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http://dx.doi.org/10.14578/jkfs.2022.111.4.567

Productivity and Cost of Mechanized Felling and Processing Operations Performed with an Excavator-based Stroke Harvester by Tree Species  

Yun-Sung, Choi (Forest Technology and Management Research Center, National Institute of Forest Science)
Min-Jae, Cho (Forest Technology and Management Research Center, National Institute of Forest Science)
Ho-Seong, Mun (Forest Technology and Management Research Center, National Institute of Forest Science)
Jae-Heun, Oh (Forest Technology and Management Research Center, National Institute of Forest Science)
Publication Information
Journal of Korean Society of Forest Science / v.111, no.4, 2022 , pp. 567-582 More about this Journal
Abstract
Chainsaw use for motor-manual timber harvesting in South Korea is associated with worker safety issues. However, forestry operations such as timber harvesting have already been mechanized to reduce hazards to workers and increase productivity. This study analyzed the productivities and costs of felling and processing, felling and processing using an excavator-based stroke harvester for Pinus rigida and Quercus mongolica stands. To efficiently operate the stroke harvester, we developed a regression equation to estimate the productivities of felling and processing, felling, and processing operations,and we conducted sensitivity analysis of the operation costs using DBH and machine utilization. The felling and processing productivity was 6.53 and 4.02 m3/SMH for P. rigida a nd Q. mongolica, respectively, and the cost was 17,983 and 29,210 won/m3, respectively. The felling productivity for P. rigida a nd Q. mongolica wa s 40.9 and 23.0 m3/SMH, respectively, and the cost was 2,667 and 4,743 won/m3, respectively. The processing productivity for P. rigida and Q. mongolica was 8.25 and 7.75 m3/SMH, respectively, and the cost was 15,296 and 16,283 won/m3, respectively. In the developed regression equation, the DBH, traveling distance, and number of cuttings were found to be important factors (p<0.05). Therefore, it is necessary to construct a DB considering the various conditions and species associated with harvester operations, and further research is needed to increase the accuracy of predicting operation productivity and costs.
Keywords
clear-cutting; stroke harvester; productivity and cost; sensitivity analysis; regression equation;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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