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On the Expected Completion Time of Diffusion Activity Networks (DiAN)

  • S. E. Elmaghraby
  • M. K. Aggerwal
Part of the NATO ASI Series book series (NSPS, volume 17)

Abstract

Traditionally, uncertainties in activity durations have been modelled as random variables with corresponding probability distribution functions. These latter are assumed to be known a priori. In reality estimates of activities’ “remaining work cbntents” as well as their duration vary dynamically over time, with divergent variability as the planning horizon extends into the future. To capture this dynamic nature of the estimates, we model the activity as diffusion processes.

Keywords

Completion Time Polynomial Approximation Activity Duration Complex Project Work Content 
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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Copyright information

© Springer Science+Business Media Dordrecht 1997

Authors and Affiliations

  • S. E. Elmaghraby
    • 1
  • M. K. Aggerwal
    • 1
  1. 1.Graduate Program in Operations ResearchNorth Carolina State UniversityRaleighUSA

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