NETWORK PLANNING OF THE TECHNOLOGICAL CHAIN FOR TIMBER LAND DEVELOPMENT

  • Konstantin Rukomojnikov Volga State University of Technology, Institute of Forest and Nature Management, Forestry and chemical technologies, Yoshkar-Ola, Russian Federation https://orcid.org/0000-0002-9956-5081
  • Aleksandr Mokhirev Reshetnev Siberian State University of Science and Technology, Lesosibirsk Branch, Department Of technology of logging and wood processing industries, Lesosibirsk, Russian Federation
  • Albert Burgonutdinov Perm National Research Polytechnic University, Faculty of Construction, Roads and bridges building department, Perm, Russian Federation
  • Olga Kunickaya University Arctic state agrotechnological University, Forestry and Land Management Faculty, Department of Technology and equipment of the forest complex Yakutsk, Russian Federation
  • Roman Voronov Petrozavodsk State University, Institute of Mathematics and Information Technology, Department of Applied Mathematics and Cybernetics, Petrozavodsk, Russian Federation
  • Igor Grigorev University Arctic state agrotechnological University, Forestry and Land Management Faculty, Department of Technology and equipment of the forest complex Yakutsk, Russian Federation
Keywords: logging, management decisions, wood removal, technological chain

Abstract


Making managerial decisions when choosing a variant of the technological chain for logging is complicated by the variety of natural and climatic conditions. The climatic features of the periods affect the productivity of technological machines and the cost of implementation. This research suggests using network planning to determine the technological chain of timber land development. The purpose of the research is construction of multi-purpose network models for planning the technological chain of logging operations in various production conditions of forestry enterprises operation. These models are aimed at making it possible to conduct calculations to increase the efficiency of labour, materials, funds, equipment distribution with the maximum reduction in the cost of logged products. As a result of the analysis of possible options for technological chains, several network models for the implementation of logging technological processes have been built.

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Published
2021/02/01
Section
Original Scientific Paper