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Earned Value Management

In: Project Management with Dynamic Scheduling

Author

Listed:
  • Mario Vanhoucke

    (Ghent University)

Abstract

In the previous parts of this book, it was assumed that the project has not started yet, and hence, the project was still in the definition and scheduling phase of the project life cycle. From this chapter on, it is assumed that the project has started (execution phase) and that the project is in progress. Consequently, it is the task of the project manager to carefully control the performance of the project, using his/her knowledge of the schedule risk analyses and baseline scheduling steps discussed in the two previous parts. The project control dimension of dynamic scheduling can be done relying on a well-established technique known as Earned Value Management. Earned Value Management (EVM) is a methodology used since the 1960s, when the USA department of defense proposed a standard method to measure a project’s performance. The system relies on a set of often straightforward metrics to measure and evaluate the general health of a project. These metrics serve as early warning signals to timely detect project problems or to exploit project opportunities. The purpose of an EVM system is to provide answers to project managers on questions such as: $$\bullet $$ What is the difference between budgeted and actual costs? $$\bullet $$ What is the current project status? Ahead of schedule or schedule delay? $$\bullet $$ Given the current project performance, what is the expected remaining time and cost of the project?This chapter gives an overview of all EVM metrics and performance measures to monitor the time and cost dimension of a project’s current progress to date, and shows how this information can be used to predict the expected remaining time and cost to finalize the project. This information serves as a trigger to take corrective actions to bring the project back on track when needed.

Suggested Citation

  • Mario Vanhoucke, 2012. "Earned Value Management," Springer Books, in: Project Management with Dynamic Scheduling, edition 127, chapter 0, pages 215-238, Springer.
  • Handle: RePEc:spr:sprchp:978-3-642-25175-7_12
    DOI: 10.1007/978-3-642-25175-7_12
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    Cited by:

    1. Vanhoucke, Mario & Colin, Jeroen, 2016. "On the use of multivariate regression methods for longest path calculations from earned value management observations," Omega, Elsevier, vol. 61(C), pages 127-140.
    2. Mohammadreza Sharifi Ghazvini & Vahidreza Ghezavati & Sadigh Raissi & Ahmad Makui, 2017. "An Integrated Efficiency–Risk Approach in Sustainable Project Control," Sustainability, MDPI, vol. 9(9), pages 1-20, September.
    3. M. T. Hajiali & M. R. Mosavi & K. Shahanaghi, 2014. "Estimation of Project Completion Time-Based on a Mixture of Expert in an Interactive Space," Modern Applied Science, Canadian Center of Science and Education, vol. 8(6), pages 229-229, December.
    4. Merkourios Papanikolaou & Yiannis Xenidis, 2020. "Risk-Informed Performance Assessment of Construction Projects," Sustainability, MDPI, vol. 12(13), pages 1-20, July.
    5. Cohen, Izack & Iluz, Michal, 2015. "When cost–effective design strategies are not enough: Evidence from an experimental study on the role of redundant goals," Omega, Elsevier, vol. 56(C), pages 99-111.
    6. Martens, Annelies & Vanhoucke, Mario, 2019. "The impact of applying effort to reduce activity variability on the project time and cost performance," European Journal of Operational Research, Elsevier, vol. 277(2), pages 442-453.
    7. Song, Jie & Martens, Annelies & Vanhoucke, Mario, 2022. "Using Earned Value Management and Schedule Risk Analysis with resource constraints for project control," European Journal of Operational Research, Elsevier, vol. 297(2), pages 451-466.
    8. Song, Jie & Martens, Annelies & Vanhoucke, Mario, 2020. "The impact of a limited budget on the corrective action taking process," European Journal of Operational Research, Elsevier, vol. 286(3), pages 1070-1086.
    9. Plaza, Malgorzata, 2016. "Balancing the costs of human resources on an ERP project," Omega, Elsevier, vol. 59(PB), pages 171-183.

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