Discrete-Event Simulation:A First Course
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Joined: Jun 2010
07-10-2010, 10:52 AM
This article is presented by:
Steve Park and Larry Leemis
College of William and Mary
Discrete-Event Simulation:A First CourseTechnical Attractions of Simulation
Ability to compress time, expand time
Ability to control sources of variation
Avoids errors in measurement
Ability to stop and review
Ability to restore system state
Modeler can control level of detail
What is discrete-event simulation?
Modeling, simulating, and analyzing systems
Computational and mathematical techniques
Model: construct a conceptual framework that describes a system
Simulate: perform experiments using computer implementation of the model
Analyze: draw conclusions from output that assist in decision making process
We will first focus on the model
Characterizing a Model
Deterministic or Stochastic
Does the model contain stochastic components?
Randomness is easy to add to a DES
Static or Dynamic
Is time a significant variable?
Continuous or Discrete
Does the system state evolve continuously or only at discrete points in time?
Continuous: classical mechanics
Discrete: queuing, inventory, machine shop models
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