Project scheduling using state-based probabilistic decision networks

Author

Ioannou, Photios G. ; Martinez, Julio C.

Author_Institution

Dept. of Civil & Enivron. Eng., Michigan Univ., Ann Arbor, MI, USA

Volume

2

fYear

1998

fDate

13-16 Dec 1998

Firstpage

1287

Abstract

The paper presents probabilistic CPM scheduling using an add-on program to the STROBOSCOPE simulation system that allows dependence and correlation between activity durations as well as control over precedence and the selection of paths. Activity durations and sequencing can be defined in terms of the dynamic information that becomes available as a project evolves and includes the actual start date and duration of activities already started. An example highway project illustrates the modeling power of this approach

Keywords

civil engineering computing; critical path analysis; decision diagrams; digital simulation; probability; scheduling; STROBOSCOPE simulation system; activity durations; add-on program; dependence; dynamic information; highway project; modeling power; probabilistic CPM scheduling; project scheduling; start date; state based probabilistic decision networks; Civil engineering; Computer languages; Costs; Dynamic scheduling; Multiuser detection; Probability distribution; Road transportation; Uncertainty; Vehicle dynamics; Vehicles;

fLanguage

English

Publisher

ieee

Conference_Titel

Simulation Conference Proceedings, 1998. Winter

Conference_Location

Washington, DC

Print_ISBN

0-7803-5133-9

Type

conf

DOI

10.1109/WSC.1998.745992

Filename

745992