This course is for analysts who need to use discrete-event simulation in order to model complex systems that are difficult or impossible to model using traditional analytical techniques. Discrete-event simulation models dynamic systems whose state changes only when distinct, discrete events occur. The simulation models can then be used to look at various changes to the processes to determine the impacts that those changes might have.
The self-study e-learning includes:
- Annotatable course notes in PDF format.
- Virtual Lab time to practice.
Learn how to
Build, run, and analyze discrete-event simulation models using SAS Simulation Studio software. Specifically, you learn how to
- Use the discrete-event simulation study steps to create a high-level simulation model.
- Use discrete-event simulation modeling concepts to develop models of dynamic systems.
- Model complexity through the use of conditional logic, schedules, resource constraints, and more.
- Verify and validate the accuracy and appropriateness of simulation models.
Who should attend
Analysts who want to learn how to use discrete-event simulation models as a way to understand and analyze complex real-world systems
Formats available | Standard Duration (duration can vary, see event schedule for details) | | |
e-Learning: |
21 hours/180 day license |
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Before attending this course, you should be familiar with the Microsoft Windows operating system.
This course also touches on JMP software and Base SAS software. You benefit from this course even if JMP or Base SAS is not installed at your location.
