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Evaluation of the Impact of Timber Truck Configuration and Tare Weight on Payload Efficiency - An Australian Case Study1.27 MB
Published VersionCC BY V4.0, Open Access
Journal article
Evaluation of the Impact of Timber Truck Configuration and Tare Weight on Payload Efficiency: An Australian Case Study
Forests, Vol.12(7), pp.1-11
2021
Abstract
The forest industry tends to plan, and model transportation costs based on the potential payload benefits of increased legal gross vehicle weight (GVW) by deploying different configurations, while payload benefits of a configuration can be significantly influenced by the vehicle design tare weight. Through this research the relative benefit of increased legal GVW of different configurations is compared across Australia over a 13-year period from 2006 to 2019, by examining data collected post operation across multiple operations. This approach is intended to offer realistic insight to real operations not influenced by observation and thus reflect long-term operating behaviour. The inclusion of the three most common configuration classes in Australian forestry over a 13-year period has also allowed the exploration of load management between configurations and potential trends over time. When considering the legal GVW and the tare weight impacts across the fleets, the semi-trailer has an 8 t payload disadvantage compared to B-Doubles and 19.6 t disadvantage compared to road trains.
Details
- Title
- Evaluation of the Impact of Timber Truck Configuration and Tare Weight on Payload Efficiency: An Australian Case Study
- Authors
- Mark W Brown (Author) - University of the Sunshine Coast, Queensland, Forest Industries Research Centre
- Publication details
- Forests, Vol.12(7), pp.1-11
- Publisher
- MDPI AG
- Date published
- 2021
- DOI
- 10.3390/f12070855
- ISSN
- 1999-4907
- Copyright note
- Copyright: © 2021 by the author. 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 (https://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
- 99549708402621
- Output Type
- Journal article
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