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Paper ID:IJSREM65193

Schedule Preparation and Earned Value Management Analysis for High-Rise Residential Projects

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM65193

Volume:

10 |

6 |

Jun 2026

Pages:

1-8

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM65193

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

MAHS

Mohammad Abdul Hamid Shaikh

Civil Engineering

D. Y. Patil College of Engineering, Akurdi, Pune

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Mentors

DSP

Dr. Smita Pataskar

Civil Engineering

D. Y. Patil College of Engineering, Akurdi, Pune

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Abstract

Construction projects, especially high-rise residential buildings, involve complex activities, large financial investments, strict deadlines, and continuous coordination among multiple stakeholders. Effective planning, scheduling, and monitoring are therefore essential for successful project execution. This study focuses on the preparation of project schedules and performance evaluation using Microsoft Project (MSP) and Earned Value Management (EVM) techniques for the Palladio La Viento high-rise residential project located at Mahalunge, Pune. The research includes collection of project data such as BOQ, activity durations, cost details, and progress records. MSP was used for activity scheduling, sequencing, critical path identification, and progress tracking, while EVM techniques were used to evaluate project cost and schedule performance through parameters such as Planned Value (PV), Earned Value (EV), Actual Cost (AC), Cost Variance (CV), Schedule Variance (SV), Cost Performance Index (CPI), and Schedule Performance Index (SPI). The study observed that excavation work was completed ahead of schedule and within budget, while PCC work experienced delayed commencement due to dependency on previous activities. However, all major activities achieved satisfactory cost performance with CPI values greater than one. The study concludes that the combined application of MSP scheduling and EVM analysis significantly improves project monitoring, cost control, schedule tracking, and decision-making efficiency in high-rise residential construction projects.

KEYWORDS

Earned Value Management Microsoft Project Construction Scheduling High-Rise Residential Project Project Monitoring

Cite This Article

Mohammad Abdul Hamid Shaikh, Dr. Smita Pataskar, "Schedule Preparation and Earned Value Management Analysis for High-Rise Residential Projects," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 6, pp. 1-8, Jun 2026. https://doi.org/10.55041/IJSREM65193

Full Article/Conclusion

The study concludes that effective planning, scheduling, monitoring, and cost control are essential for the successful execution of high-rise residential construction projects. The implementation of Microsoft Project (MSP) proved highly useful for preparing detailed construction schedules, sequencing activities, identifying critical path operations, and monitoring project progress systematically. Regular schedule updating and comparison between planned and actual progress helped identify project delays and improve coordination among project activities. The site visits conducted during the study provided valuable practical information regarding work execution, quality control, safety measures, and resource utilization. Earned Value Management (EVM) analysis provided an integrated approach for evaluating project cost and schedule performance. Parameters such as Planned Value (PV), Earned Value (EV), Actual Cost (AC), Cost Variance (CV), Schedule Variance (SV), Cost Performance Index (CPI), and Schedule Performance Index (SPI) helped assess project efficiency and performance accurately. The analysis showed positive Cost Variance values and CPI values greater than one, indicating that major construction activities were completed within budget and with effective resource utilization. Although some activities experienced delayed commencement due to dependency and coordination issues, overall project performance remained satisfactory. The study highlights that the combined use of MSP scheduling and EVM techniques significantly improves project monitoring, schedule control, cost management, and decision-making in high-rise residential construction projects.

References

1.    Andreas, A., Tinumbia, N., & Anggraini, E. (2023). Construction project control analysis using earned value management, earned schedule management, and earned duration management: Case study high-rise building project in Jakarta. Jurnal Infrastruktur, 9(2). https://doi.org/10.35814/infrastruktur.v9i2.4943 2.    Babar, S., Thaheem, M. J., & Ayub, B. (2016). Estimated cost at completion integrating risk into earned value management. Journal of Construction Engineering and Management. Retrieved from https://www.researchgate.net/ 3.    Bhagwat, M. M., & Chavan, S. (2021). Analysis of tracking of project by earned value management method in high rise building. International Journal of Engineering Research & Technology (IJERT), 10(10). Retrieved from https://www.ijert.org/ 4.    Bovteev, S., & Petrochenko, M. (2015). Monitoring project timescale performance using earned value management. Applied Mechanics and Materials, 725–726, 1025–1030. https://doi.org/10.4028/www.scientific.net/AMM.725-726.1025 5.    Chaudhary, R., Kumar, P., Singh, A., & Sharma, V. (2025). Integration of machine learning and earned value management for data-driven construction project control. International Journal of Engineering Science and Emerging Technologies. Retrieved from https://iejse.com/ 6.    Durga Sruthi, M., & Aravindan, A. (2020). Performance measurement of schedule and cost analysis by using earned value management for a residential building. Materials Today: Proceedings, 33(1), 524–532. https://doi.org/10.1016/j.matpr.2020.05.210 7.    Fleming, Q. W., & Koppelman, J. M. (2016). Earned value project management (4th ed.). Project Management Institute Publications. 8.    Humphreys, G. C. (2002). Project management using earned value. Humphreys & Associates Publications. 9.    Lipke, W., Zwikael, O., Henderson, K., & Anbari, F. T. (2009). Prediction of project outcome: The application of statistical methods to earned value management and earned schedule performance indexes. International Journal of Project Management, 27(4), 400–407. https://doi.org/10.1016/j.ijproman.2008.02.009 10. Mayo-Alvarez, L., Alvarez-Risco, A., Del-Aguila-Arcentales, S., Sekar, M. C., & Yañez, J. A. (2022). A systematic review of earned value management methods for monitoring and control of project schedule performance: An AHP approach. Sustainability, 14(22), 15259. https://doi.org/10.3390/su142215259

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Publication Date

6/18/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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