Simulation modeling of the machine and tractor fleet to improve the technical base of the agro-industrial complex

Abstract

Modernization of the technical base of the agro-industrial base of the agro-industrial complex should be based on a scientific approach and the use of modern tools. In the article, the authors consider the possibilities of simulation modeling as an addition to the implementation of the task of optimizing the composition of the machine and tractor fleet, for example, to smooth out the peaks of loading of agricultural aggregates. The advantage of simulation models is the possibility of taking into account a large number of factors, the use of nonlinear dependencies between variables, its numerous runs when varying parameters, determining the degree of influence of predicted deviations of production conditions on the value of resource potential at the basic values of the system parameters. This provides estimates of the stability of these parameters and their adequacy to the functioning environment. The authors highlighted the advantages of using simulation modeling tools in the modernization and formation of an optimal agricultural machinery and tractor fleet of an agricultural organization. Modern software products can be divided according to the type of simulation model implementation: system dynamics, discrete-event and agent modeling. When considering the general requirements for the simulation model of the formation of a machine and tractor fleet, special attention is paid to verification. This implies the process of verifying the use of the formed composition of equipment by means of running a simulation model. Adequacy, integrity, informativeness, simplicity, scalability are the main requirements for the simulation model. The authors have identified the input and output parameters of the run of the simulation model of the formation of a machine and tractor fleet. Verification guarantees that the model is checked for compliance with the general requirements for a set of machines. Running the simulation model will allow you to adjust the production plan depending on the technological and technical availability, as well as the selected level of production intensification.