Once the model is built, it is necessary to ascertain its quality. To this end, perform a variety of operations, namely: implementing the adequacy process model, object or phenomenon, for which it is built, checking the consistency of the model, uncertainty, sensitivity, realism and performance. Checking the adequacy of models Check adequacy of the model means to determine how well the model describes the real processes occurring in the system, how well it will predict the development of these processes. Checking model adequacy conducted on the basis of some experimental data obtained during system operation or during a special experiment, in which there are interested in a systems analyst processes. Checking the adequacy of the model is a proof of the fact that the accuracy of the results obtained with the model will be no worse than the accuracy of calculations made on the basis of experimental data.

Consistency of the model The purpose of this phase is to verify the facts: does the model do not contradict the logic of the results by varying the values most important parameters, especially in cases where their values are close to extreme. To answer this question, we must examine the nature of the reaction model to changes in the relevant input parameters. To check the consistency of the model in first analyze what results gives a model with zero input parameters, including at time zero, then investigate the state of the model on the boundary of the definition of input parameters, for example, at infinity if it is in the domain..