Skip to main content

Schedule Risk Analysis

  • Chapter
  • First Online:
Book cover Integrated Project Management Sourcebook
  • 2554 Accesses

Abstract

Monte Carlo simulations can be used in dynamic project scheduling to measure the sensitivity of project activities as described in article “RA5: Schedule sensitivity” on page 123 or to evaluate the accuracy of forecasting methods used in Earned Value Management (see article “PC13: Forecast accuracy” on page 236). In this article, the underlying principle used during these simulations is briefly explained and illustrated on a small example. In the example, the baseline duration of an activity must be replaced by a number generated from a predefined distribution function.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 249.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    This section is also available as an article entitled “Measuring time sensitivity in a project: The criticality index” published online at PM Knowledge Center.

  2. 2.

    This section is also available as an article entitled “Measuring time sensitivity in a project: The cruciality index (Pearson’s product-moment)” published online at PM Knowledge Center.

  3. 3.

    This section is also available as an article entitled “Measuring time sensitivity in a project: The cruciality index (Kendall’s tau rank correlation)” published online at PM Knowledge Center.

  4. 4.

    This section is also available as an article entitled “Measuring time sensitivity in a project: The cruciality index (Spearman’s rank correlation)” published online at PM Knowledge Center.

  5. 5.

    This section is also available as an article entitled “Measuring time sensitivity in a project: The schedule sensitivity index” published online at PM Knowledge Center.

  6. 6.

    This section is also available as an article entitled “Measuring time sensitivity in a project: The significance index” published online at PM Knowledge Center.

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Vanhoucke, M. (2016). Schedule Risk Analysis. In: Integrated Project Management Sourcebook. Springer, Cham. https://doi.org/10.1007/978-3-319-27373-0_7

Download citation

Publish with us

Policies and ethics