“…The truck tare weight is influenced by axle configuration, truck body and drive terrain, material used for manufacturing, on-board equipment, and fuel [50]. The B-double and the road train, having longer trailer frames, more axles, and larger trucks to pull heavier weights, tend to have heavier tare weights but material types and on-board equipment can be selected towards a lighter design (e.g., plastic mudguards, aluminum rims, bolsters and bull bars) and reduce how much of the legal GVW advantage is taken up by added vehicle tare weight.…”
This thesis aims to provide a greater understanding around the role and balance of strategic, tactical and operational decisions in the execution of effective payload management in an efficient forestry supply chain. Studies were conducted to explore the role of increased Gross Vehicle Weight (GVW) as the strategic management, reducing tare weight at the tactical level and managing the actual payload of each trip at the operational level.Operation payload management investigated the impact of two weighing technologies (truck and loader installed scales), operated by hired drivers and owner-operators on two route types; gazetted (classified for increased GVW limits) and non-gazetted (standard GVW limits for public roads). On non-gazetted roads the two approaches proved equally effective but when used together appeared to be less effective, while the owner operators appeared to have better management of the payload compared to hired drivers. On the gazetted roads all vehicles were underloaded by roughly the extra payload amount offered by the gazetted routes, which highlights the importance of communication and overall management to ensure payload potential is realised.Tactical management was explored with mill based, legal for trade, weigh bridge data from five companies across Australian forest operations. The research examines tare weights and focuses on opportunities to reduce transportation costs by converting the fleet to the lightest in-fleet tare weights. Focussing on the lowest in-fleet tare weights reduces the risks of the proposed change by avoiding pushing beyond technology and design not already deployed in the fleet. This study identified economic savings in excess of 20% were possible under the modelled scenarios.
“…The truck tare weight is influenced by axle configuration, truck body and drive terrain, material used for manufacturing, on-board equipment, and fuel [50]. The B-double and the road train, having longer trailer frames, more axles, and larger trucks to pull heavier weights, tend to have heavier tare weights but material types and on-board equipment can be selected towards a lighter design (e.g., plastic mudguards, aluminum rims, bolsters and bull bars) and reduce how much of the legal GVW advantage is taken up by added vehicle tare weight.…”
This thesis aims to provide a greater understanding around the role and balance of strategic, tactical and operational decisions in the execution of effective payload management in an efficient forestry supply chain. Studies were conducted to explore the role of increased Gross Vehicle Weight (GVW) as the strategic management, reducing tare weight at the tactical level and managing the actual payload of each trip at the operational level.Operation payload management investigated the impact of two weighing technologies (truck and loader installed scales), operated by hired drivers and owner-operators on two route types; gazetted (classified for increased GVW limits) and non-gazetted (standard GVW limits for public roads). On non-gazetted roads the two approaches proved equally effective but when used together appeared to be less effective, while the owner operators appeared to have better management of the payload compared to hired drivers. On the gazetted roads all vehicles were underloaded by roughly the extra payload amount offered by the gazetted routes, which highlights the importance of communication and overall management to ensure payload potential is realised.Tactical management was explored with mill based, legal for trade, weigh bridge data from five companies across Australian forest operations. The research examines tare weights and focuses on opportunities to reduce transportation costs by converting the fleet to the lightest in-fleet tare weights. Focussing on the lowest in-fleet tare weights reduces the risks of the proposed change by avoiding pushing beyond technology and design not already deployed in the fleet. This study identified economic savings in excess of 20% were possible under the modelled scenarios.
“…The tare mass of a truck depends on axle configuration, truck body and drive terrain type, material types used for manufacturing, on-board equipment, and fuel [21]. The B-…”
Section: Discussionmentioning
confidence: 99%
“…The tare mass of a truck depends on axle configuration, truck body and drive terrain type, material types used for manufacturing, on-board equipment, and fuel [21]. The B-double and the road train, having longer trailer frames, more axles, and larger trucks to pull heavier weights, tend to have heavier tare weights but material types and on board equipment can be selected towards a lighter design (e.g., plastic mudguards, aluminum rims, bolsters and bull bars) and reduce how much of the legal GVW advantage is taken up by added vehicle tare weight.…”
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.
“…This involved removing records with GVWs less than an assumed tare weight and evaluating the 25th, 50th and 75th percentile GVWs compared with the original data presented for 3-S2s. Regehr et al (35) reported mean tare weights for various 3-S2 body types in Manitoba, ranging from 13,400 kg to 15,700 kg; therefore, the assumed tare weight values for the analysis were 14,000 kg and 16,000 kg.…”
Section: Sampling Methodsmentioning
confidence: 99%
“…The data presented in this longitudinal study include both published and unpublished on-road truck surveys conducted since the early 1970s by the Manitoba provincial government and the University of Manitoba Transport Information Group (UMTIG) at the Headingley and West Hawk weigh scales. These surveys were conducted for various research purposes (e.g., see 24,26,27,34,35) and, as such, had differing durations and data collection times typically designed to capture weekly and seasonal truck traffic trends. However, the general aim of the surveys was to establish a longitudinal truck weight dataset to monitor changes in truck operating weights.…”
Three primary policy changes on truck size and weight occurred in Canada over the past five decades: the 1974 Western Canadian Highway Strengthening Program, the 1988 Roads and Transportation Association of Canada Memorandum of Understanding on Heavy Vehicle Weights and Dimensions, and ongoing special permitting of longer combination vehicles. These regulatory changes influenced the gross vehicle weight (GVW) of the predominant truck configurations operating on principal Canadian highways. Using a unique time-series of truck weight data, this retrospective longitudinal study contributes insights about the magnitude and timing of the impacts of truck weight regulatory changes on operating GVWs that address current knowledge gaps and persistent uncertainties in models used to predict and evaluate truck weight regulatory changes. The analysis reveals that carriers hauling heavy (i.e., weigh-out) commodities adapt immediately to increases in GVW limits if there is no need to purchase new vehicles. When a regulatory change coincides with the introduction of a new, more productive vehicle configuration, the uptake of the new vehicle lags behind the regulatory change by a few years. Finally, configurations exhibit different GVW distributions and responses to increased GVW limits depending on whether the configurations are well suited for hauling weigh-out or cube-out commodities. This differential response demonstrates how regulations facilitate fleet diversity within the trucking industry’s approach to the road freight transport task.
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