Yamini N. Deshvena,
Raju R. Kulkarni,
- , Civil Engineering Department, Shri Shivaji Institute of Engineering & Management Studies, M.S. India, ,
- Assistant professor, Civil Engineering Department, Shri Shivaji Institute of Engineering & Management Studies, M.S. India, ,
Abstract
In the realm of construction project management, the integration of Building Information Modeling (BIM) with dynamic cost projection tools represents a pivotal advancement. This paper explores the synergy between BIM and cost estimation, emphasizing their collective potential to revolutionize project budgeting. By harnessing real-time data and predictive analytics, BIM facilitates accurate and proactive cost projections throughout the project lifecycle. This integration not only enhances cost estimation precision but also fosters informed decision-making, resource optimization, and risk mitigation. Through case studies and industry examples, this study illuminates the transformative impact of BIM-integrated dynamic cost projection on construction project management. Ultimately, it underscores the imperative for stakeholders to adopt these technologies to achieve enhanced efficiency, cost control, and project success.
Keywords: Building Information Modeling (BIM), dynamic cost projection, construction project management, cost estimation, predictive analytics
[This article belongs to Journal of Construction Engineering, Technology & Management ]
Yamini N. Deshvena, Raju R. Kulkarni. Dynamic Cost Projection: Enhancing BIM-Integrated Estimation and Budgeting in Construction Projects. Journal of Construction Engineering, Technology & Management. 2024; 14(02):1-10.
Yamini N. Deshvena, Raju R. Kulkarni. Dynamic Cost Projection: Enhancing BIM-Integrated Estimation and Budgeting in Construction Projects. Journal of Construction Engineering, Technology & Management. 2024; 14(02):1-10. Available from: https://journals.stmjournals.com/jocetm/article=2024/view=161501
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Journal of Construction Engineering, Technology & Management
| Volume | 14 |
| Issue | 02 |
| Received | 19/06/2024 |
| Accepted | 10/07/2024 |
| Published | 11/07/2024 |
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