Dynamic Cost Projection: Enhancing BIM-Integrated Estimation and Budgeting in Construction Projects

Year : 2024 | Volume :14 | Issue : 02 | Page : 1-10
By

Yamini N. Deshvena,

Raju R. Kulkarni,

  1. Civil Engineering Department, Shri Shivaji Institute of Engineering & Management Studies, M.S. India
  2. 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(jocetm)]

How to cite this article: 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.
How to cite this URL: 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



References

1. Eastman C, Teicholz P, Sacks R, Liston K. BIM handbook: A guide to building information modeling for owners, managers, designers, engineers, and contractors. 3rd ed. Hoboken (NJ): John Wiley & Sons; 2018.
2. Gu N, London K. Understanding and facilitating BIM adoption in the AEC industry. Autom Constr. 2010 Dec;19(8):988-999.
3. Kam CV, Anumba CJ, Carrillo PM. BIM-led construction cost estimation: Evaluating the potential for innovation. J Inf Technol Constr. 2013;18:201-219.
4. Rujana I, Ibrahim F, Razak M. Building information modelling (BIM) towards building performance: A cost perspective. Procedia-Soc Behav Sci. 2016 Nov 2;234:145-154.
5. The Associated General Contractors of America (AGC). BIM and Cost Estimating. Arlington (VA): AGC; 2020.
6. Bryde D, Broquetas M, Volm JM. The project benefits of Building Information Modelling (BIM). Int J Proj Manag. 2013 Jul;31(7):971-980.
7. Azhar S. Building Information Modeling (BIM): Trends, benefits, risks, and challenges for the AEC industry. Leadership Manage Eng. 2011 Apr;11(3):241-252.
8. Khosrowshahi F, Arayici Y. Roadmap for implementation of BIM in the UK construction industry. Eng Constr Archit Manag. 2012;19(6):610-635.
9. Volk R, Stengel J, Schultmann F. Building Information Modeling (BIM) for existing buildings—Literature review and future needs. Autom Constr. 2014 Jan;38:109-127.
10. Becerik-Gerber B, Jazizadeh F, Li N, Calis G. Application areas and data requirements for BIM-enabled facilities management. J Constr Eng Manag. 2012 Mar;138(3):431-442.


Regular Issue Subscription Original Research
Volume 14
Issue 02
Received June 19, 2024
Accepted July 10, 2024
Published July 11, 2024

Check Our other Platform for Workshops in the field of AI, Biotechnology & Nanotechnology.
Check Out Platform for Webinars in the field of AI, Biotech. & Nanotech.