Skip to main content
Log in

Due Date-Based Metrics for Activity Importance in Stochastic Activity Networks

  • Published:
Annals of Operations Research Aims and scope Submit manuscript

Abstract

A metric pair for assessing the importance of activities in stochastic activity networks based on completing a project on time (or reaching other project milestones) is presented. The metric pair is recommended as a supplement to other metrics of activity importance that have been suggested for use with Monte Carlo simulation. The differences in behavior of the various metrics are analyzed to help understand the additional types of insights that would be available by including the new metrics in simulation-based analyses.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. V.G. Adlakha, A Monte Carlo technique with quasirandom points for the stochastic shortest path problem, American J. Math. and Management Sci. 7(4) (1987) 325–358.

    Google Scholar 

  2. V.G. Adlakha and V.G. Kulkarni, A classified bibliography of research on stochastic pert networks: 1966-1987, INFOR 27 (1989) 272–296.

    Google Scholar 

  3. R.A. Bowman, Stochastic gradient-based time-cost tradeoffs in PERT networks using simulation, Annals of Operations Research 53 (1994) 533–551.

    Google Scholar 

  4. J.M. Burt and M.B. Garman, Conditional Monte Carlo: a simulation technique for stochastic network analysis, Management Science 18(3) (1971) 207–217.

    Google Scholar 

  5. J.G. Cho and B.J. Yum, An uncertainty importance measure of activities in PERT networks, International Journal of Production Research 35(10) (1997) 2737–2758.

    Google Scholar 

  6. S.E. Elmaghraby, Activity Networks: Project Planning and Control by Network Models (Wiley, 1977).

  7. S.E. Elmaghraby, On criticality and sensitivity in activity networks, European Journal of Operational Research, submitted.

  8. S.E. Elmaghraby, Y. Fathi and M.R. Taner, On the sensitivity of project variability to activity mean duration, International Journal of Production Economics 62(3) (1999) 219–232.

    Google Scholar 

  9. G.S. Fishman, Estimating network characteristics in stochastic actvitity networks, Management Science 31(5) (1985) 579–593.

    Google Scholar 

  10. V.G. Kulkarni and V.G. Adlakha, Markov and Markov-regenerative PERT networks, Operations Research 34(5) (1986) 769–781.

    Google Scholar 

  11. R. Loulou and T. Beale, A comparison of variance reducing techniques in PERT simulations, Canadian Journal of Operations Research and Information Processing 14 (1976) 259–269.

    Google Scholar 

  12. C.E. Sigal, A.A.B. Pritsker and J.J. Solberg, The use of cutsets in Monte Carlo analysis of stochastic networks, Math. Comput. Simulation 21 (1979) 376–384.

    Google Scholar 

  13. R.M. Van Slyke, Monte Carlo methods and the PERT problem, Operations Research 11 (1963) 839–860.

    Google Scholar 

  14. T.M. Williams, Criticality in stochastic networks, Journal of the Operational Research Society 43 (1992) 353–357.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Bowman, R. Due Date-Based Metrics for Activity Importance in Stochastic Activity Networks. Annals of Operations Research 102, 39–48 (2001). https://doi.org/10.1023/A:1010993713274

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1010993713274

Navigation