Assessing the characteristics and supporting factors that lead to logging machine value loss in the Southeastern United States

IF 2.1 3区 农林科学 Q2 FORESTRY International Journal of Forest Engineering Pub Date : 2021-09-07 DOI:10.1080/14942119.2021.1971145
Emily B. Cook, M. Bolding, R. Visser, S. Barrett, Brandon O’Neal
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引用次数: 2

Abstract

ABSTRACT Forest harvesting machines have become technologically advanced, making them more productive but also more complex and expensive to purchase. Logging contractors have the challenge of deciding the right duration for operating their machines to optimize the high initial capital investment of purchasing new equipment. We evaluated the decline in ground-based mechanized logging equipment value in the Southeastern United States and determined baseline value loss trends for equipment based on several operational factors. Based on 920 machine listings from common equipment trading internet sites, predictive models were developed for the listed used price of tracked and wheeled feller-bunchers, tracked and trailer-mounted loaders, and wheeled skidders resulting in R2 values of 0.75 or higher. Machine age (yrs) proved to be the most significant predictor of the listed used price for all machine types. Tracked machines were listed at significantly higher prices (p < 0.0001) and ages (loaders p = 0.0921 and skidders p = 0.0007) than their wheeled counterparts. A survey of equipment dealers and logging contractors was also conducted to ascertain key considerations of machine value retention and for replacement. Lack of preventative maintenance was ranked as the most likely factor that leads to premature equipment replacement. Equipment dealers consistently recommend significantly lower machine hours at time of replacement than logging contractors. The results from this study provide predictive models and qualitative reasoning regarding machine value loss and decision-making from both equipment dealer’s and logging contractor’s perspectives.
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评估导致美国东南部伐木机价值损失的特征和支持因素
摘要:森林采伐机械的技术越来越先进,生产效率越来越高,但也越来越复杂,购买成本也越来越高。测井承包商面临的挑战是,如何选择合适的机器运行时间,以优化购买新设备的高额初始资本投资。我们评估了美国东南部地面机械化测井设备价值的下降,并根据几个操作因素确定了设备的基线价值损失趋势。基于来自通用设备交易网站的920台机器清单,对履带式和轮式堆料车、履带式和挂车装载机以及轮式滑板车的上市使用价格建立了预测模型,得出R2值为0.75或更高。机器年龄(年)被证明是所有机器类型的标价最显著的预测因子。履带式机器的价格(p < 0.0001)和使用年限(装载机p = 0.0921,滑板机p = 0.0007)明显高于轮式机器。还对设备经销商和伐木承包商进行了调查,以确定机器价值保留和更换的关键考虑因素。缺乏预防性维护被列为导致设备过早更换的最可能因素。设备经销商一贯建议在更换设备时,比测井承包商的工作时间要短得多。本研究的结果从设备经销商和测井承包商的角度提供了机器价值损失和决策的预测模型和定性推理。
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来源期刊
CiteScore
3.70
自引率
21.10%
发文量
33
期刊最新文献
IJFE editor’s note 35(1) Benchmarking operational conditions, productivity, and costs of harvesting from industrial plantations in different global regions Constraints and opportunities in harvesting woody biomass: perspectives of foresters and loggers in the Northeastern United States A new approach to map-based monitoring of logging-induced changes in soil penetration resistance Pothole detection in the woods: a deep learning approach for forest road surface monitoring with dashcams
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