Influência da experiência de operadores de Harvester e Forwarder nas atividades de colheita florestal no nordeste brasileiro

Marcus Túlio de Abreu Teles; Amaury Paula de Souza; Luciano José Minette; Bruno Leão Said Schettini; Arthur Araújo Silva; Pedro Henrique Guimarães Abrantes Lacerda; Julia Hussar Duarte Resende; Kamilla Ariadne Pinto Silva; Cássio Furtado Lima

doi:10.53661/1806-9088202549263798

Authors

Marcus Túlio de Abreu Teles Universidade Federal de Viçosa, Mestrado em Ciência Florestal, Viçosa, Minas Gerais, Brasil https://orcid.org/0009-0002-5758-7642
Amaury Paula de Souza Universidade Federal de Viçosa, Departamento de Engenharia Florestal, Viçosa, Minas Gerais, Brasil https://orcid.org/0000-0002-7475-5751
Luciano José Minette Universidade Federal de Viçosa, Departamento de Engenharia Florestal, Viçosa, Minas Gerais, Brasil https://orcid.org/0000-0002-2038-334X
Bruno Leão Said Schettini Universidade Federal de Viçosa, Departamento de Engenharia Florestal, Viçosa, Minas Gerais, Brasil https://orcid.org/0000-0001-6510-4511
Arthur Araújo Silva Universidade Federal de Viçosa, Departamento de Engenharia Florestal, Viçosa, Minas Gerais, Brasil https://orcid.org/0000-0002-7342-6163
Pedro Henrique Guimarães Abrantes Lacerda Universidade Federal de Viçosa, Mestrado em Ciência Florestal, Viçosa, Minas Gerais, Brasil https://orcid.org/0000-0001-8690-0541
Julia Hussar Duarte Resende Universidade Federal de Viçosa, Mestrado em Ciência Florestal, Viçosa, Minas Gerais, Brasil https://orcid.org/0000-0002-2846-438X
Kamilla Ariadne Pinto Silva Universidade Federal de Viçosa, Graduanda em Engenharia Florestal, Viçosa, Minas Gerais, Brasil https://orcid.org/0009-0000-2312-5859
Cássio Furtado Lima Instituto Federal de Educação, Ciência e Tecnologia do Pará, Campus Ananindeua, Ananindeua, Pará, Brasil https://orcid.org/0000-0001-5461-1809

DOI:

https://doi.org/10.53661/1806-9088202549263798

Keywords:

Reforestation, Forestry operator learning, Forestry machinery

Abstract

The forestry sector has experienced continuous growth in investments and technological innovations, particularly in harvesting operations, which have been significantly enhanced by these advancements. In this context, the systematic monitoring of operator performance is an essential tool for assessing individual progress over time, based on the experience acquired in machine operation. This approach enables managers to track learning curves, plan targeted training actions, and promote the continuous improvement of operational efficiency. The objective of this study was to evaluate the productivity evolution of Harvester and Forwarder operators as a function of field experience in a forestry company in the southwestern region of the Maranhão state, Brazil. The average time consumption for performing operational cycles and their elements was assessed, correlating the time spent with experience duration and the average individual volumes of the harvested areas. A time and motion study was used to evaluate operators without prior experience. The time consumed in each element of the operational cycle and the effective working time for cutting and extraction operations were determined. In the Harvester cycle, the “Processing” element accounted for the highest percentage of time consumption, whereas in the Forwarder cycle, the “Loading” stage was the most time-consuming, regardless of the operators’ level of experience. Correlation analysis showed that, for the Harvester, the average individual volumes of the harvested areas had a greater influence on the evolution of cycle time consumption than operator experience. Conversely, for the Forwarder, field experience showed a more significant correlation. The practical experience of operators showed a significant impact on productivity, with percentage gains of 71.0% for the Harvester and 84.6% for the Forwarder. These results demonstrate that the accumulation of operational experience is directly related to performance improvement, highlighting the importance of continuous monitoring of operator performance over time.

Keywords: Reforestation; Forestry operator learning; Forestry machinery