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Värde- eller volymoptimering av sidobräder
RISE Research Institutes of Sweden, Built Environment, Building and Real Estate.ORCID iD: 0009-0009-6865-0580
RISE Research Institutes of Sweden, Built Environment, Building and Real Estate.ORCID iD: 0000-0002-7945-7518
2022 (Swedish)Report (Other academic)
Abstract [en]

With the help of the saw simulation program Saw2010, and the Swedish stem bank, a simulated sawing of 1288 logs has been performed, after which planks and boards have been quality-determined according to Nordic Wood (the Blue Book) and evaluated. After a large number of simulations on boards and planks of pine and spruce, it can be stated that value optimization gives a higher value yield than volume optimization in all three realistic price situations tested. The total value varies between price ranges and types of wood but is stably better on all runs with value optimization compared with volume optimization. The result is described as the total value increase in percent for all products in each run. A total of three runs were made in pine and three in spruce with respectively low, intermediate, and high prize level. The highest increase in value for edging with value optimization, compared with volume optimization, is found in both pine and spruce in the lowest price level, 5.1% and 5.0%, respectively. At the intermediate price level, the increase in value is 4.2% for pine and 3.3% for spruce. The highest price level gave a value increase of 3.0% for pine and 1.8% for spruce in value optimization compared with volume optimization. Simulations with changed quality parameters were also performed. One simulation was performed with a smaller permitted wane and one with larger permitted knots on the flat face compared to Nordic Wood. Also, these simulations showed clearly increased value in value optimization compared with volume optimization.

Place, publisher, year, edition, pages
2022. , p. 15
Series
RISE Rapport ; 2022:16
Keywords [en]
optimization, side boards, value yield, volume yield
National Category
Wood Science
Identifiers
URN: urn:nbn:se:ri:diva-58493ISBN: 978-91-89561-31-1 (electronic)OAI: oai:DiVA.org:ri-58493DiVA, id: diva2:1635921
Available from: 2022-02-08 Created: 2022-02-08 Last updated: 2024-05-22Bibliographically approved

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Funk, PeterLycken, Anders

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CiteExportLink to record
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Citation style
  • apa
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  • de-DE
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Output format
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