SAS Simulation Studio shown on desktop monitor

SAS® Simulation Studio

Understand complex, real-world systems with discrete-event simulation

Build models that mimic the behavior of complex, real-world systems so you can understand and improve them. Our discrete-event simulation software delivers extensive capabilities suitable for both novice and advanced users.


Model the behavior of complex real-world systems.

Analytic modeling methods often fall short of providing detailed depictions of systems with complex relationships and random variations. SAS Simulation Studio provides the tools you need to model all of the important elements of a system. The simulated data produced by the model is as realistic as possible.

Use with a broad range of industries and behaviors.

A prime motivation for building and running a discrete-event simulation model is to create realistic data on a system’s performance. Discrete-event simulation is faster, cheaper and less risky than building and observing multiplel versions of a real-world system.

Build models interactively.

Drag-and-drop, object-oriented modeling in a graphical environment lets you build, debug, verify and enhance your models step by step. You can add complexity and detail as you go. Animation, diagnostic messages, detailed traces of model runs, and graphical and numeric display features are included.

Create faster, better insights.

Explore alternate scenarios as well as varying operating conditions, configurations, routing logic and other factors that can affect system performance. It’s easy to examine simulated data to assess which factors are most influential. Then you can determine the choices most likely to produce the best results.



SAS Simulation Studio shown on laptop
  • Graphical user interface. Includes an easy-to-use block template display area and project desktop.
  • Model building and execution. Provides hierarchical model building capabilities, and enables simultaneous execution on multiple computational cores.
  • Innovative resource modeling: mobile resource entities. Complements block-based stationary resources.
  • Support for large models and large experiments. Provides a complete, scaled-down view of large models that may be far larger than one screen.
  • Integrated with SAS® and JMP® analytics. Provides powerful data processing and analysis capabilities.
  • Precise, flexible data management and analysis. Lets you input stored data to a model, reading in single values or single rows. Also stores entire data sets and lets you query it as needed during simulation runs.
  • Experimental design and input analysis. Enables analysis of simulated data and automated, interactive experimental design.


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