Bounding the Project Completion Time Distribution in PERT Networks

Bajis Dodin
Additional contact information
Bajis Dodin: University of California, Riverside, California

Operations Research, 1985, vol. 33, issue 4, 862-881

Abstract: We consider the PERT model of a project composed of activities whose durations are random variables with known distributions. For the situations in which the activity durations are completely independent, we present a new method for obtaining a probability distribution function that bounds the exact probability distribution of the project completion time from below. The bounding distribution can be used to obtain an upper bound on the mean completion time of the project. We also prove and illustrate that this bounding distribution is better (tighter) than any of the existing lower bounds, implying that the corresponding upper bound on the mean completion time is tighter than any of the existing upper bounds.

Keywords: 671 completion time of the project; 674 bounding the distribution function of the project duration (search for similar items in EconPapers)
Date: 1985
References: Add references at CitEc
Citations: View citations in EconPapers (21)

Downloads: (external link)
http://dx.doi.org/10.1287/opre.33.4.862 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:inm:oropre:v:33:y:1985:i:4:p:862-881

Access Statistics for this article

More articles in Operations Research from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().