The software application for cargo transportation routes optimization | Научно-инновационный портал СФУ

The software application for cargo transportation routes optimization

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: 2020 International Conference on High-Tech and Innovations in Research and Manufacturing, HIRM 2020

Год издания: 2020

Идентификатор DOI: 10.1088/1742-6596/1582/1/012051

Аннотация: This article discusses the possibility of reducing logistics costs for transportation using the genetic algorithm for solving the Traveling Salesman problem. As a solution, it is proposed to develop an algorithm of actions for optimizing cargo transportation routes and to work out some points of the algorithm that will bring the result to the desired form. Based on this, the steps that are included in this algorithm, which was developed using an application using the Electron framework (JavaScript programming language), are analyzed. Based on the proposed algorithm, a practical situation is resolved and an optimal route is drawn up for orders of the courier organization. Such an application will improve the technical and operational performance of the enterprise, strengthen coordination of work and shippers, reduce transportation costs, use road transport more efficiently. © Published under licence by IOP Publishing Ltd.

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Издание

Журнал: Journal of Physics: Conference Series

Выпуск журнала: Vol. 1582, Is. 1

Номера страниц: 12051

ISSN журнала: 17426588

Издатель: Institute of Physics Publishing

Авторы

  • Kukartsev V.V. (Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy ave., Krasnoyarsk, 660037, Russian Federation, Siberian Federal University, 79 Svobodny ave., Krasnoyarsk, 660041, Russian Federation)
  • Tynchenko V.S. (Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy ave., Krasnoyarsk, 660037, Russian Federation, Siberian Federal University, 79 Svobodny ave., Krasnoyarsk, 660041, Russian Federation)
  • Mikhalev A.S. (Siberian Federal University, 79 Svobodny ave., Krasnoyarsk, 660041, Russian Federation)
  • Nozdrenko E.A. (Siberian Federal University, 79 Svobodny ave., Krasnoyarsk, 660041, Russian Federation)
  • Sokolovskiy N.V. (Siberian Federal University, 79 Svobodny ave., Krasnoyarsk, 660041, Russian Federation)
  • Rukosueva A.A. (Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy ave., Krasnoyarsk, 660037, Russian Federation)

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