Abstract
One of the main key factors during the project life cycle is the control of the project’s real status against the planned one. It allows project manager to evaluate its health and to take corrective actions if needed. An efficient control requires an integrated supervision of the project performance, scheduling and costs. Earned Value Management (EVM) is a method that integrates these three parameters in a quantifiable form and therefore its use has been extended both in private and public companies. The latest research works about EVM go through the evaluation of the performance indexes and forecasting formulas, the applicability to any type of project and the consideration of specific projects issues such as the technical performance. This work presents the application of EVM to two real projects where the technical performance is a driver, and the further analysis of resulting EVM indexes. For the experiment, besides real data, several probable scenarios have been generated applying statistical methods by Monte Carlo simulations to evaluate the efficiency of the EVM performance indexes in this type of projects.
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References
American National Standards Institute (1998) Earned value management systems. ANSI/EIA-748-A–1998
Anbari F (2003) Earned value project management method and extensions. Proj Manage J 34(4):12–23
Christensen DS, Heise SR (1993) Cost performance index stability. Natl Contract Manage J 25:7–15
Fleming Q, Koppelman J (1998) Earned Value Project Management, A Powerful Tool for Software Projects. CROSSTALK The Journal of Defense Software Engineering 19–23
Fleming Q, Koppelman J (2006) Start with “Simple” Earned Value…On All Your Projects. The Measurable News 9-14
Fleming Q, Koppelman J (2008) The two most useful earned value metrics: the CPI and the TCPI. CROSSTALK The Journal of Defense Software Engineering 16–18
Lipke W (2003) Schedule is different. The Measurable News 31–34
Lipke W, Zwikael O, Henderson K, Anbari F (2009) Prediction of project outcome: the application of statistical methods to earned value management and earned schedule performance indexes. Int J Proj Manage 27(4):400–407
Moslemi L, Shadrokh S, Salehipour A (2011) A fuzzy approach for the earned value management. Int J Proj Manage 29(6):764–772
Muñoz J, Otegi J, Rubio J (2012) Technical performance based earned value as a management tool for engineering projects. Engineering management book. Intech, pp 143–166
Pajares J, López-Paredes A (2011) An extension of the EVM analysis for project monitoring: the cost control index and the schedule control index. Int J Proj Manage 29(5):615–621
A Guide to the Project Management Body of Knowledge (PMBOK® Guide) (2008) ISBN 9781933890722. Project Management Institute, Inc. Practice Standard for Earned Value Management (2005) ISBN 1930699425. Project Management Institute, Inc.
PMI (2005) The practice standard for earned value management. Project Management Institute
Solomon P (2005) performance-based earned value. CROSSTALK The Journal of Defense Software Engineering 22–26
Solomon P (2006) Practical Performance-Based Earned Value. CROSSTALK The Journal of Defense Software Engineering 22–24
Solomon P (2008) Integrating systems engineering with earned value management. The Measurable News 7–14
Vanhoucke M (2011) Measuring the efficiency of project control using ficticious and empirical project data. Int J Proj Manage 30(2):252–263 (To Appear)
Vanhoucke M, Vandevoorde S (2008) Earned value forecast accuracy and activity criticality. The Measurable News13–16
Xu J (2010) Project integrated management based on quality earned value. Proceedings of the 2nd international conference on information science and engineering, 2010, pp 432–435
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Rubio, J., Muñoz, J., Otegi, J. (2015). Engineering Projects Assessment Using Earned Value Management with Performance Indexes Evaluation and Statistical Methods. In: Ayuso Muñoz, J., Yagüe Blanco, J., Capuz-Rizo, S. (eds) Project Management and Engineering. Lecture Notes in Management and Industrial Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-12754-5_5
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DOI: https://doi.org/10.1007/978-3-319-12754-5_5
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