Application of Building Information Modelling (BIM) for Cost and Time Optimization in Housing Projects: A Case Study Based on the Indian Construction Scenario

Authors

  • Mohammed Adhil P P Gnanamani College of Technology, Namakkal, Tamil Nadu, India Author

DOI:

https://doi.org/10.15662/IJEETR.2026.0802230

Keywords:

BIM, Housing Projects, Cost Optimization, Time Optimization, Construction Management, India

Abstract

The construction industry in India faces significant challenges related to cost overruns, project delays, and inefficient resource management, particularly in housing projects. Building Information Modelling (BIM) has emerged as a powerful digital tool that integrates design, planning, and construction processes to improve project efficiency. This study investigates the application of BIM for cost and time optimization in housing projects within the Indian scenario. The research evaluates BIM tools such as 3D modelling, 4D scheduling, and 5D cost estimation to reduce project delays and financial overruns. A residential housing project case study is analysed to compare traditional construction methods with BIM-based approaches. The results show that BIM can reduce project time by approximately 20% and cost by nearly 15% while improving coordination and reducing errors. The study concludes that BIM adoption in Indian housing projects can significantly enhance construction efficiency, reduce risks, and support sustainable development.

References

1. Abdalla, S. B., Rashid, M., Yahia, M. W., Mushtaha, E., Opoku, A., Sukkar, A., Maksoud, A., & Hamad, R. (2023). Comparative Analysis of Building Information Modeling (BIM) Patterns and Trends in the United Arab Emirates (UAE) with Developed Countries. Buildings, 13(3). https://doi.org/10.3390/buildings13030695

2. Almujibah, H. (2023). Assessment of Building Information Modeling (BIM) as a Time and Cost-Saving Construction Management Tool: Evidence from Two-Story Villas in Jeddah. Sustainability, 15(9). https://doi.org/10.3390/su15097354

3. Baik, A. (2025). Three Decades of Innovation: A Critical Bibliometric Analysis of BIM, HBIM, Digital Twins, and IoT in the AEC Industry (1993 – 2024).

4. Baracho, R. M. A., da Silva Santiago, L. G., e Silva, A. T. M. A., Vidigal, M. J. M., & Porto, M. F. (2025). Building information modeling (BIM) for planning and construction. Architecture, Structures and Construction, 5(1), 6. https://doi.org/10.1007/s44150-024-00119-x

5. Chen, X., Chang-Richards, A. Y., Pelosi, A., Jia, Y., Shen, X., Siddiqui, M. K., & Yang, N. (2022). Implementation of technologies in the construction industry: a systematic review. Engineering, Construction and Architectural Management, 29(8), 3181–3209. https://doi.org/10.1108/ECAM-02-2021-0172

6. Daoud, A. O., Oke, A. E., Singh, A. K., Famakin, I. O., Mahmoud, K., Aziz, A., & Olayemi, T. M. (2025). Exploring the building information modelling benefits for sustainable construction using PLS-SEM. 1–22.

7. Das, K., Khursheed, S., & Paul, V. K. (2025). The impact of BIM on project time and cost: insights from case studies. Discover Materials, 5(1), 25. https://doi.org/10.1007/s43939-025-00200-2

8. Htet, A., Liana, S. R., Aung, T., & Bhaumik, A. (2023). The Intersection of Facade Engineering and Building Information Modeling: Opportunities and Challenges. Journal of Technology Innovations and Energy, 2(3), 94–110. https://doi.org/10.56556/jtie.v2i3.643

9. Mahajan, G., & Narkhede, P. (2023). Intensifying Literature Review Research on The Use of BIM In the Indian Building Sector. 10(2), 908–924.

10. Mishra, A., Hasan, A., & Jha, K. N. (2024). A Holistic Evaluation of BIM Implementation Barriers in the Indian Construction Industry: Pre- and Post-Adoption Perspectives. International Journal of Construction Education and Research, 20(3), 358–380. https://doi.org/10.1080/15578771.2024.2320108

11. Nguyen, T. N., Transformation, D., & Management, P. (2025). BIM in Construction: Benefits, Challenges, and Development Trends. 160–165.

12. Pidgeon, A., & Dawood, N. (2021). BIM adoption issues in infrastructure construction projects: Analysis and solutions. Journal of Information Technology in Construction, 26(May), 263–285. https://doi.org/10.36680/j.itcon.2021.015

13. Prasad, K. V, & Malla, V. (2024). An Investigation on the Benefits, Challenges and Solutions for BIM Adoption in the Indian Construction Industry. In M. Nehdi, R. A. Rahman, R. P. Davis, J. Antony, P. E. Kavitha, & S. Jawahar Saud (Eds.), Proceedings of SECON’24 (pp. 815–824). Springer Nature Switzerland.

