Course Objectives include:
Learn techniques for modeling and simulating discrete-event systems.
To provide an understanding of why good statistics are critical to effective decision
making.
Use this knowledge to build models that will help solve practical problems.
Applications of discrete event simulation methods to queuing, inventory control, and
production planning problems.
Learn the basics of the SIMIO
– Simulation system
Topical Outline:
1: Introduction to Simulation Modeling
Systems and Models
Discrete Event System Simulation
2: Simulation Examples
Simulating a Single-Server Queue
3: Concepts in Discrete Event Simulation
Elements of Discrete Event Simulation
Examples of DES Models
4: Review statistical concepts
Discrete and Continuous Distributions
Confidence intervals
Hypothesis Testing
5: Input Modeling and Data Collection
Identifying the Distribution with the Data
Parameter Estimation Goodness of Fit Tests
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