Optimization of Selection and Use of a Machine and Tractor Fleet in Agricultural Enterprises: A Case Study

Author:

Efremov Andrei A.1,Sotskov Yuri N.2ORCID,Belotzkaya Yulia S.1

Affiliation:

1. Department of Economic Informatics, Belarusian State University of Informatics and Radioelectronics, 6 Brovki Street, 220013 Minsk, Belarus

2. United Institute of Informatics Problems of the National Academy of Sciences of Belarus, 6 Surganov Street, 220012 Minsk, Belarus

Abstract

This article presents a realized application of a model and algorithm to optimize the formation and use of a machine and tractor fleet of an agricultural enterprise in crop farming. The concepts and indicators characterizing the processes of agricultural operations of the machine fleet in the agrarian business are considered. A classification of approaches for optimizing the implementation of a complex of mechanized agro-technical operations is given. We systemize different views on the problems under study and possible solutions. The advantages of the proposed model and algorithm, as well as the problematic aspects of their information and instrumental support are discussed. The problem of choosing the optimality criterion when setting the formal problem of optimizing agricultural operations by a fleet of machines in the agricultural field is considered. A modification of the economic and mathematical model for optimizing the structure and production schedules of the machine and tractor fleet is developed. The model is applied in a numerical experiment using real data of a specific agricultural enterprise, and the economic interpretation of the results is discussed. We apply an approach for determining the economic effect of the use of the developed model and algorithm. The possibilities for practical application of the obtained results of the study are substantiated.

Funder

Belarusian Republican Foundation for Fundamental Research

Publisher

MDPI AG

Subject

Computational Mathematics,Computational Theory and Mathematics,Numerical Analysis,Theoretical Computer Science

Reference23 articles.

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