Productivity of Timberjack 350A and Tree Farmer C5D skidders in group-selective cutting and assortment method

D. Marčeta, Josip Maglica, V. Petković, D. Čomić
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Abstract

In the forestry of Bosnia and Herzegovina winching and skidding of wood assortments is usually done with skidders equipped with a cable winch. This is one of the most expensive and technologically challenging activities of forest exploitation. It is of great importance to analyse the productivity of these machines as often as possible, to obtain the most efficient solutions in the forest harvesting technologies and to increase the profitability of harvesting operations. In this research, the productivity of two cable skidders, Timberjack 350A and Tree Farmer C5D, were analysed to determine their productivity and applicability in conditions of group-selective forest management and motor-manual assortment harvesting method. The goal was also to investigate how mobile Android application AlpineQuest can simplify field data collection during a work study. The results of this research showed that older-generation skidders could be partially competitive with new-generation skidders when it comes to productivity, but for credible conclusion much more detailed investigation should be done. However, there are also many other features, such as ergonomic, ecological and some at first glance invisible technological changes that give the newer skidders a significant advantage. What is a big challenge for local forestry companies is that the official norms that have been used for a long time have been overcome, and they provide completely unreliable data about the time required for the execution of work, from which it follows that the accuracy of the economic plan is also questionable. Using the AlpineQuest application in data collection during the time and work-study has proven to be very successful. It found its greatest use in measuring winching and skidding distances, but it also generally facilitated workers’ orientation and movement in the area.
Timberjack 350A 和 Tree Farmer C5D 集材机在分组选择切割和分类方法中的生产率
在波斯尼亚和黑塞哥维那的林业中,通常使用装有电缆绞车的集材机对各种木材进行绞运和集材。这是森林开采中最昂贵和最具技术挑战性的活动之一。尽可能经常地分析这些机器的生产率,以获得森林采伐技术中最有效的解决方案,并提高采伐作业的利润率,这一点非常重要。在这项研究中,对两台缆索集材机 Timberjack 350A 和 Tree Farmer C5D 的生产率进行了分析,以确定它们在森林群落选择性管理和机动手动分类采伐方法条件下的生产率和适用性。研究的目的还在于调查移动安卓应用程序 AlpineQuest 如何简化工作研究中的现场数据收集。研究结果表明,就生产率而言,老一代集材机在一定程度上可以与新一代集材机竞争,但要得出可信的结论,还需要进行更详细的调查。不过,新一代集材机还有许多其他特点,如人体工程学、生态学和一些乍看之下看不见的技术变化,这些都使新一代集材机具有显著优势。当地林业公司面临的一大挑战是,长期以来一直沿用的官方标准已被突破,它们所提供的工作所需时间数据完全不可靠,因此经济计划的准确性也值得怀疑。事实证明,在时间和工作研究中使用 AlpineQuest 应用程序收集数据是非常成功的。它在测量绞车和滑车距离方面发挥了最大作用,但总体上也方便了工人在区域内的定位和移动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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