FOREST EXTRACTION MANAGEMENT WITH THE INDICATOR OF OVERALL EFFICIENCY OF FOREST MACHINES (OEFM)

IF 0.6 4区农林科学 Q4 FORESTRY

Revista Arvore Pub Date : 2022-01-01 DOI:10.1590/1806-908820220000018

Arthur Araújo Silva, C. Machado, Raiane Ribeiro Machado Gomes, B. Schettini, L. Minette, Ítalo Lima Nunes, Paulo Henrique Villanova

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引用次数: 0

Abstract

ABSTRACT Performance indicators are tools capable of exposing measurable characteristics and generating relevant information on forest operations, thus being considered pillars for managers to make agile and assertive decisions. Forest extraction with a forwarder must be improved, understanding the factors that affect the costs of this machine, such as productivity (PR), fuel consumption (FC), operational efficiency (OE), and quality of operation. Thus, the objective of this study was to evaluate the implementation of the Overall Efficiency of Forest Machines (OEFM) indicator in the management of forest extraction data using forwarders. Data were collected during forest harvesting from five operating fleets, in commercial eucalypt plantations, in full-tree and coppice regimes, in the states of Bahia and Espírito Santo. The indicator was expressed as a percentage calculated by OEFM = ( ( 4 ∗ PR ) + ( 3 ∗ FC ) + ( 3 ∗ OE ) ) / 10. The performance of the machines was evaluated by a stochastic model of dynamic simulation of systems in eight scenarios, proposing improvement for the average individual volume harvested, fuel consumption, and mechanical or operational stops. Analyzes were performed using PowerSim Studio 9 software. The OEFM of two fleets was higher than the established target of 95.17%, with 95.72% and 97.44%. The OEFM indicator proved to be useful in the management of forest extraction with adequate and easy-to-understand information from a large amount and variety of data. The stochastic simulation model was efficient to study the impact on the global efficiency and the flow of wood extraction by the forwarder.

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以林机综合效率(oefm)为指标的森林采伐管理

绩效指标是能够揭示可测量特征并生成森林经营相关信息的工具，因此被认为是管理者做出敏捷和自信决策的支柱。森林采伐必须改进，了解影响这台机器成本的因素，如生产力(PR)、燃料消耗(FC)、操作效率(OE)和操作质量。因此，本研究的目的是评估森林机器总体效率(OEFM)指标在使用转发器管理森林采伐数据中的实施情况。数据是在巴伊亚州和Espírito Santo州的商业桉树种植园、全树和灌木林制度的五个作业队的森林采伐期间收集的。该指标以OEFM =((4∗PR) +(3∗FC) +(3∗OE))计算的百分比表示。机器的性能通过八种情况下系统动态模拟的随机模型进行评估，提出了平均个体收获量，燃料消耗和机械或操作停止的改进。使用PowerSim Studio 9软件进行分析。两个机队的OEFM分别为95.72%和97.44%，高于95.17%的既定目标。OEFM指标证明对森林采伐的管理是有用的，因为它从大量和各种各样的数据中提供了充分和易于理解的信息。随机模拟模型可以有效地研究货代对采伐木材整体效率和采伐流程的影响。

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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来源期刊

Revista Arvore FORESTRY-

CiteScore

1.00

自引率

0.00%

发文量

审稿时长

4-8 weeks

期刊介绍： A Revista Árvore é um veículo de comunicação científica da Sociedade de Investigações Florestais – SIF. O jornal é de acesso gratuito, revisado por pares, que publica bimestralmente trabalhos científicos originais no campo da Ciência Florestal. As áreas temáticas para publicação são: Ambiência e Conservação da Natureza, Manejo Florestal, Silvicultura e Tecnologia da Madeira e Utilização de Produtos Florestais. A política editorial visa manter alta conduta ética em relação à publicação e aos seus funcionários, rigor na qualidade dos artigos científicos, seleção de revisores qualificados, respeito profissional aos autores e processo de tomada de decisão imparcial. A Revista Árvore publica artigos apenas em inglês. Artigos de revisão podem ser publicados se houver uma discussão relevante resumindo o estado da arte sobre o assunto. A revisão estrita da literatura não é aceita.