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2013 | OriginalPaper | Buchkapitel

13. Advanced Topics

verfasst von : Mario Vanhoucke

Erschienen in: Project Management with Dynamic Scheduling

Verlag: Springer Berlin Heidelberg

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Abstract

This chapter gives an overview of the main Earned Value Management (EVM) research results obtained by a large Monte-Carlo simulation study summarized in the book by Vanhoucke (2010a). The focus is on the prediction of the final duration of a project in progress using the forecasting methods of Sect.​ 12.​4.​1.​ The chapter measures the accuracy of these prediction methods and the main drivers of this accuracy along the various stages in the project life cycle. The chapter also presents a rather new EVM extension, the so-called p-factor approach, to measure schedule adherence based on the traditional earned value metrics. Finally, the chapter presents the main results of integrating the three components of dynamic scheduling (baseline scheduling, risk analysis and project control) and investigates whether the integrated approach might lead to a higher efficiency of the project control phase during its progress.

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Fußnoten
1
I learned this very positive attitude from Walt Lipke, who always supported any research idea, even if it sometimes led to counterintuitive or wrong results.
 
Literatur
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Zurück zum Zitat Vanhoucke M (2008a) Measuring time using novel earned value management metrics. In: Proceedings of the 22nd IPMA World Congress (Rome), vol 1, pp 99–103 Vanhoucke M (2008a) Measuring time using novel earned value management metrics. In: Proceedings of the 22nd IPMA World Congress (Rome), vol 1, pp 99–103
Zurück zum Zitat Vanhoucke M (2008b) Project tracking and control: can we measure the time? Projects and Profits, August:35–40 Vanhoucke M (2008b) Project tracking and control: can we measure the time? Projects and Profits, August:35–40
Zurück zum Zitat Vanhoucke M (2009) Static and dynamic determinants of earned value based time forecast accuracy. In: Kidd T (ed) Handbook of research on technology project management, planning, and operations. Information Science Reference, Hershey, pp 361–374 Vanhoucke M (2009) Static and dynamic determinants of earned value based time forecast accuracy. In: Kidd T (ed) Handbook of research on technology project management, planning, and operations. Information Science Reference, Hershey, pp 361–374
Zurück zum Zitat Vanhoucke M (2010a) Measuring time - Improving project performance using earned value management, vol 136, International series in operations research and management science. Springer, New York Vanhoucke M (2010a) Measuring time - Improving project performance using earned value management, vol 136, International series in operations research and management science. Springer, New York
Zurück zum Zitat Vanhoucke M (2010b) Using activity sensitivity and network topology information to monitor project time performance. Omega Int J Manag Sci 38:359–370CrossRef Vanhoucke M (2010b) Using activity sensitivity and network topology information to monitor project time performance. Omega Int J Manag Sci 38:359–370CrossRef
Zurück zum Zitat Vanhoucke M, Vandevoorde S (2007a) Measuring the accuracy of earned value/earned schedule forecasting predictors. The Measurable News, Winter:26–30 Vanhoucke M, Vandevoorde S (2007a) Measuring the accuracy of earned value/earned schedule forecasting predictors. The Measurable News, Winter:26–30
Zurück zum Zitat Vanhoucke M, Vandevoorde S (2007b) A simulation and evaluation of earned value metrics to forecast the project duration. J Oper Res Soc 58:1361–1374CrossRef Vanhoucke M, Vandevoorde S (2007b) A simulation and evaluation of earned value metrics to forecast the project duration. J Oper Res Soc 58:1361–1374CrossRef
Zurück zum Zitat Vanhoucke M, Vandevoorde S (2008) Earned value forecast accuracy and activity criticality. The Measurable News Summer:13–16 Vanhoucke M, Vandevoorde S (2008) Earned value forecast accuracy and activity criticality. The Measurable News Summer:13–16
Zurück zum Zitat Vanhoucke M, Vandevoorde S (2009) Forecasting a project’s duration under various topological structures. The Measurable News Spring:26–30 Vanhoucke M, Vandevoorde S (2009) Forecasting a project’s duration under various topological structures. The Measurable News Spring:26–30
Metadaten
Titel
Advanced Topics
verfasst von
Mario Vanhoucke
Copyright-Jahr
2013
Verlag
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-642-40438-2_13