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:  100
:   ,
:  2022
:   .., .. // . 100. .: , 2022. .261-274. DOI: https://doi.org/10.25728/ubs.2022.100.12
:   , , ,
(.):  random variable intensity, numerical simulation, discussion of simulation optimization, search for the optimal simulation step
:   . - . , // . , . , . . -- , .
(.):  It is not always possible to determine the characteristics of the system under study by theoretical methods in queuing theory and related areas. Therefore, it is important to be able to model the behavior of such complex systems with the help of computers. To do this, one must be able to model random variables corresponding to periods of work / repair / waiting, etc. In complex technical systems, these periods essentially depend on the behavior of the system components, while their distributions can change already during the operation of such periods. Such behavior of the system can be described using variable intensities of distributions (hazard functions), and modeling of such random variables is impossible by classical methods. Previously, the authors considered a new approach to modeling random variables with a variable intensity unknown in advance. The quality of such modeling is analyzed and the issue of optimizing the modeling procedure is solved in the presented work -- so far for the case when the intensity of the simulated distribution does not turn to zero.

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