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The model logic and animation is built as a single step. A Simio model looks like the real system. A model is built by combining objects that represent the physical components of the system. An object might be a machine, robot, airplane, customer, doctor, tank, bus, ship, or any other thing that you might encounter in your system. A beginning modeler may prefer to use pre-built objects from libraries, however the system is designed to make it easy for even beginning modelers to build their own intelligent objects for use in building hierarchical models. Objects can be stored in libraries and easily shared. The intelligent objects are built by modelers and then may be reused in multiple modeling projects. 2 SIMIO OBJECTS Simio is a simulation modeling framework based on intelligent objects. Hence, hierarchical modeling is very natural in Simio. Your model can then be placed as a sub-model within a higher-level model.

One of the powerful features of Simio is that whenever you build a model of a system, you can turn that model into an object definition by simply adding some input properties and an external view.

As you will see shortly, you can also modify and extend the Standard Library object behavior using process logic. You can also build your own libraries of objects that are customized for specific application areas. You can build your models using the objects provided in the Standard Object Library, which is a general purpose set of objects that comes standard with Simio. For example, a production line model is built by placing objects that represent machines, con-veyors, forklift trucks, aisles, etc. An object has its own custom behavior as defined by its internal model that responds to events in the system. Simio employs an object approach to modeling, whereby models are built by combining objects that represent the physical components of the systems. 1 SIMIO BASIC CONCEPTS The Simio modeling software lets you build and run dynamic 3D animated models of a wide range of systems – e.g., factories, supply chains, emergency departments, airports, and service systems. It then describes a few of the many recent enhancements and innovations including SMORE charts that allow unprecedented insight into your simulation output, sophisticated built-in experimentation that incorporates multi-processor support, optimization, and Risk-based Planning and Scheduling (RPS). This paper briefly describes Simio simulation software, a simulation modeling framework based on intelligent objects.

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