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DOI: 10.15507/2658-4123.036.202602.262-276

UDK 62-18:004.8

 

The Factor Space Structure as a Scientific and Methodological Basis for Substantiating the System of Differentiation of Machines

 

Mikhail E. Chaplygin
Cand.Sci. (Eng.), Leading Researcher, Head of the Laboratory Technologies and Machines for Sowing and Harvesting Grain and Seeds, Federal Scientific Agroengineering Center VIM (5 1st Institutsky Passage, Moscow 109428, Russian Federation), ORCID: https://orcid.org/0000-0003-0031-6868, Researcher ID: AAZ-6056-2020, Scopus ID: 57211741695, SPIN-код: 2268-6927, This email address is being protected from spambots. You need JavaScript enabled to view it.

 

Abstract
Introduction. An essential component of the program for the modernization of the agroindustrial complex is the development of a federal system of technologies and machines for crop production aimed at ensuring the technological sovereignty and economic development of the country. Taking into account the experience of applying modern trends of technological progress in the agro-industrial complex, there should be proposed the requirements for agricultural machinery in a certain factor space. In the proposed factor space structure, a person is a developer of conditions and requirements for ensuring highly efficient technological and technical support of agricultural production.
Aim of the Study. The study is aimed at analyzing scientific and methodological approaches and proposing an algorithm for creating the factor space structure in substantiating the differentiation system of machines for the development of innovative technical facilities and production processes in the agro-industrial complex.
Materials and Methods. The functionally dependent block-factors were substantiated using the structural and functional analyses. The solution of the tasks of planning the optimal machine and tractor fleet for agricultural enterprises is based on using the methods of optimization and systematic approaches.
Results. There has been proposed the factor space structure to characterize the differentiation of machines. There have been introduced and substantiated additional blockfactors, which have their own purpose, content and output indicators: Development strategy; the equipment user requirements; agricultural environment and background; complex of machines; working bodies; power supply; intelligent control technologies; predictive technologies; qualified personnel; machine and tractor fleet of enterprises. The proposed algorithm is shown by the example of the development of a plot combine for harvesting breeding plots.
Discussion and Conclusion. The block-factors are interrelated and differ in the degree of their significance, which is accepted as the initial information. Each component of the proposed algorithm for creating the factor space structure was considered in accordance with the requirements of the Strategy for achieving food security indicators in the Russian Federation. The presented study continues the discussion about the selection and assessment of prospective directions for improving the methods of substantiating the machine system including territorial features. The proposed structure is universal and allows solving general industrial scientific problems of complex multifactorial character taking into account modern technologies and designs and using achievements in the field of digitalization, robotics and artificial intelligence.

Keywords: factor space structure, intelligent system, predictive technologies, database, machine complexes, machine parameters, agricultural environment

Conflict of interest: The author declares that there is no conflict of interest.

For citation: Chaplygin M.E. The Factor Space Structure as a Scientific and Methodological Basis for Substantiating the System of Differentiation of Machines. Engineering Technologies and Systems. 2026;36(2):262–276. https://doi.org/10.15507/2658-4123.26362.262-276

The author has read and approved the final manuscript.

Submitted 16.02.2026;
revised 19.03.2026;
accepted 26.03.2026

 

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