14. Sharma, P., & Gupta, S. (2016). Applicability of Building Information Modeling (BIM) in Indian Built Environment Sector. 1(3), 30–37. https://doi.org/10.11648/j.ajetm.20160103.12

15. C.Nagarajan and M.Madheswaran - ‘Stability Analysis of Series Parallel Resonant Converter with Fuzzy Logic Controller Using State Space Techniques’- Taylor &Francis, Electric Power Components and Systems, Vol.39 (8), pp.780-793, May 2011. DOI: 10.1080/15325008.2010.541746

16. C.Nagarajan and M.Madheswaran - ‘Experimental verification and stability state space analysis of CLL-T Series Parallel Resonant Converter’ - Journal of Electrical Engineering, Vol.63 (6), pp.365-372, Dec.2012. DOI: 10.2478/v10187-012-0054-2

17. C.Nagarajan and M.Madheswaran - ‘Performance Analysis of LCL-T Resonant Converter with Fuzzy/PID Using State Space Analysis’- Springer, Electrical Engineering, Vol.93 (3), pp.167-178, September 2011. DOI 10.1007/s00202-011-0203-9

18. S.Tamilselvi, R.Prakash, C.Nagarajan,“Solar System Integrated Smart Grid Utilizing Hybrid Coot-Genetic Algorithm Optimized ANN Controller” Iranian Journal Of Science And Technology-Transactions Of Electrical Engineering, DOI10.1007/s40998-025-00917-z,2025

19. S.Tamilselvi, R.Prakash, C.Nagarajan,“ Adaptive sliding mode control of multilevel grid-connected inverters using reinforcement learning for enhanced LVRT performance” Electric Power Systems Research 253 (2026) 112428, doi.org/10.1016/j.epsr.2025.112428

20. S.Thirunavukkarasu, C. Nagarajan, 2024, “Performance Investigation on OCF and SCF study in BLDC machine using FTANN Controller," Journal of Electrical Engineering And Technology, Volume 20, pages 2675–2688, (2025), doi.org/10.1007/s42835-024-02126-w

21. C. Nagarajan, M.Madheswaran and D.Ramasubramanian- ‘Development of DSP based Robust Control Method for General Resonant Converter Topologies using Transfer Function Model’- Acta Electrotechnica et Informatica Journal , Vol.13 (2), pp.18-31,April-June.2013, DOI: 10.2478/aeei-2013-0025.

22. C.Nagarajan and M.Madheswaran - ‘DSP Based Fuzzy Controller for Series Parallel Resonant converter’- Springer, Frontiers of Electrical and Electronic Engineering, Vol. 7(4), pp. 438-446, Dec.12. DOI 10.1007/s11460-012-0212-0.

23. C.Nagarajan and M.Madheswaran - ‘Experimental Study and steady state stability analysis of CLL-T Series Parallel Resonant Converter with Fuzzy controller using State Space Analysis’- Iranian Journal of Electrical & Electronic Engineering, Vol.8 (3), pp.259-267, September 2012.

24. C.Nagarajan and M.Madheswaran, “Analysis and Simulation of LCL Series Resonant Full Bridge Converter Using PWM Technique with Load Independent Operation” has been presented in ICTES’08, a IEEE / IET International Conference organized by M.G.R.University, Chennai.Vol.no.1, pp.190-195, Dec.2007

25. Suganthi Mullainathan, Ramesh Natarajan, “An SPSS and CNN modelling based quality assessment using ceramic materials and membrane filtration techniques”, Revista Materia (Rio J.) Vol. 30, 2025, DOI: https://doi.org/10.1590/1517-7076-RMAT-2024-0721

26. M Suganthi, N Ramesh, “Treatment of water using natural zeolite as membrane filter”, Journal of Environmental Protection and Ecology, Volume 23, Issue 2, pp: 520-530,2022

27. Sherif, M., Nassar, K., Hosny, O., Safar, S., & Abotaleb, I. (2022). Automated BIM-based structural design and cost optimization model for reinforced concrete buildings. Scientific Reports, 12(1), 21616. https://doi.org/10.1038/s41598-022-26146-6

28. Shriwas, A., & Pai, S. (2020). Time and Cost Planning of a Housing Construction Project Using Building Information Modelling. 01(02), 18–24.

29. The Infrastructure and Projects Authority. (2016). Government Construction Strategy (GCS) 2016-2020. March, 16. https://www.gov.uk/government/publications/government-construction-strategy-2016-2020

30. Yadav, R. R., & Magar, R. B. (2022). A CASE STUDY ON COST AND TIME OPTIMIZATION IN. 2, 13–19.

31. MATHEW, A. (2025). BEYOND THE BURNER: THE SYSTEMIC RISKS OF DISPOSABLE EMAIL ECOSYSTEMS.

32. Raj, A. M. A., Rajendran, S., & Vimal, G. S. A. G. (2024). Enhanced convolutional neural network enabled optimized diagnostic model for COVID-19 detection. Bulletin of Electrical Engineering and Informatics, 13(3), 1935-1942.

33. Kiran, A., Rubini, P., & Kumar, S. S. (2025). Comprehensive review of privacy, utility and fairness offered by synthetic data. IEEE Access.

34. Anand, L., & Syed Ibrahim, S. P. (2018). HANN: a hybrid model for liver syndrome classification by feature assortment optimization. Journal of Medical Systems, 42(11), 211.

35. Udayakumar, R., Yogesh Pansambal, S., Anbazhagan, K., & Sugumar, R. Real-time Migration Risk Analysis Model for Improved Immigrant Development Using Psychological Factors. Migr Lett. 2023; 20 (4): 33–42.

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Published

2026-03-28

How to Cite

Application of Building Information Modelling (BIM) for Cost and Time Optimization in Housing Projects: A Case Study Based on the Indian Construction Scenario. (2026). International Journal of Engineering & Extended Technologies Research (IJEETR), 8(2), 2454-2465. https://doi.org/10.15662/IJEETR.2026.0802230