A New Skid Trail Pattern Design for Farm Tractors Using Linear Programing and Geographical Information Systems
AbstractFarm tractor skidding is one of the common methods of timber extraction in Turkey. However, the absence of an optimal skidding plan covering the entire production area can result in time loss and negative environmental impacts. In this study, the timber extraction by farm tractors was analyzed, and a new skid trail pattern design was developed using Linear Programming (LP) and Geographical Information Systems (GIS). First, a sample skidding operation was evaluated with a time study, and an optimum skidding model was generated with LP. Then, the new skidding pattern was developed by an optimum skidding model and GIS analysis. At the end of the study, the developed new skid trail pattern was implemented in the study area and tested by running a time study. Using the newly developed “Direct Skid Trail Pattern (DSTP)” model, a 16.84% increase in working time performance was observed when the products were extracted by farm tractors compared to the existing practices. On the other hand, the average soil compaction value measured in the study area at depths of 0–5 cm and 5–10 cm was found to be greater in the sample area skid trails than in the control points. The average density of the skid trails was 281 m/ha, while it decreased to 187 m/ha by using the developed pattern. It was also found that 44,829 ton/ha of soil losses were prevented by using the DSTP model; therefore, environmental damages were decreased. View Full-Text
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Gumus, S.; Turk, Y. A New Skid Trail Pattern Design for Farm Tractors Using Linear Programing and Geographical Information Systems. Forests 2016, 7, 306.
Gumus S, Turk Y. A New Skid Trail Pattern Design for Farm Tractors Using Linear Programing and Geographical Information Systems. Forests. 2016; 7(12):306.Chicago/Turabian Style
Gumus, Selcuk; Turk, Yilmaz. 2016. "A New Skid Trail Pattern Design for Farm Tractors Using Linear Programing and Geographical Information Systems." Forests 7, no. 12: 306.
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