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2007
Summer Computer Simulation Conference (SCSC'07)
TUTORIAL
OpEMCSS+EXTEND:
Graphical Discrete Event Simulation Tool
Prof.
John R. Clymer. Cal State Fullerton and Forell
Enterprises, Inc.
OpEMCSS+EXTEND
is a graphical Discrete Event Simulation (DES) library that enhances the
popular commercial software tool, EXTEND, a product of Imagine That Inc.
This library has the power of much more costly, general-purpose simulation
products. OpEMCSS provides the ability to examine important elements in the
problem space and to allow the formulation of alternative solution
concepts. OpEMCSS facilitates unconventional "out-of-the-box"
thinking to discover the underlying system problems and exploit the best
alternatives in the solution space without focusing on a point design too
soon. In order to simulate various operational scenarios, OpEMCSS includes
blocks to model agent motion and spatial interactions, agent communication
and knowledge sharing, and intelligent rule-based decision-making.
Topic 1:
Modeling Language Comparison, History of OpEM language, Basic OpEMCSS
modeling blocks
Topic 2: Logic
and Statistical Concepts for Simulation, Convergence, Sensitivity Analysis
Topic 3: How
OpEMCSS Simulation Programs Work, Model Development Procedure
Topic 4:
Feature Facts, Situational Universe, Decision Ambiguity, Crisp & Fuzzy
Rules, Air Traffic Control Model
Topic 5:
Intelligent Adaptive Systems, Intelligent Agents, Traffic Control System,
Sonar Array System
John R. Clymer,
Ph D., professor of electrical engineering, Cal State Fullerton; and
scientist at Forell Enterprises, Inc., is a member of the International
Council on Systems Engineering and founding member of the Applied Research
Center for Systems
Science at CSUF. He has extensive experience in aerospace engineering at
Rockwell, Hughes Aircraft, Raytheon, and the Navy Norco Lab. Dr. Clymer's
areas of expertise include computer engineering, system control, continuous
systems simulation, operational analysis and DES simulation, optimization
and mathematical programming, and artificial intelligence (fuzzy logic and
control, neural networks, and expert systems). Dr. Clymer is widely known
and published in the area of systems engineering.
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