R. H. Miyajima, D. Simões, P. T. Fenner, Gislaine Cristina Batistela
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引用次数: 5
Abstract
Grapple skidder is a machine designed for the extraction of tree bunches after felling. Several factors influence its technical performance and costs such as terrain slope, operator experience time, machine type, and the size of tree bunches for each operating cycle, among others. Thus, it becomes necessary to weigh the variables that most influence the productivity and costs of the grapple skidder. So, the main objective was evaluated according to the influence of bunch size using two feller bunchers with distinct technical characteristics, two slope classes and two skidding areas on the productivity and machine production cost in a Eucalyptus plantation. For the analysis of the productivity, the study of time and method was applied and the scheduled machine cost per hour was based on the Food and Agriculture Organization of the United Nations methods. When analyzing the results, it was found that the operational elements moving without load (MWoL) and moving with load (MWL) were the ones that spend the most time in the operational cycle of the grapple skidder. Among the cost components, monetary expenditure on fuel and operator labor were the most influential in the scheduled machine cost per hour. In conclusion, the tree bunches and slope class influenced the productivity and, consequently, the cost of the skidding operation.
期刊介绍:
Croatian Journal of Forest Engineering (CROJFE) is a refereed journal distributed internationally, publishing original research articles concerning forest engineering, both theoretical and empirical. The journal covers all aspects of forest engineering research, ranging from basic to applied subjects. In addition to research articles, preliminary research notes and subject reviews are published.
Journal Subjects and Fields:
-Harvesting systems and technologies-
Forest biomass and carbon sequestration-
Forest road network planning, management and construction-
System organization and forest operations-
IT technologies and remote sensing-
Engineering in urban forestry-
Vehicle/machine design and evaluation-
Modelling and sustainable management-
Eco-efficient technologies in forestry-
Ergonomics and work safety