Modeling and solving the transportation problem using computer analysis in the formation of professional competencies of logistics specialists
- Authors: Dobudko T.V.1, Makarov S.I.2, Pugach O.I.1
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Affiliations:
- Samara State University of Social Sciences and Education
- Samara State University of Economics
- Issue: Vol 15, No 1 (2026)
- Pages: 177-181
- Section: Pedagogical Sciences
- URL: https://snv63.ru/2309-4370/article/view/705959
- DOI: https://doi.org/10.55355/snv2026151305
- ID: 705959
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Abstract
The relevance of this study stems from the active introduction of information and communication technologies into the educational environment of educational institutions, as well as practice-oriented approaches to developing professional competencies in future specialists in the fields of marketing and logistics. The study of economic disciplines at universities requires quantitative analysis of business processes, which will help identify patterns in these processes, manage them, and make forecasts using mathematical modeling. All this necessitates improving the activities of university instructors related to their implementation – the use of electronic educational resources in the educational process that develop the necessary competencies in students at economics universities. This article examines one aspect of the mathematical training of future economists: developing the skill of solving and economically analyzing a basic linear programming problem – the transportation problem. A technology for studying the solution of the transportation problem is proposed using an electronic educational resource containing all the necessary tools: a theoretical framework, case studies of problem solutions in basic situations, independent solutions with interactive support, and testing materials on this topic. The results of this study can be used in the educational activities of educators developing mathematical competencies in specialists in the fields of marketing, business analytics, business logistics, business informatics, and many other fields.
About the authors
Tatiana Valeryanovna Dobudko
Samara State University of Social Sciences and Education
Email: tdobudko@mail.ru
doctor of pedagogical sciences, professor, head of Computer Science, Applied Mathematics and Teaching Methods Department
Russian Federation, SamaraSergey Ivanovich Makarov
Samara State University of Economics
Email: matmaksi@yandex.ru
doctor of pedagogical sciences, professor of Statistics and Econometrics Department
Russian Federation, SamaraOlga Isaakovna Pugach
Samara State University of Social Sciences and Education
Author for correspondence.
Email: olpugach@yandex.ru
candidate of pedagogical sciences, associate professor of Computer Science, Applied Mathematics and Teaching Methods Department
Russian Federation, SamaraReferences
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