?rea de concentra??o: Manejo florestal e silvicultura. / Submitted by Jos? Henrique Henrique (jose.neves@ufvjm.edu.br) on 2017-09-06T18:39:59Z No. of bitstreams: 2 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) nayara_natacha_jesus_pereira.pdf: 1308237 bytes, checksum: c78cc1592d151bba2ecb1af0e1daee29 (MD5) / Approved for entry into archive by Rodrigo Martins Cruz (rodrigo.cruz@ufvjm.edu.br) on 2017-09-18T16:59:14Z (GMT) No. of bitstreams: 2 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) nayara_natacha_jesus_pereira.pdf: 1308237 bytes, checksum: c78cc1592d151bba2ecb1af0e1daee29 (MD5) / Made available in DSpace on 2017-09-18T16:59:14Z (GMT). No. of bitstreams: 2 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) nayara_natacha_jesus_pereira.pdf: 1308237 bytes, checksum: c78cc1592d151bba2ecb1af0e1daee29 (MD5) Previous issue date: 2017 / ? cada vez mais crescente a demanda por profissionais capacitados para operar m?quinas com elevada tecnologia e valor comercial. A fim de resolver parte desse gargalo, o simulador de realidade virtual de m?quinas florestais est? entre as tecnologias mais utilizadas para treinamento com menor custo/benef?cio. Logo, definir e conhecer o perfil de um futuro operador frente ?s condi??es de trabalho do simulador possibilita maior chance de ?xito na execu??o das atividades de campo, com m?quinas de colheita florestal. Objetivou-se, com este trabalho avaliar o desempenho de operadores no treinamento com simulador de realidade virtual Harvester, considerando-se diferentes classes de idades, grau de escolaridade e categoria de habilita??o. Os dados s?o provenientes do Centro T?cnico de Forma??o de Operadores de M?quinas Florestais, situado no Campus JK da UFVJM, em Diamantina- MG. Foram avaliados 40 profissionais, sem experi?ncia na opera??o do Harvester. No decorrer dos treinamentos coletaram-se dados do desempenho dos profissionais, referentes apenas ao m?dulo V do software espec?fico (Simlog), por se tratar da fase que melhor caracteriza as principais atividades da m?quina. Com isso, os resultados evidenciaram que a diferen?a de tempo m?dio gasto no ciclo de opera??o do modulo V apresentou alta correla??o com a idade do operador, sendo diretamente proporcional ao aumento desta, ou seja, quanto maior a idade do operador em treinamento, maior a diferen?a entre o tempo m?dio gasto por ele em rela??o ? meta estabelecida. Para o teste de Kruskal-Wallis, a signific?ncia de 5% para Dif ? Tempo apontou diferen?a significativa apenas para os agrupamentos por habilita??o, mostrando que as diferentes categorias de habilita??o exercem influ?ncia sobre o tempo de execu??o das tarefas, sendo a categoria B a que apresentou menor Dif ? Tempo m?dio em rela??o ?s outras categorias. J? os agrupamentos por categoria de habilita??o e escolaridade n?o apresentam diferen?as significativas entre si. / Disserta??o (Mestrado) ? Programa de P?s-Gradua??o em Ci?ncia Florestal, Universidade Federal dos Vales do Jequitinhonha e Mucuri, 2017. / It is each time more growing the demand for skilled professionals to operate machines with high technology and commercial value. In order to address part of this bottleneck, the forest machine virtual reality simulator is among the most commonly used technologies for lower cost / benefit training. Therefore, defining and knowing the profile of a future operator in front of the working conditions of the simulator, allows a greater chance of success in the execution of the field activities, with forest harvesting machines. The objective of this work was to evaluate the performance of operators in the training with Harvester virtual reality simulator, considering different age classes, educational level and habilitation category. The data come from the Technical Center for the Training of Forest Machine Operators, located at JK Campus of UFVJM, in Diamantina-MG. 40 professionals were evaluated, with no experience in the operation of the Harvester. During the training, data were collected on the performance of the professionals, referring only to module V of the specific software (Simlog), because it is the phase that best characterizes the main activities of the machine. With this, the results showed that the mean time difference spent on the operating cycle of the V module showed a high correlation with the age of the operator, being directly proportional to the increase in age, that is, the higher the age of the operator in training, the higher the difference between the average time spent by him in relation to the established goal. For the Kruskal-Wallis test, the significance of 5% for Dif-Time showed a significant difference only for the groupings by habilitation, showing that the different categories of habilitation exert an influence on the time of execution of the tasks, being the category B that presented lower Dif - Mean time in relation to the other categories. not present significant differences between them.

This research, done as part of the mechanical engineering program at Linnaeus University in partnership with Rottne Industri AB, aims to improve safety in forest industri. It focuses on designing a user-friendly emergency exit system for harvester cabins. Driven by strict safety rules and societal expectations, the goal is to craft an exit that allows quick evacuation during emergencies and fits well with forest machinery safety standards.