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Intensive Hardwood Log Bucker Training using HW Buck Dramatically Improves Value Recovery

机译:使用HW降压的密集硬木日志扣培训大大提高了价值恢复

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It has long been recognized that inappropriate placement of crosscuts when manufacturing hardwood logs from harvested stems (log bucking) reduces the value of logs produced. Recent studies have estimated losses in the range from 28% to 38% in the lakestates region. It has not, however, been clear how to correct the problem. Efforts to improve value recovery have followed two general approaches: using technological methods to actually optimize the bucking of each log or having recognized experts train log buckers to make better bucking decisions. This article describes the state-of-the-art for optimizing the bucking of hardwood logs, and documents a log bucker training approach that resulted in improved value recovery of over 30%. Field buckers underwent an intensive training process to help them make better bucking decisions. This training integrated use of HW Buck, a computerized tool to optimize the choice of bucking cuts for hardwood logs, with other more traditional training approaches. Samplehardwood stems were felled and entered into the HW Buck software to determine the individual bucking options that maximized the value of the resulting logs. This component was integrated with the more traditional instruction in defect identification andthe fundamentals of grading and scaling rules. Each of the training components was taught both in the field and using prepared slide shows. Emphasis was placed on a set of heuristics (rules-of-thumb) that simplify the bucking decision process. One very useful component of the training program was a visit to the trainees in the field several weeks after the initial training. This allowed the buckers time to practice the techniques covered in the training and to seek clarification concerning any aspect of the training that was unclear. It also allowed the trainers to reinforce the messages of the initial training.
机译:它已经很久认识到,在从收获的茎上制造硬木日志时,横切的不适当放置(日志支付)减少了所产生的原木的值。最近的研究估计损失在Lakestates地区的28%至38%的范围内。但是,它没有清楚如何纠正问题。改善价值恢复的努力遵循了两种一般方法:使用技术方法实际优化每个日志的折扣或具有认可的专家训练日志批量来做出更好的支付决策。本文介绍了优化硬木日志的支付的最先进,并记录了日志扣培训方法,导致提高值恢复超过30%。现场扣员经历了一个密集的培训过程,以帮助他们做出更好的支付决策。这种培训综合使用HW Buck,一种计算机化的工具,以优化用于硬木日志的支付切割的选择,具有其他更传统的培训方法。 SampleHardwood茎被砍伐并进入HW降压软件,以确定最大化所得日志的值的单个串联选项。该组件与更传统的缺陷识别指导和分级和规模的基础集成。每个训练组件都在现场教授,并使用准备的幻灯片显示。重点是放在一套启发式(拇指规则)上,简化了副决定过程。培训计划的一个非常有用的组成部分是在初始培训后几周访问该领域的受训人员。这允许持有人的时间练习培训中涵盖的技术,并寻求澄清关于尚不清楚的培训的任何方面。它还允许培训师加强初始培训的信息。

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