A lack of efficient operators for wood harvesting machines poses a great challenge. Here, our objective was to evaluate the effect of the behavioural profile on the productive efficiency of forwarder operators. The study was carried out in a Brazilian company, with a sample of 10 operators. A profile evaluation characterized the reference profile, comparing with the profile of the operators studied. The operators were evaluated through their productive efficiency, for 11 months to track learning curves. The results showed that operators must be attentive to details, deadlines, rules, be patient and a moderate initiative taker. The operators were classified into two behavioural profiles, class 1 appropriate to the position and class 2 with some inappropriate points. The productive efficiency of the operators increased during the training, with the profile operators 1 and 2 reaching the targets set by the company in the fifth and seventh month, respectively. The difference in the average productive efficiency between the operators of profile 1 and 2 during the training process was 19%.
wood; operator recruitment; learning curves; productivity
Akay A.E, Sessions J. (2004): Identifying the factors influencing the factors influencing the cost of mechanized harvesting equipment. Journal of Science and Engine, 7: 65–71.
Ackerman Phillip L. (1988): Determinants of individual differences during skill acquisition: Cognitive abilities and information processing.. Journal of Experimental Psychology: General, 117, 288-318 https://doi.org/10.1037/0096-34220.127.116.118
Adloff F., Gerund K., Kaldewey D. (2015): Revealing Tacit Knowledge: Embodiment and Explication. Bielefeld, Transcript Verlag: 308.
Buckingham M., Clifton O.D. (2006): Descubra Seus Pontos Fortes. Rio de Janeiro, Sextante: 270. (in Portuguese Brazilian)
Contreras Marco A., Parrott David L., Chung Woodam (2016): Designing Skid-Trail Networks to Reduce Skidding Cost and Soil Disturbance for Ground-Based Timber Harvesting Operations. Forest Science, 62, 48-58 https://doi.org/10.5849/forsci.14-146
IBA (2017): Indústria Brasileira de Árvores. Relatório IBA: 77.
Kanfer Ruth, Ackerman Phillip L. (1989): Motivation and cognitive abilities: An integrative/aptitude-treatment interaction approach to skill acquisition.. Journal of Applied Psychology, 74, 657-690 https://doi.org/10.1037/0021-9010.74.4.657
Lopes E.S., Pagnussat M.B. (2017): Effect of the behavioral profile on operator performance in timber harvesting. International Journal of Forest Engineering, 28: 1–6.
Glöde Dan, Sikström Ulf (2001): Two felling methods in final cutting of shelterwood, single-grip harvester productivity and damage to the regeneration. Silva Fennica, 35, - https://doi.org/10.14214/sf.604
Guadagnoli M.A., Lee T.D. (2010): Challenge point: a framework for conceptualizing the effects of various practice conditions in motor learning. Journal of Bone and Mineral Research, 36: 212–224.
Harstela P. (2004): The competence of the forest-machine operator and tacit knowledge. In: Ranta P. (ed.): Proceedings of the international seminar on simulator-based training of forest machine operators. Tampere University of Technology, Digital Media Institute, Hypermedia laboratory, Tampere. Report, 2: 11–15.
Kärhä Kalle, Rönkkö Esa, Gumse Seppo-Ilmari (2013): Productivity and Cutting Costs of Thinning Harvesters. International Journal of Forest Engineering, 15, 43-56 https://doi.org/10.1080/14942119.2004.10702496
Machado C.C. (2014): Colheita Florestal. Viçosa, UFV: 543. (in Portuguese)
Ovaskainen Heikki (2005): Comparison of harvester work in forest and simulator environments. Silva Fennica, 39, - https://doi.org/10.14214/sf.398
Purfürst F.T. (2010): Learning curves of harvester operators. Croatian Journal of Forest Engineering, 31: 89–97.
Reber Arthur S. (1989): Implicit learning and tacit knowledge.. Journal of Experimental Psychology: General, 118, 219-235 https://doi.org/10.1037//0096-3418.104.22.168
Volodina Anna, Nagy Gabriel, Köller Olaf (2015): Success in the first phase of the vocational career: The role of cognitive and scholastic abilities, personality factors, and vocational interests. Journal of Vocational Behavior, 91, 11-22 https://doi.org/10.1016/j.jvb.2015.08.009