What is SAS Simulation Studio?
SAS Simulation Studio is discrete-event simulation software for building, running and analyzing models of complex real-world systems. Its graphical modeling environment lets users simulate processes, experiment with different scenarios and analyze results to understand system performance and identify opportunities for improvement.
SAS Simulation Studio benefits
Model complex real-world systems and processes
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.
Simulate systems across industries and use cases
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 multiple versions of a real-world system.
Build simulation 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.
Evaluate scenarios and system performance
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.
Key features
Graphical user interface
Includes an easy-to-use block template display area and project desktop.
Model building & 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 & large experiments
Provides a complete, scaled-down view of large models that may be far larger than one screen.
Integrated with SAS & JMP analytics
Provides powerful data processing and analysis capabilities.
Precise, flexible data management & 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 & input analysis
Enables analysis of simulated data and automated, interactive experimental design.
