OPTIMIZATION OF LOGGING LOGISTICS USING ROUTE PLANNING ALGORITHMS

Fedorov V.; Esipova I. S.

doi:doi:10.58168/Forestry2025_685-689

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OPTIMIZATION OF LOGGING LOGISTICS USING ROUTE PLANNING ALGORITHMS

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OPTIMIZATION OF LOGGING LOGISTICS USING ROUTE PLANNING ALGORITHMS

Section: SECTION 4. FOREST ENGINEERING: NEW CONCEPTS AND TECHNOLOGIES

Proceedings: FORESTRY IN THE CONTEXT OF GLOBAL CHALLENGES: NEW PARADIGMS OF SUSTAINABLE DEVELOPMENT. FORESTRY - 2025 : MATERIALS OF THE INTERNATIONAL FORESTRY FORUM, DEDICATED TO THE CELEBRATION OF THE 95TH NNIVERSARY OF VSUFT, VORONEZH, SEPTEMBER 30TH, 2025

UDC 630 UDC 004.9

Fedorov V. ¹

Esipova I. S. ²

Author and publication information

Authors:

1. Voronezh State University of Forestry and Technologies named after G.F. Morozov
Russian Federation

2. Voronezh State University of Forestry and Technologies named after G.F. Morozov

Type:

Сonference article

DOI:

https://doi.org/10.58168/Forestry2025_685-689

Pages:

from 685 to 689

Published:

27.11.2025

Subject area:

UDC 630
UDC 004.9

Language:

Russian

Keywords:

logistics optimization, logging, skidding, graph theory, vehicle routing problem (VRP), genetic algorithms, environmental safety, GIS systems

Abstract and keywords

Abstract (English):
The article analyzes the application of algorithmic methods for optimizing logistics in the logging industry. The use of graph models and modifications of the TSP and VRP problems, combined with metaheuristics (genetic algorithms, ant colony method), makes it possible to reduce vehicle mileage by 15–25%, thereby decreasing fuel consumption and emissions. GIS systems provide route visualization, while the overall approach enhances economic efficiency and reduces the ecological impact.

Keywords:
logistics optimization, logging, skidding, graph theory, vehicle routing problem (VRP), genetic algorithms, environmental safety, GIS systems

References

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