Most simulation tools available on the market today provide an interface to allow for model creation, a simulation engine, and a post-simulation analysis tool. The user interface is setup as either a pure coding environment, or a visual interface that creates code in the background, either way, coding is required to do any type of useful modeling. After the code is built and compiled, the simulation engine would run for a set amount of time after which the user is presented with the data to be either animated or charted.

Because variability is a key feature of all call centers, it needs to be taken into account when creating a model of a call center. In order to account for the variability within the call center, Simcad Pro allows users to import historical data from external data sources, as well as the ability to utilize live data to keep systems up-to-date.

Automation Technologies Industries (ATI), a leader in factory automation, takes advantage of Simcad to demonstrate solution feasibility of a new conveyor line implementation for a major automotive manufacturer. The total value of this project will exceed $1.8 Million - we now have the contract and purchase order.

Monte Carlo simulations can be used to study the variability of the model and determine the model behavior boundaries along with the expected performance. In simulation models that contain variable failure rates, variable processing rates at each stations, and variable inputs, Monte Carlo simulation runs can be a tremendous asset to any organization in order to understand the intricate behavior of the model environment. Simcad Pro created models benefit from the fact that Simcad Pro integrates all the tools required to run and analyze Monte Carlo simulations quickly and effectively. Coupled with the patented On-the-fly dynamic model updates, Simcad Pro provides an unprecedented simulation environment unmatched in the industry.