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 those changes may have.

Learn how to build, run, and analyze discrete-event simulation models using SAS Simulation Studio software. Specifically, you will 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
Classroom:	3.0 days
e-Learning:	21 hours/180 day license	System Requirements

Before attending this course you should be familiar with the Microsoft Windows operating system.

This course will also touch on JMP software and Base SAS software. You will benefit from this course even if JMP or Base SAS is not installed at your location.

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 Validation

• confirming the model

Data Management

• reading and writing data sets
• saving simulation data
• data analysis

Resource Management

• mobile resources
• resource scheduling and preemption