reliability analysis |
| url | http://dx.doi.org/10.1155/2023/5525655 |
| work_keys_str_mv | AT shenzhang quantifyingscheduledelayriskinconstructionprojectsadatadrivenapproachwithbimandprobabilisticreliabilityanalysis AT xingyuwang quantifyingscheduledelayriskinconstructionprojectsadatadrivenapproachwithbimandprobabilisticreliabilityanalysis |