114
Views
0
CrossRef citations to date
0
Altmetric
Research Article

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

ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Pages 105-112 | Received 16 Apr 2023, Accepted 30 Aug 2023, Published online: 06 Sep 2023

References

  • Acuna M, Sessions J, Zamora R, Brown M, Ghaffariyan MR. 2019. Methods to manage and optimize forest biomass supply chains: a review. Current For Rep. 5(3):124–141. doi:10.1007/s40725-019-00093-4.
  • ANTT. 2017. Agência Nacional de Transportes Terrestres. Planilha de Simulação de Custo da Operação de Transporte de Cargas [Internet]. [accessed 2022 May 4]. http://www.antt.gov.br/index.php/content/view/42064/Planilha_de_Simulacao_de_Custo_da_Operacao_de_Transporte_de_Cargas.html
  • Arcego H, Robert RCG, Brown RO. 2019. Effect of log length on forestry loading and unloading. Floresta e Ambiente. 26(2):1–6. doi:10.1590/2179-8087.026917.
  • Asher S, Garg T, Novosad P. 2020. The ecological impact of transportation infrastructure. Econ J. 130(629):1173–1199. doi:10.1093/ej/ueaa013.
  • Camargo DA, Munis RA, Miyajima RH, Lima RCA, Simões D. 2022. Mechanized wood extraction: impacts on operators’ hearing health. Forests. 13(10):1–10. doi:10.3390/f13101553.
  • Canal WD, Carvalho AMM, Figueiró CG, de CO CA, de F FL, Donato DB. 2020. Impact of wood moisture in charcoal production and quality. Floresta e Ambiente. 27(1):1–7. doi:10.1590/2179-8087.099917.
  • Chen C, Kuang Y, Zhu S, Burgert I, Keplinger T, Gong A, Li T, Berglund L, Eichhorn SJ, Hu L. 2020. Structure–property–function relationships of natural and engineered wood. Nat Rev Mater. 5(9):642–666. doi:10.1038/s41578-020-0195-z.
  • Cohen J. 1988. Statistical power analysis for the behavioral sciences. 2nd ed. New Jersey: Lawrence Erlbaum Associates.
  • Demir E, Bektas T, Laporte G. 2011. A comparative analysis of several vehicle emission models for road freight transportation. Transp Res Part D: Transp And Environ. 6(5):347–357. doi:10.1016/j.trd.2011.01.011.
  • EPL, ONTL. 2021. Empresa de Planejamento e Logística S.A. Observatório Nacional de Transporte e Logística. Boletim de logística: a retomada dos investimentos ferroviários para aumentar a eficiência da matriz de transportes [Internet]. [accessed 2022 May 4]. https://ontl.epl.gov.br/wp-content/uploads/2021/06/Setor-Ferroviario-Brasileiro.pdf
  • Eufrade-Junior HJ 2019. Prediction and control of wood moisture content for optimized eucalypt energy supply chain [Internet]. [accessed 2022 Jun 25]. http://hdl.handle.net/11449/182137.
  • Frisk M, Göthe-Lundgren M, Jörnsten K, Rönnqvist M. 2010. Cost allocation in collaborative forest transportation. Eur J Oper Res. 205(1):448–458. doi:10.1016/j.ejor.2010.01.015.
  • Giesel G, Brand MA, Milagres FR, Damasio RAP. 2020. Effect of the log storage of Pinus taeda L. on the quality of kraft pulp. Floresta. 50(4):1844–1853. doi:10.5380/rf.v50i4.66338.
  • Jiang S, Persson C, Akesson J 2019. Punctuality prediction: combined probability approach and random forest modelling with railway delay statistics in Sweden. In: 2019 IEEE Intelligent Transportation Systems Conference (ITSC). Auckland, New Zealand: IEEE; p. 2797–2802.
  • Gomes FJB, Colodette JL, Burnet A, Batalha LAR, Santos FA, Demuner IF. 2015. Thorough characterization of Brazilian new generation of eucalypt clones and grass for pulp production. Int J Of Fore Resear. 2015:1–10. doi:10.1155/2015/814071.
  • Kärhä K, Kortelainen E, Karjalainen A, Haavikko H, Palander T. 2023. Fuel consumption of a high-capacity transport (HCT) vehicle combination for industrial roundwood hauling: a case study of laden timber truck combinations in Finland. Int J For Eng. 34(2):284–293. doi:10.1080/14942119.2022.2163871.
