Excavator-based processors are a valuable machine to process trees at cable yarder landings. This paper contributes to the studies on productivity and time consumption of excavator-based processors at a landing in the North-western Italian Alps. The study analyzed the time consumption and productivity of an excavator-based processor in a spruce forest, focusing on operational factors influencing processing time and employing statistical modeling. Results showed that processing (21%) and stacking (19%) accounted for a significant portion of the total cycle time (254.2 s), with delays (48%) dominating due to waiting times for incoming loads. Regression analysis revealed that tree diameter, height, and number of logs significantly influenced cycle time. Productivity (25.7 m3 PMH−1) increased with tree volume, although larger trees required longer cycle times. Obtaining two logs per tree, when the tree volume increased by 0.1 m3, productivity increased by about 2.5 m3 PMH−1, while when obtaining five logs per tree, the increment in productivity for the same increase in tree volume was about 1.6 m3 PMH−1. Overall, the study demonstrates the feasibility and efficiency of using excavator-based processors in forest operations in the Northwestern Italian Alps. The findings provide valuable insights into operational dynamics and economic considerations, highlighting the potential of this equipment as a cost-effective alternative.

Productivity and costs of a tracked excavator-based processor at the cable yarder landing in the North-western Italian Alps

Bertone F.
First
;
Manzone M.
Last
2024-01-01

Abstract

Excavator-based processors are a valuable machine to process trees at cable yarder landings. This paper contributes to the studies on productivity and time consumption of excavator-based processors at a landing in the North-western Italian Alps. The study analyzed the time consumption and productivity of an excavator-based processor in a spruce forest, focusing on operational factors influencing processing time and employing statistical modeling. Results showed that processing (21%) and stacking (19%) accounted for a significant portion of the total cycle time (254.2 s), with delays (48%) dominating due to waiting times for incoming loads. Regression analysis revealed that tree diameter, height, and number of logs significantly influenced cycle time. Productivity (25.7 m3 PMH−1) increased with tree volume, although larger trees required longer cycle times. Obtaining two logs per tree, when the tree volume increased by 0.1 m3, productivity increased by about 2.5 m3 PMH−1, while when obtaining five logs per tree, the increment in productivity for the same increase in tree volume was about 1.6 m3 PMH−1. Overall, the study demonstrates the feasibility and efficiency of using excavator-based processors in forest operations in the Northwestern Italian Alps. The findings provide valuable insights into operational dynamics and economic considerations, highlighting the potential of this equipment as a cost-effective alternative.
2024
1
9
cycle time; logging; modeling; Performance; time consumption
Bertone F.; Manzone M.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/2032075
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