This research program is concerned with the development of both theoretical and computational tools for the analysis of stochastic discrete-event dynamic systems (DEDS). Such systems arise naturally in the analysis of modern manufacturing facilities, telecommunications networks, and computing/database machines. It is intended to establish basic algorithms (primarily simulation- oriented) for the efficient numerical computation of performance measures associated with such systems. Although the primary goal is to develop theoretical and algorithmic tools, it is expected that the research program will develop theory and methodology that will positively contribute to applied probability, queueing theory, and discrete-event simulation.

Agency
National Science Foundation (NSF)
Institute
Division of Civil, Mechanical, and Manufacturing Innovation (CMMI)
Application #
9101580
Program Officer
F. Hank Grant
Project Start
Project End
Budget Start
1991-07-01
Budget End
1993-12-31
Support Year
Fiscal Year
1991
Total Cost
$100,000
Indirect Cost
Name
Stanford University
Department
Type
DUNS #
City
Palo Alto
State
CA
Country
United States
Zip Code
94304