Analysis of variables influencing the cost of wood freight: the case of southeastern Brazil

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dc.creatorThainar Rodrigues da Silva
dc.creatorStanley Schettino
dc.creatorRoldão Carlos Andrade Lima
dc.creatorRafael dos Santos Figueiredo
dc.creatorMaria Fernanda Lousada Antunes
dc.date.accessioned2024-10-02T21:10:31Z
dc.date.accessioned2025-09-08T23:55:09Z
dc.date.available2024-10-02T21:10:31Z
dc.date.issued2023-09-06
dc.identifier.doihttps://doi.org/10.1080/14942119.2023.2255360
dc.identifier.issn1913-2220
dc.identifier.urihttps://hdl.handle.net/1843/77127
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofInternational Journal of Forest Engineering
dc.rightsAcesso Restrito
dc.subjectEconomia florestal
dc.subjectMadeira - Transporte
dc.subjectTransporte ferroviário de carga
dc.subject.otherForest sector
dc.subject.otherWood supply
dc.subject.otherWood transportation
dc.subject.otherchain management
dc.subject.otherFreight cost;
dc.subject.otherRoad modal
dc.titleAnalysis of variables influencing the cost of wood freight: the case of southeastern Brazil
dc.typeArtigo de periódico
local.citation.epage112
local.citation.issue1
local.citation.spage105
local.citation.volume35
local.description.resumoThis study aimed to analyze the variables that influence freight cost in the forest supply chain and to fit nonlinear regression models to estimate the freight cost of wood transportation from the production areas to the processing units. The data used for cost analysis considered the following variables: volume of wood (m3); average fuel consumption (km/l) and average speed of the complete journey (km/h) per round trip. The results showed that there is a strong positive correlation between the variables transport distance and the freight cost of the wood, as well as between the moisture content of the wood and the freight cost of the wood. The load capacity of the vehicle combinations showed a mean negative correlation with the freight cost of the wood, and the length of the wood did not show a correlation with the cost of the transported wood. The fitted models for estimating the value of wood freight showed a high degree of adjustment of the dependent variable, indicating a good capacity for extrapolating the results from these variables. Such results emphasize the importance of optimizing transport routes, controlling wood moisture, maximizing vehicle volumetric load capacity, and using cost forecast models in order to make correct and efficient decisions in the forest supply chain context.
local.publisher.countryBrasil
local.publisher.departmentICA - INSTITUTO DE CIÊNCIAS AGRÁRIAS
local.publisher.initialsUFMG
local.url.externahttps://www.tandfonline.com/doi/full/10.1080/14942119.2023.2255360

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