Advanced event scheduling methodology: advanced event scheduling methodology

Authors:
Lee W. Schruben;Theresa M. Roeder;Wai Kin Chan;Paul Hyden;Mike Freimer
Affiliations:
University of California, Berkeley, Berkeley, CA;University of California, Berkeley, Berkeley, CA;University of California, Berkeley, Berkeley, CA;Clemson University, Clemson, SC;The Pennsylvania State University, University Park, PA
Venue:
Proceedings of the 35th conference on Winter simulation: driving innovation
Year:
2003

Citing 7
Cited 0

Structural and behavioral equivalence of simulation models

ACM Transactions on Modeling and Computer Simulation (TOMACS)
Simulation optimization using simultaneous replications and event time dilation

Proceedings of the 29th conference on Winter simulation
Designing simultaneous simulation experiments

Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
Mathematical programming models of discrete event system dynamics

Proceedings of the 32nd conference on Winter simulation
Improved decision processes through simultaneous simulation and time dilation

Proceedings of the 32nd conference on Winter simulation
Stochastic optimization using simulation: graphical representation of IPA estimation

Proceedings of the 33nd conference on Winter simulation
Special topics on simulation analysis: properties of discrete event systems from their mathematical programming representations

Proceedings of the 35th conference on Winter simulation: driving innovation

Quantified Score

Hi-index	0.00

Visualization

Abstract

Simulation Event Graphs (SEGs) are a graphical representation one of the three major simulation world views, event scheduling. This paper describes four advanced modeling techniques that allow the simulation practitioner to gather a great deal of information at relatively little development and/or processing effort beyond that of developing the simulation model.