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Simio is object-based simulation software with a unique mix of simplicity and flexibility that lets users quickly improve performance of dynamic systems and identify and avoid risk fast.

By combining the simplicity of customizable, shareable objects with the flexibility of processes, Simio can rapidly model almost any system without requiring programming – allowing users to side-step costly mistakes faster, spot improvements quicker, and test more options sooner so you can make the right decision earlier in the game.

Click here to watch Simio CEO Dennis Pegden give a brief tutorial on modeling in Simio.

Simio's straightforward, drag-and-drop interface lets new users quickly and easily get a glimpse into the future of their designs. Simio breaks down the walls of traditional simulation software, giving you the power to rapidly build accurate 3d animated models and objectively analyze alternatives to make informed decisions faster.

In short, Simio's combination of superior flexibility and remarkable usability will let you quickly model your system without compromise.

Why Simulation?

Simulation is the process of creating an abstract representation (a model) to represent important aspects of the real world. Just as flight simulators have long been used to help expose pilots and designers to both routine and unexpected circumstances, simulation models can help you explore the behavior of your system under specified situations. Your simulation model can be used to explore changes and alternatives in a low risk environment.

Simulation has been successfully applied to many applications. Cost savings and/or cost avoidance in a typical simulation project are often 10 to 20 times the initial investment within four to six months of initial use.

What is a good simulation application?

• Systems where it is too expensive or risky to do live tests. Simulation provides an inexpensive, risk-free way to test changes ranging from a "simple" revision to an existing production line to emulation of a new control system or redesign of an entire supply chain.

• Large or complex systems for which change is being considered. A "best guess" is usually a poor substitute for an objective analysis. Simulation can accurately predict their behavior under changed conditions and reduce the risk of making a poor decision.

• Systems where predicting process variability is important. A spreadsheet analysis cannot capture the dynamic aspects of a system, aspects which can have a major impact on system performance. Simulation can help you understand how various components interact with each other and how they affect overall system performance.

• Systems where you have incomplete data. Simulation cannot invent data where it does not exist, but simulation does well at determining sensitivity to unknowns. A high-level model can help you explore alternatives. A more detailed model can help you identify the most important missing data.

• Systems where you need to communicate ideas. Development of a simulation helps participants better understand the system. Modern 3D animation and other tools promote communication and understanding across a wide audience.

To learn more about Simio, request a demo, or download a trial version of the software, visit www.simio.biz or email Simio directly.