Multi-objective optimization calculations to improve the efficiency of the fleet of agricultural moving power units

Abstract

BACKGROUND: Due to the fact that the development of one objective function for separate assessment of each agricultural machine used in the fleet seems insufficient to fully assess the efficiency of agricultural moving power units (MPU) in fleet, a multi-objective formulation of the problem was applied using the previously developed MOVI 1.4 hardware and software system and the development of computer programs to carry out the optimization calculations of the efficiency of the agricultural moving power units in fleet with the example of a specific farm. AIM: Development of software tools for carrying out multi-objective optimization calculations in order to increase the efficiency of the MPU fleet in the context of digitalization of agriculture. METHODS: The analysis is based on the search of scientific publications, scientific papers and other sources of information on the development of research and experimental design work on the creation of intelligent transport and technical means and the improvement of methodology and software for multi-objective optimization calculations of the efficiency of the MPU fleet. Methods of scientific generalization and statistical processing of available information and analytical materials from domestic and foreign sources were also used. RESULTS: To calculate the values of quality criteria for the MPU fleet, the Pascal-based interface subprogram for the MOVI 1.4, adequate for carrying out calculations based on mathematical models of objectives at trial points, was developed. After introducing the functional and criterion limits, the admissible set and the set of Pareto-optimal solutions were obtained, and correlation graphs between quality criteria were constructed. The scientific novelty lies in the development of computer programs for multi-objective justification of the efficiency of the MPU fleet. CONCLUSION: The practical value lies in the fact that the developed mathematical and software tools can be successfully used for multi-objective optimization of the efficiency of the MPU fleet using the example of specific agricultural organizations, regions or the country as a whole.