iipp publishingJournal of Applied Engineering Science


DOI: 10.5937/jaes16-18842
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Volume 16 article 565 pages: 565- 569

Marija Olegovna Pozdnyakova 
Lesosibirsk Branch of Reshetnev Siberian State University of Science and Technology Lesosibirsk, Russian Federation

Aleksandr Petrovich Mokhirev
Lesosibirsk Branch of Reshetnev Siberian State University of Science and Technology Lesosibirsk, Russian Federation

Tatyana Georgievna Ryabova
Lesosibirsk Branch of Reshetnev Siberian State University of Science and Technology Lesosibirsk, Russian Federation

The purpose of the work is to develop technological measures that make it possible to increase the availability of wood resources in a certain area of the forest reserves with the minimum expenditure of resources (financial, labor, material). The results of research of theoretical and methodical bases of availability of wood resources have been provided; the following five key types have been identified: ecological, transport, technical, technological and economic availability. On the basis of factor analysis of wood availability, the following technological measures aimed at the most effective wood availability management have been developed: the involvement of wood waste in the production process of an enterprise with the purpose of additional products manufacture; selection of the optimal system of logging machines; selection of the optimal route for wood raw materials transportation using the minimum cost method. For approbation of the developed measures, the Gremuchinskoe logging site of the Novoyeniseiskiy Wood-Chemical Complex CJSC, located in Krasnoyarsk Territory, was selected. The average annual volume of raw materials harvested for sawing in this area is 240,000 m3. The primary assessment of the availability of wood raw materials showed that more than 66% of the total stock of raw materials (by volume) in the specified area is unavailable for efficient industrial development. The introduction of the developed measures allowed reducing this indicator to the level of 23.84%.

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The reported study was funded by Russian Foundation for Basic Research, Government of Krasnoyarsk Territory, Krasnoyarsk Regional Fund of Science, to the research project: «Research and modeling of economic development of the forest industry in the region in the context of climatic conditions and resource potential», grant № 18-410-240003

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