Reevaluating Earned Value Formulas Across Project Types: A Critical Cross-Case Analysis

Authors

  • Shealan Hameed Ministry of Higher Education Author

DOI:

https://doi.org/10.65204/djes.v3i3.697

Keywords:

Earned Value Management (EVM), Project Performance Measurement, Earned Schedule, Project Health, Cost Performance index (CPI), Schedule Performance index (SPI), Critical Path system (CPM), Cross, Project Analysis. [3],[8]

Abstract

Traditionally, Earned Value Management (EVM) has generally been applied as a standard methodology for project cost and/ or schedule performance dimension. Though with expansive institutionalization as a standard with the help of morals in project performance dimension as it concerns transnational project operation, are there project enterprises where, under the traditional Earned Value fashion, one couldn't calculate and/ or understand? The extensively applied Earned Value formula, which relies on specific probability of completion, has proven to affect in the severe conception of project performance, thereby distorting the Earned Value approach in project schedule performance dimension. This is because this paper seeks to offer a critical analysis of the conventional traditional Earned Value approach through the operation of the comparison of different kinds of project types: Software development, Professional Consulting Services, and Construction Projects. [1].[2]
Once the criteria for performance confines have been linked, the applicable performance pointers similar as EV, PV, AC, CPI, SPI, and EAC can be assessed and compared. The viability of the effectiveness of these important EVM performance pointers can be estimated for the connection of EVM for fiscal performance; still, it cannot be relied upon for project performance. A marked difference has been noted between indicated performance indices and the real project execution realities, especially in those projects that show prominent schedule interdependencies and critical path sensitivity. In this regard, this study builds upon the area of project management theory by highlighting the structural short comings of traditional EV usage as well as the overall importance of the integration of schedules, predicated performance extension, risks, shaped activity weights, as well as critical path sense into the traditional systems of performance measurement.[3] [4]
From the managerial position, the research results provide useful perceptivity to layout directors and associations on enhancing performance dimension delicacy and battling undesirable control signals. This work provides a practical engineering-oriented perspective for improving project control reliability in real execution environments. The proposed comparative analysis supports decision-making in engineering project management applications by highlighting actionable performance diagnosis mechanisms.[5]

References

Joslin, R., Müller, R., & Shao, J. (2023). Project performance measurement across project types. International Journal of Project Management.

Serrador, P., & Pinto, J. K. (2024). Why performance indicators behave differently across industries. Project Management Journal.

Vanhoucke, M., & Coelho, J. (2023). Critical path sensitivity and performance distortion in EVM. European Journal of Operational Research.

Kerzner, H. (2022). Project Management: A Systems Approach to Planning, Scheduling, and Controlling (13th ed.). Wiley.

Lipke, W., Henderson, K., & Zwikael, O. (2022). Revisiting Earned Schedule as a time-based control mechanism. Project Management Journal.

Marshall, R., & Willems, L. (2024). Time-based performance forecasting in complex projects. International Journal of Managing Projects in Business.

(Vanhoucke, M. (2023). Measuring project performance: Beyond earned value metrics. International Journal of Project Management.

Acebes, F., Pajares, J., & Galán, J. M. (2022). Earned Value Management: A critical review of schedule performance reliability. IEEE Transactions on Engineering Management.

Project Management Institute. (2019). A Guide to the Project Management Body of Knowledge (PMBOK® Guide) (6th ed.). Project Management Institute.

Fleming, Q. W., & Koppelman, J. M. (2016). Earned Value Project Management (4th ed.). Project Management Institute.

Lipke, W. (2003). Schedule is different. The Measurable News, 1–7.

Vanhoucke, M. (2010). Measuring Time: Improving Project Performance Using Earned Value Management. Springer.

PMI Practice Standard for Earned Value Management

Shenhar, A. J., Dvir, D., Levy, O., & Maltz, A. C. (2001). Project success: A multidimensional strategic concept. Long Range Planning, 34(6), 699–725.

Müller, R., & Jugdev, K. (2012). Critical success factors in projects. International Journal of Managing Projects in Business, 5(4), 757–775.

Unger, B. N., Gemünden, H. G., & Aubry, M. (2023). Project health as a multidimensional governance construct. International Journal of Project Management.

Martinsuo, M., & Geraldi, J. (2022). Beyond the triple constraint: Project health and adaptive control. International Journal of Operations & Production Management.

Dr.Eng. Mansour (Project Management Between Theory and Practice 2020-2025),

Henderson, K. (2007). Further developments in earned schedule. In PMI Global Congress Proceedings.

Project Management Institute. (2021). A Guide to the Project Management Body of Knowledge (PMBOK® Guide).

Defense Acquisition University (DAU) EVM Resources.

NASA EVM Implementation Handbook.

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Published

2026-08-26