Mathematical model of optimization of parameters of production processes of machines for forestry works

Abstract

The article deals with the study of optimization of parameters of production processes of machines for forestry operations. Experimental planning and optimization methods are suitable for computer modeling of production processes of machines for forestry operations. For most of them, it is impossible or impractical to repeatedly conduct full-scale experiments, but a computational experiment can be implemented at the points of the plan. A mathematical model must first be formed that allows, for given combinations of values of the control factors selected at the planning stage of the experiment, to obtain the value of the response function. Then, statistical methods can be used to build a regression model that can be used to plan and study the production process. In particular, it becomes possible to find process parameters that correspond to response function values that are close to optimal. Mathematical models that describe the main parameters of the forestry process based on the connection of additional equipment at "lagging" operations. The task of assessing the efficiency of the forestry workflow arises.