Performance Analysis of a Harvester during Timber Extraction Activities in Bursa, Turkey

In Turkey, the use of mechanized harvesting technology in forestry has recently increased due to demands of private forest industry for large amounts of woods. In order to implement these systems effectively and efficiently, their applications should be well planned considering the factors that affect the performance of harvesting equipment. Performances of the mechanized harvesting systems are mainly influenced by factors such as tree size, tree formations, terrain conditions, operator motivation and skills. In this study, a single-grip harvesting operation was evaluated by using time and motion study analysis. Also, the main factors that affect harvesting operation were evaluated using statistical analysis. The study was implemented during a clear-cut operation in Brutian pine (Pinus brutia) stands located in Osmangazi Forest Enterprise Directorate in the city of Bursa, Turkey. Three stages of harvesting operation were evaluated; harvester moving to the trees, grabbing and felling trees, and processing (i.e. delimbing and bucking) trees. The average time of the work stages was examined, and the results indicated that most of the time was spent on tree processing. The productivity of the harvesting operation was found to be 24 m3/hr ranging between 6 m3/hr to 57 m3/hr. This productivity was mostly affected by the tree size, which directly influenced the total processing time of the felled trees in the study area. According to the statistical analysis results, it was found that there is a significant relationship between tree volume and the time spent on tree processing stage. The results from this study cannot be generalized but it suggests that mechanized harvesting using a harvester should be well planned ahead taking into considering the volume and size of the felled material in order to operate the harvester with optimal efficiency. Optimum machines and configurations should be selected based on machine specifications and stand characteristics.    

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  • Akay, A.E., Sessions, J. 2004. Identifying the factors influencing the cost of mechanized harvesting equipment. Journal of Science and Engineering, Kahramanmaras Sutcu Imam University, 7(2):65-72.
  • Andersson, B. 1994. Cut-to-length and tree-length harvesting systems in Central Alberta: A comparison. FERIC, Technical Report TR-108
  • Bembenek, M., Mederski, P.S., Karaszewski, Z., Łacka, A., Grzywiński W., Węgiel A., Giefing, D.F., Erler, J. 2015. Length accuracy of logs from birch and aspen harvested in thinning operations. Turkish Journal of Agriculture and Forestry, 39: 845–850.
  • Bulley, B. 1999. Effect of tree size and stand density on harvester and forwarder productivity in commercial thinning, FERIC Technical Note TN-292, July, 1999
  • Enez, K., Arıcak, B. 2012. “Ağaç Hasat Makinesine Ait Teknik ve Çalışma Koşullarının Değerlendirilmesi”, Journal of Science and Engineering, Kahramanmaras Sutcu Imam University, Specia Issue 2012, 108-114.
  • Hanell, B., Nordfjell, T., Eliasson, L., 2000. Productivity and costs in shelterwood harvesting. Scandinavian J. of Forest Research. 15(5): 561-569.
  • Hiesl, P., Benjamin, J.G. 2013. Applicability of International Harvesting Equipment Productivity Studies in Maine, USA: A Literature Review. Forests, 4(4):898–921.
  • Jiroušek, R.; Klvač, R., Skoupý, A. 2007. Productivity and costs of the mechanized cut-to-length wood harvesting system in clear-felling operations. J. For. Sci. 53:476–482.
  • Lanford, B.L. Stokes, B.J. 1996. Comparison of two thinning systems. Part 2. Productivity and costs. For. Prod. J., 46, 47–53.
  • Mederski, P.S. 2006. A comparison of harvesting productivity and costs in thinning operations with and without midfield. Forest Ecology and Management, 224(3): 286–296.
  • Mederski P.S., Bembenek M., Karaszewski Z., Łacka A., Szczepańska-Álvarez A., Rosińska M. 2016. Estimating and modelling harvester productivity in pine stands of different ages, densities and thinning intensities. Croatian Journal of Forest Engineering, 37: 27–36.
  • Nakagawa, M., Hamatsu, J., Saitou, T., 2007. Hideya Ishida Effect of tree size on productivity and time required for work elements in selective thinning by a arvester. International Journal of Forest Engineering, 18(2): 24-28
  • Ovaskainen, H., Uusitalo, J., Väätäinen, K. 2004. Characteristics and significance of a harvester operator’s working technique in thinnings. Int J for Eng, 15:67–77.
  • Spinelli, R., Hartsough, B.R., Magagnoti, N. 2010: Productivity standards for harvesters and processors in Italy. Forest Product Journal, 60(3): 226–235.
  • Suadicani, K.,Fjeld, D., 2001. Single-tree and group selection in montane Norway spruce stands: Factors influencing operational efficiency. Scandinavian J. of Forest Research. 16(1):79-87.
  • Szewczyk, G., Sowa, J.M., Grzebieniowski, W., Kormanek, M., Kulak, D., Stańczykiewicz, A. 2014. Sequencing of harvester work during standard cuttings and in areas with windbreaks. Silva Fennica, 48(4): 1159-1175.
  • Visser, R., Stampfer, K. 2003. Tree-length system evaluation of second thinning in loblolly pine plantations. Southern Journal of Applied Forestry, 27(2): 77–82.
  • Wang, J., Haarlaa, R., 2002. Production analysis of an excavator-based harvester: A case study in Finnish forest operations. Forest Prod. J. 52(3): 85-90.
European Journal of Forest Engineering-Cover
  • Yayın Aralığı: Yılda 2 Sayı
  • Başlangıç: 2015
  • Yayıncı: Forest Engineering and Technologies Platform