Forecasting Project Completion

  • Ivan Damnjanovic
  • Kenneth Reinschmidt
Part of the Risk, Systems and Decisions book series (RSD)


In this chapter we discuss methods for forecasting future job progress. More specifically we focus on forecasting two important project performance criteria – completion time and cost-at-completion, on the basis of past progress data. We introduce a class of S-curves that is suitable for representing job progress as well as discuss how to develop the confidence intervals around the forecasts. In addition we show how Bayesian methods can be used to update the parameters of the S-curve models.


Earned value Forecasting S-curves 


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Ivan Damnjanovic
    • 1
  • Kenneth Reinschmidt
    • 2
  1. 1.Texas A&M UniversityCollege StationUSA
  2. 2.College StationUSA

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