Optimal Planning of Wood Harvesting and Timber Supply in Russian Conditions
This paper describes an approach to the optimal planning of wood harvesting and timber supply for forest companies of Russia. Software and tools successfully used in other countries (e.g., Finland, Sweden, Canada, etc.) are not as effective in Russian conditions for a number of reasons. This calls f...
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2020
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Online Access: | https://doi.org/10.3390/f11060662 https://doaj.org/article/25f6e8aa7004473ba1c9f579be0be544 |
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ftdoajarticles:oai:doaj.org/article:25f6e8aa7004473ba1c9f579be0be544 2023-05-15T17:00:21+02:00 Optimal Planning of Wood Harvesting and Timber Supply in Russian Conditions Anton Shabaev Anton Sokolov Alexander Urban Dmitry Pyatin 2020-06-01T00:00:00Z https://doi.org/10.3390/f11060662 https://doaj.org/article/25f6e8aa7004473ba1c9f579be0be544 EN eng MDPI AG https://www.mdpi.com/1999-4907/11/6/662 https://doaj.org/toc/1999-4907 doi:10.3390/f11060662 1999-4907 https://doaj.org/article/25f6e8aa7004473ba1c9f579be0be544 Forests, Vol 11, Iss 662, p 662 (2020) wood harvesting timber supply decision-support system optimization multicriteria Boolean nonlinear programming block linear programming Plant ecology QK900-989 article 2020 ftdoajarticles https://doi.org/10.3390/f11060662 2022-12-31T06:50:12Z This paper describes an approach to the optimal planning of wood harvesting and timber supply for forest companies of Russia. Software and tools successfully used in other countries (e.g., Finland, Sweden, Canada, etc.) are not as effective in Russian conditions for a number of reasons. This calls for the development of an original approach to solve this problem with respect to Russia's specific conditions. The main factors affecting the operation of wood harvesting companies in Russia were determined. The optimization problem was formulated taking into account all important features of wood harvesting specific to the country. The mathematical model of the problem was formulated and analyzed. An important requirement is that the solution algorithm should find high-quality plans within short computation times. The original problem was reduced to a block linear programming problem of large dimension, for which an effective numerical solution method was proposed. It is based on the multiplicative simplex method with column generation within Dantzig–Wolfe decomposition and uses heuristics to determine feasible solutions based on the branch and bound method. We tested the solution approach on real production data from a forest company in southern Karelia with a planning horizon up to a year. This case study involved 198 sites and 14 machines harvesting up to 200,000 cubic meters from an available stock volume of about 300,000 cubic meters. An increase in profit by 5% to 10% was observed, measured as revenue from the sale of products, net of harvesting and transportation costs. Article in Journal/Newspaper karelia* karelia* Directory of Open Access Journals: DOAJ Articles Canada Forests 11 6 662 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
wood harvesting timber supply decision-support system optimization multicriteria Boolean nonlinear programming block linear programming Plant ecology QK900-989 |
spellingShingle |
wood harvesting timber supply decision-support system optimization multicriteria Boolean nonlinear programming block linear programming Plant ecology QK900-989 Anton Shabaev Anton Sokolov Alexander Urban Dmitry Pyatin Optimal Planning of Wood Harvesting and Timber Supply in Russian Conditions |
topic_facet |
wood harvesting timber supply decision-support system optimization multicriteria Boolean nonlinear programming block linear programming Plant ecology QK900-989 |
description |
This paper describes an approach to the optimal planning of wood harvesting and timber supply for forest companies of Russia. Software and tools successfully used in other countries (e.g., Finland, Sweden, Canada, etc.) are not as effective in Russian conditions for a number of reasons. This calls for the development of an original approach to solve this problem with respect to Russia's specific conditions. The main factors affecting the operation of wood harvesting companies in Russia were determined. The optimization problem was formulated taking into account all important features of wood harvesting specific to the country. The mathematical model of the problem was formulated and analyzed. An important requirement is that the solution algorithm should find high-quality plans within short computation times. The original problem was reduced to a block linear programming problem of large dimension, for which an effective numerical solution method was proposed. It is based on the multiplicative simplex method with column generation within Dantzig–Wolfe decomposition and uses heuristics to determine feasible solutions based on the branch and bound method. We tested the solution approach on real production data from a forest company in southern Karelia with a planning horizon up to a year. This case study involved 198 sites and 14 machines harvesting up to 200,000 cubic meters from an available stock volume of about 300,000 cubic meters. An increase in profit by 5% to 10% was observed, measured as revenue from the sale of products, net of harvesting and transportation costs. |
format |
Article in Journal/Newspaper |
author |
Anton Shabaev Anton Sokolov Alexander Urban Dmitry Pyatin |
author_facet |
Anton Shabaev Anton Sokolov Alexander Urban Dmitry Pyatin |
author_sort |
Anton Shabaev |
title |
Optimal Planning of Wood Harvesting and Timber Supply in Russian Conditions |
title_short |
Optimal Planning of Wood Harvesting and Timber Supply in Russian Conditions |
title_full |
Optimal Planning of Wood Harvesting and Timber Supply in Russian Conditions |
title_fullStr |
Optimal Planning of Wood Harvesting and Timber Supply in Russian Conditions |
title_full_unstemmed |
Optimal Planning of Wood Harvesting and Timber Supply in Russian Conditions |
title_sort |
optimal planning of wood harvesting and timber supply in russian conditions |
publisher |
MDPI AG |
publishDate |
2020 |
url |
https://doi.org/10.3390/f11060662 https://doaj.org/article/25f6e8aa7004473ba1c9f579be0be544 |
geographic |
Canada |
geographic_facet |
Canada |
genre |
karelia* karelia* |
genre_facet |
karelia* karelia* |
op_source |
Forests, Vol 11, Iss 662, p 662 (2020) |
op_relation |
https://www.mdpi.com/1999-4907/11/6/662 https://doaj.org/toc/1999-4907 doi:10.3390/f11060662 1999-4907 https://doaj.org/article/25f6e8aa7004473ba1c9f579be0be544 |
op_doi |
https://doi.org/10.3390/f11060662 |
container_title |
Forests |
container_volume |
11 |
container_issue |
6 |
container_start_page |
662 |
_version_ |
1766053005365346304 |