Algorithmic and Software Program for Determining the Labor Intensity of One-Season Maintenance of Tractors-Reference-Cited by-同舟云学术

Algorithmic and Software Program for Determining the Labor Intensity of One-Season Maintenance of Tractors

Published:2023-09-28 Issue:3 Volume:5 Page:266-274
ISSN:2713-1734
Container-title:System Analysis & Mathematical Modeling
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Author:

Polkovskaya Marina¹,Khabardin Vasily¹

Affiliation:

1. Irkutsk State Agricultural University named after A.A. Ezhevsky

Abstract

The paper describes a program for calculating the total specific labor intensity of tractor maintenance during their one-season use. The mathematical support of the program is represented by models that allow, based on data on the seasonal operation of tractors, to calculate the total specific labor intensity of maintenance. In the algorithmic support, the main stages of calculating the indicator under study are formulated. The user interface of the program is created in the form of a form using the Visual Basic for Applications programming language. In addition to the labor intensity itself, the program calculates statistical parameters, upper limits of seasonal operating time and probabilities of intervals. The proposed program can be used to calculate the total specific labor intensity of maintenance not only for tractors, but also for other machines used in agricultural production.

Publisher

Baikal State University

Reference10 articles.

1. Mishina Z.N. Engineering Status-Technical Support of Agricultural Production of Russia. Trudy GOSNITI = Works of GOSNITI, 2018, vol. 130, pp. 12–19. (In Russian). EDN: YVGMVR.

2. Puchin E.A. Methodological bases for the development and implementation of resource-saving technologies for the maintenance of agricultural machinery. Doct. Diss. Thesis. Moscow, 1998. 46 p.

3. Mishina Z.N. Technical Support of Agricultural Machinery Throughout the whole Life Cycle of Machines. Tekhnika i oborudovanie dlya sela = Machinery and Equipment for Rural Area, 2018, no. 5, pp. 41–43. (In Russian). EDN: UQBYBD.

4. Khatuntsev V.V., Dukhanin S.E., Averin O.R. Analysis of Methods for Determining the Inter-Repair Period of Agricultural Equipment. Nauka i obrazovanie = Science and Education, 2019, vol. 2, no. 4, pp. 284. (In Russian). EDN: AVVVLT.

5. Myalo O.V., Myalo V.V., Prokopov S.P., Solomkin A.P., Soynov A.S. Theoretical Substantiation of Machine-Tractor Fleet Technical Maintenance System on the Example of Omsk Region Agricultural Enterprises. Journal of Physics: Conference Series, 2018, vol. 1059, pp. 012005. EDN: PAWEFD. DOI: 10.1088/1742-6596/1059/1/012005.