Fast simulation runtime
Any characteristic of the system under study using the model requires at least several simulation points. In practice, for a good (smoothed) characteristic, quite a few such points are needed.
For an acceptable error (for a given confidence interval), the number of entities (objects) in the simulation model should be large enough to run, especially for complex systems.
Therefore, the simulation software should work very fast (and, of course, correctly) so that you do not have to wait a few days to get the results.
Thus, for simulation software which is used for scientific research, the value of the simulation time is of utmost importance.
Why, in fact, simulation modeling is necessary while researching? It is used to obtain the characteristics of the system under study in the case when the analytical formula (exact or approximation) does not exist or when the formula is exist but computational complexity does not allow obtaining the result within a reasonable time.
In general, any characteristic after the simulation is represented by a data point of researched function. One simulation run brings in an only data point that cannot be used to describe a function. Even two data points can only describe a linear function. Since most functions are non-linear and often have a rather complex behavior, even a few data points basically describe a function incorrectly. Only a sufficiently large number of data points describes the function quite accurate (the curve in the graph will be smooth).
Provided that for characteristic of the system under study at least several simulation points are required, the reducing of simulation runtime is very important task. It has to be noticed also, that if the system is quite large, the simulation run takes much time for bringing the model to the steady state. Therefore for the case where a large number of simulation points must be received, the task of runtime minimization is prior.
The execution of the simulation model with OpenSIMPLY is quite fast. It is fast enough as for scientific research as well as for real time industrial system control.
Convenient data output
Scientific software should be able to output the results in the appropriate form with the required format for console and graphics applications. To obtain a number of simulation points for a different initial data of the model, a good solution is to launch the model repeatedly and accumulate the outputting data in some file.
The outputting routines of OpenSIMPLY provide flexible formatting for individual and structured data in forms convenient for GUI and console modes. Simulation results can be stored in databases using Delphi, Free Pascal, Lazarus features. Live simulation data can be visualized using diagrams or charts.
OpenSIMPLY is remote simulation ready. The simulation model can be executed on a remote computer with Samba or similar data transfer protocol. The model progress or visualization of specified parameters can be watched on local computer.
Discrete event simulation software
OpenSIMPLY is absolutely free. Try it. Free download
. Free use.