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<p>The modern technological process of timber harvesting is a complex system both technically and organizationally. Nowadays, the study of such systems and improvement of their efficiency is impossible without the use of mathematical modeling methods. The paper presents the methodology for the optimization of logging operations based on the queueing theory. We show the adapted queueing model, which characterizes the process of logging with the use of a harvesting set consisting of harvesters and forwarders. We also present the experimental verification of the designated model that confirmed mode’s adequacy. The analysis of the effectiveness of the investigated harvesting set was conducted and the recommendations for its optimization were drawn. The research was conducted in the Pryazhinsky District in the Republic of Karelia. We showed that significant improvement of operational efficiency of the investigated harvesting set in the study area cannot be done by adjusting separate machine operations (i.e. by reducing the time of operations execution and their steadiness). However, a change in the number of machines allowed significant improvement in the operational efficiency. The most optimal harvesting set design for the experimental area consisted of two harvesters and two forwarders.</p>
</abstract>

The modern technological process of timber harvesting is a complex system both technically and organizationally. Nowadays, the study of such systems and improvement of their efficiency is impossible without the use of mathematical modeling methods. The paper presents the methodology for the optimization of logging operations based on the queueing theory. We show the adapted queueing model, which characterizes the process of logging with the use of a harvesting set consisting of harvesters and forwarders. We also present the experimental verification of the designated model that confirmed mode’s adequacy. The analysis of the effectiveness of the investigated harvesting set was conducted and the recommendations for its optimization were drawn. The research was conducted in the Pryazhinsky District in the Republic of Karelia. We showed that significant improvement of operational efficiency of the investigated harvesting set in the study area cannot be done by adjusting separate machine operations (i.e. by reducing the time of operations execution and their steadiness). However, a change in the number of machines allowed significant improvement in the operational efficiency. The most optimal harvesting set design for the experimental area consisted of two harvesters and two forwarders.

Optimization of a forest harvesting set based on the Queueing Theory: Case study from Karelia

Petrozavodsk State University, Lenin Str., 33, 185910 Petrozavodsk, The Republic of Karelia, Russia

Institute of Applied Mathematical Research of Karelian Research Centre, Russian Academy of Sciences, Pushkinskaya str., 11 185910 Petrozavodsk, The Republic of Karelia, Russia

Central European Forestry Journal

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

The modern technological process of timber harvesting is a complex system both technically and organizationally. Nowadays, the study of such systems and...

Optimization of a forest harvesting set based on the Queueing Theory: Case study from Karelia

Data publikacji: 29 lut 2016

Zakres stron: 211 - 220

DOI: https://doi.org/10.1515/forj-2015-0029

Słowa kluczowe
queueing theory, harvester, forwarder, harvesting set, moddeling

© 2015 Ilya Shegelman et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Optimization of a forest harvesting set based on the Queueing Theory: Case study from Karelia

Data publikacji: 29 lut 2016

Zakres stron: 211 - 220

DOI: https://doi.org/10.1515/forj-2015-0029

Słowa kluczowequeueing theory, harvester, forwarder, harvesting set, moddeling

© 2015 Ilya Shegelman et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Słowa kluczowe
queueing theory, harvester, forwarder, harvesting set, moddeling