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Tracking optimal bucking Public Deposited

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https://ir.library.oregonstate.edu/concern/graduate_projects/5d86p492n

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  • Recent developments in handheld computers now make it possible to improve log value recovery by bucking (cross cutting) a tree into log lengths that maximize its value. The use of a handheld computer allows these decisions to be made at the stump for each individual tree. One program developed for this use is BUCK (Sessions et al. 1988), a single tree value optimizing program that specifies the length of logs to manufacture and which mill the logs should be shipped to give the greatest return. This study will determine if using BUCK has an impact on the time it takes to crosscut a tree. Previous studies using BUCK have not investigated this, they focused on determining the increase in time required to measure the tree. This will be accomplished by regression analysis on data from a detailed time study of a falling operation using BUCK. Additionally, this is the first time that trees were cut using the BUCK recommended solution. Therefore, a quality "audit" on BUCK can be made in this study. A comparison will be made between values assigned to logs by BUCK and values assigned when scaled. From this a determination of the expected accuracy of BUCK can be estimated. The final part of this study will be general observations from a implementation trial. BUCK will be used in a commercial operation by a commercial faller as if this was his normal method of operation. One goal is to discover how using the computer 1 affects the faller. Another goal is to determine which areas of operation using BUCK need refinement.
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  • description.provenance : Submitted by Deborah Campbell (deborah.campbell@oregonstate.edu) on 2009-04-08T21:21:56Z No. of bitstreams: 1 Beemer, Bryan MF.pdf: 290565 bytes, checksum: 079a171757e3d3a203eeee0d729b7744 (MD5)
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