Forecasting

  • Mario Vanhoucke
Chapter
First Online:
Part of the Management for Professionals book series (MANAGPROF)

Abstract

One of the primary tasks of a project manager is making decisions about the future during project progress. EVM systems are designed to follow up the performance of a project and to act as a warning signal to take corrective actions in the (near) future. Forecasting the total project cost and the time to completion is crucial to take corrective actions when problems or opportunities arise and hence, the performance measures will be mainly used as early warning signals to detect these project problems and/or opportunities.

Keywords

Performance Factor Mean Absolute Percentage Error Forecast Accuracy Future Performance Forecast Method 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Bibliography

  1. Anbari, F. (2003). Earned value project management method and extensions. Project Management Journal, 34(4), 12–23.Google Scholar
  2. Christensen, D. (1993). The estimate at completion problem: A review of three studies. Project Management Journal, 24, 37–42.Google Scholar
  3. Christensen, D. (2004, Winter). Is the cumulative SCI-based EAC an upper bound to the final cost of post-A12 defense contracts? Journal of Cost Analysis and Management, 6, 1–10.CrossRefGoogle Scholar
  4. Christensen, D., Antolini, R., & McKinney, J. (1995, Spring). A review of estimate at completion (EAC) research. Journal of Cost Analysis and Management, 41–62.Google Scholar
  5. Christensen, D., & Heise, S. (1993). Cost performance index stability. National Contract Management Journal, 25, 7–15.Google Scholar
  6. Christensen, D., & Payne, K. (1992). Cost performance index stability – Fact or fiction? Journal of Parametrics, 10, 27–40.Google Scholar
  7. Christensen, D., & Rees, D. (2002, Winter). Is the CPI-based EAC a lower bound to the final cost of post A-12 contracts? Journal of Cost Analysis and Management, 4, 55–65.CrossRefGoogle Scholar
  8. Christensen, D., & Templin, C. (2002). EAC evaluation methods: Do they still work? Acquisition Review Quarterly, 9, 105–116.Google Scholar
  9. Covach, J., Haydon, J., & Riether, R. (1981). A study to determine indicators and methods to compute estimate at completion (EAC). Virginia: ManTech International Corporation.Google Scholar
  10. Henderson, K., & Zwikael, O. (2008). Does project performance stability exist? A re-examination of CPI and evaluation of SPI(t) stability? Crosstalk – The Journal of Defense Software Engineering, 21, 7–13.Google Scholar
  11. Jacob, D. (2003, March). Forecasting project schedule completion with earned value metrics. The Measurable News, 1, 7–9.Google Scholar
  12. Lipke, W. (2003, Summer). Schedule is different. The Measurable News, 31–34.Google Scholar
  13. 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. International Journal of Project Management, 27, 400–407.CrossRefGoogle Scholar
  14. Vandevoorde, S., & Vanhoucke, M. (2006). A comparison of different project duration forecasting methods using earned value metrics. International Journal of Project Management, 24, 289–302.CrossRefGoogle Scholar
  15. Vanhoucke, M. (2010a). Measuring time – Improving project performance using earned value management (Volume 136 of International series in operations research and management science). Dordrecht: Springer.Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Mario Vanhoucke
    • 1
  1. 1.Faculty of Economics and Business AdministrationUniversity of GhentGentBelgium

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