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

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

Open Access
|Feb 2016

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.

DOI: https://doi.org/10.1515/forj-2015-0029 | Journal eISSN: 2454-0358 | Journal ISSN: 2454-034X
Language: English
Page range: 211 - 220
Published on: Feb 29, 2016
Published by: National Forest Centre and Czech University of Life Sciences in Prague, Faculty of Forestry and Wood Sciences
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2016 Ilya Shegelman, Pavel Budnik, Evsey Morozov, published by National Forest Centre and Czech University of Life Sciences in Prague, Faculty of Forestry and Wood Sciences
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.