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
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
Prerequisites
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.
SAS Products Covered
SAS Simulation Studio
Course Outline
Getting Started in SAS Simulation Studio
Introduction to discrete-event simulation. Introduction to SAS Simulation Studio. Adding Complexity Building more complex models. More complex experiments. Verification and ValidationConfirming the model. Data Management Reading and writing data sets. Saving simulation data. Data analysis. Resource ManagementMobile resources. Resource scheduling and preemption.
