Journal article
Use, utilization, productivity and fuel consumption of purpose-built and excavator-based harvesters and processors in Italy
Forests, Vol.8(12), 485
2017
Abstract
Annual use, utilization, productivity and fuel consumption of three purpose-built and three excavator-based harvesters and processors were monitored for one work year. All machines were owned and operated by private contractors and were representative of the Italian machine fleet. Despite challenging mountain terrain, annual use ranged from 675 to 1525 h per year, and production from 3200 to 27,400 m3 per year. Productivity was lower for excavator-based units, and for machines working under a yarder, due to limited yarder capacity. Purpose-built machines offered higher utilization, productivity and fuel efficiency compared with excavator-based machines. Fuel consumption per m3 was 2.4 times greater for excavator-based units, compared with purpose-built machines. Excavator-based units offered financial and technical advantages, but their long-term market success will likely depend on future improvements in fuel efficiency, in the face of increasing fuel prices. © 2017 by the authors.
Details
- Title
- Use, utilization, productivity and fuel consumption of purpose-built and excavator-based harvesters and processors in Italy
- Authors
- Natascia Magagnotti (Author) - CNR Ivalsa, ItalyL Pari (Author) - CRA-ING Via della Pascolare, ItalyRaffaele Spinelli (Author) - University of the Sunshine Coast - Faculty of Arts, Business and Law
- Publication details
- Forests, Vol.8(12), 485; 12
- Publisher
- MDPI AG
- Date published
- 2017
- DOI
- 10.3390/f8120485
- ISSN
- 1999-4907
- Copyright note
- Copyright © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
- Organisation Unit
- University of the Sunshine Coast, Queensland; Forest Industries Research Centre; Forest Research Institute
- Language
- English
- Record Identifier
- 99451145002621
- Output Type
- Journal article
Metrics
52 File views/ downloads
314 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Collaboration types
- Domestic collaboration
- International collaboration
- Web Of Science research areas
- Forestry
UN Sustainable Development Goals (SDGs)
This output has contributed to the advancement of the following goals:
Source: InCites