E. Hildt, Andrés Leszczuk, P. M. Donagh, T. Schlichter
{"title":"Time Consumption Analysis of Forwarder Activities in Thinning","authors":"E. Hildt, Andrés Leszczuk, P. M. Donagh, T. Schlichter","doi":"10.5552/crojfe.2020.615","DOIUrl":null,"url":null,"abstract":"Forwarding can be divided into separate work elements. These are affected by several factors: forwarding distance, load volume, and types of assortments harvested. For a detailed planning of thinning, productivity models should include these factors. This study analysed the time consumption of forwarder thinning operations in five pine plantations in the north-east of Argentina, determining how the log size and log concentration affect each work element. Timeand-motion studies were carried out, recording the activities with digital video cameras, and tracking the forwarder movements with global navigation satellite system (GNSS) receivers. Different linear mixed models were fitted to estimate the time consumption of each work element in relation to different predictive factors. When driving on the road, the forwarders had an average speed of 71.6 m min empty and 75.7 m min loaded. When driving in the stand, the average speed was 56.9 m min empty and 52.2 m min loaded. These speeds did not correlate with the forwarder size or load volume. For the loading and unloading elements, the linear mixed model explained 56% and 49% of the variability considering only the fixed effect of the logs size and the load volume. For driving while loading, the total volume loaded, and the log concentration of the assortment loaded explained 50% of the time consumption variability, with 17% being explained by random effects. The general time and productivity model developed can be applied to support accurate decisions in the process of thinning planning.","PeriodicalId":314013,"journal":{"name":"Croatian Journal of Forest Engineering : Journal for Theory and Application of Forestry Engineering","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Croatian Journal of Forest Engineering : Journal for Theory and Application of Forestry Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5552/crojfe.2020.615","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
Forwarding can be divided into separate work elements. These are affected by several factors: forwarding distance, load volume, and types of assortments harvested. For a detailed planning of thinning, productivity models should include these factors. This study analysed the time consumption of forwarder thinning operations in five pine plantations in the north-east of Argentina, determining how the log size and log concentration affect each work element. Timeand-motion studies were carried out, recording the activities with digital video cameras, and tracking the forwarder movements with global navigation satellite system (GNSS) receivers. Different linear mixed models were fitted to estimate the time consumption of each work element in relation to different predictive factors. When driving on the road, the forwarders had an average speed of 71.6 m min empty and 75.7 m min loaded. When driving in the stand, the average speed was 56.9 m min empty and 52.2 m min loaded. These speeds did not correlate with the forwarder size or load volume. For the loading and unloading elements, the linear mixed model explained 56% and 49% of the variability considering only the fixed effect of the logs size and the load volume. For driving while loading, the total volume loaded, and the log concentration of the assortment loaded explained 50% of the time consumption variability, with 17% being explained by random effects. The general time and productivity model developed can be applied to support accurate decisions in the process of thinning planning.
转发可以分为单独的工作元素。这些受以下几个因素的影响:转发距离、负载量和收获的分类类型。对于细化的详细计划,生产力模型应该包括这些因素。本研究分析了阿根廷东北部五个松树种植园的货代间伐作业的时间消耗,确定原木大小和原木浓度如何影响每个工作要素。进行了时间和运动研究,用数码摄影机记录活动,并用全球导航卫星系统接收器跟踪货代的运动。根据不同的预测因素,拟合了不同的线性混合模型来估计每个工作单元的时间消耗。在道路上行驶时,货运代理的平均空车速度为71.6 m min,装车速度为75.7 m min。在展台行驶时,空车平均速度为56.9 m min,载车平均速度为52.2 m min。这些速度与货代的大小或装载量无关。对于加载和卸载元素,线性混合模型仅考虑原木尺寸和载荷体积的固定影响,可以解释56%和49%的变异性。对于装载时驾驶,装载总量和装载分类的对数浓度解释了50%的时间消耗变化,17%的时间消耗变化由随机效应解释。所开发的一般时间和生产率模型可用于支持细化计划过程中的准确决策。