MULTI-CRITERIA EVALUATION OF LOGGING TRACTOR TECHNOLOGICAL EQUIPMENT
Abstract
The article addresses the scientific problem of substantiating the parameters of logging tractor technological equipment for selective thinning and forest health improvement cuttings in lowland conditions. The authors implemented the EDAS (Evaluation based on Distance from Average Solution) method in an interval neutrosophic representation, which accounts for the degrees of truth, indeterminacy, and falsity of expert data. Using a rank sum method, weight coefficients were determined for 20 operational parameters, with the traction force utilization coefficient and specific energy consumption identified as priorities. A comparative analysis of four technological equipment alternatives (A1-A4) was conducted. Simulation results and sensitivity analysis (weight variation ±20%) confirmed the stability of the ranking, identifying the electro-hydraulic drive with an adaptive cable tension control system as the most effective (AS = 0.872). Implementation of the proposed methodology allows for a reduction in specific fuel consumption by 12-17% and a decrease in soil disturbance by up to 20%.
References
2. Deyneka M., Hobela V., Bakay B. Current State and Prospects for the Development of Technologies and Equipment for Timber Harvesting in Ukraine. Book of Abstracts: Proceedings of the 57th International Symposium of Forest Mechanization (FORMEC), Joensuu, 9–13 June 2025. Joensuu : University of Eastern Finland, 2025. Reports and Studies in Science, Forestry and Technology, 9. P. 283. URL: https://erepo.uef.fi/handle/123456789/35095
3. Loveikin V., Romasevych Y., Bakay B., Rudko I., Radiak I. Modelling and Dynamic Analysis of an Integrated Hydraulic Forest Crane-Winch System for Timber Extraction // FME Transactions. – 2025. – Vol. 53, No. 4. – P. 625–638. – DOI: https://doi.org/10.5937/fme2504625L
4. Keshavarz-Ghorabaee M. Extended EDAS Method for Fuzzy Multi-criteria Decision-making: An Application to Supplier Selection / M. Keshavarz-Ghorabaee, E. K. Zavadskas, M. Amiri, Z. Turskis // International Journal of Computers Communications & Control. – 2016. – Vol. 11, No. 3. – P. 358–371. DOI: https://doi.org/10.15837/ijccc.2016.3.2557