  • Khajavi H, Rastgoo A. 2023. Predicting the carbon dioxide emission caused by road transport using a random forest (RF) model combined by meta-heuristic algorithms. Sustain Cities Soc. 93(104503):1–18. doi:10.1016/j.scs.2023.104503.
  • Kogler C, Rauch P. 2018. Discrete event simulation of multimodal and unimodal transportation in the wood supply chain: a literature review. Silva Fenn. 52(4). article id 9984. doi: 10.14214/sf.9984.
  • Kogler C, Rauch P. 2019. A discrete-event simulation model to test multimodal strategies for a greener and more resilient wood supply. Can J Forest Res. 49(10):1298–1310. doi:10.1139/cjfr-2018-0542.
  • Kogler C, Rauch P. 2020. Contingency plans for the wood supply chain based on bottleneck and queuing time analyses of a discrete event simulation. Forests. 11(4):1–23. doi:10.3390/f11040396.
  • Kogler C, Stenitzer A, Rauch P. 2020. Simulating combined self-loading truck and semitrailer truck transport in the wood supply chain. Forests. 11(12):1245. doi:10.3390/f11121245.
  • Lestari RY, IDGP P, Cahyana BT. 2019. Effect of moisture content on the quality of wood pellet made from jabon and ketapang sawdust. J Penelitian Hasil Hutan. 37(1):1–12. doi:10.20886/jphh.2019.37.1.1-12.
  • Lima MDR, Massuque J, Bufalino L, Trugilho PF, Ramalho FMG, Protásio TP, Hein PRG. 2022. Clarifying the carbonization temperature effects on the production and apparent density of charcoal derived from Amazonia wood wastes. J Anal Appl Pyrolysis. 166(105636):1–8. doi:10.1016/j.jaap.2022.105636.
  • Lopes-Junior DV, Paes JB, Jankowsky IP, Segundinho PGA, Vidaurre GB. 2017. Influences of diameter and wood moisture on quality of the preservative treatment. Floresta e Ambiente. 24(1):e20160207. doi:10.1590/2179-8087.020716.
  • Machado CC, Lopes ES. 2000. Analysis of the effect of eucalypt log length on the productivity and cost of wood harvesting and transport. Cerne. 6(2):124–129.
  • Machado CC, Lopes ES, Birro MH. 2009. Elementos básicos do Transporte Florestal Rodoviário. 2nd ed. Viçosa: Editora UFV.
  • Machado RR, Silva ML, Machado CC, Leite HG. 2006. Evalution of logistic performance of wood hauling using petri net in a forest industry of Minas Gerais. Árvore. 30(6):999–1008. doi:10.1590/S0100-67622006000600015.
  • Malinen J, Nousiainen J, Palojärvi K, Palander T. 2014. Prospects and challenges of timber trucking in a changing operational environment in Finland. Croat J For Eng. 35(1):91–100.
  • Junior MS de M, Pereira IM, Machado ELM, da LL MS, de P RP, Otoni TJO. 2016. Dry grassland post-fire impacts in Biribiri State Park, Minas Gerais, Brazil. Floresta e Ambiente. 24(e00110814):1–9. doi:10.1590/2179-8087.110814.
  • Mokhirev A, Gerasimova M, Pozdnyakova M 2019. Finding the optimal route of wood transportation. IOP Conference Series: Earth and Environmental Science; Voronezh, Russian Federation. 226( 012053):1–7.
  • Monedero E, Portero H, Lapuerta M. 2015. Pellet blends of poplar and pine sawdust: Effects of material composition, additive, moisture content and compression die on pellet quality. Fuel Process Technol. 132(1):15–23. doi:10.1016/j.fuproc.2014.12.013.
  • Nascimento AC, Âmp L, Soares TS, de FL. 2011. Technical and economical analysis of the forest harvesting with feller-buncher. Cerne. 17(1):9–15. doi:10.1590/S0104-77602011000100002.
  • Ngarachu A, Wood C, Krogman H, Tshuma E, Mudenda D. 2019. “Bottlenecks or growth zones? A study of the chirundu and beitbridge border economies. South Afric J Of Policy And Develo. 4(2):6–14.
  • Palander T, Haavikko H, Kortelainen E, Kärhä K, Borz SA. 2020. Improving environmental and energy efficiency in wood transportation for a carbon-neutral forest industry. Forests. 11(1194):1–17. doi:10.3390/f11111194.
  • Peyrov S, Lotfalian M, Adeli K, Pentek T. 2021. Optimization of wood distribution and transportation network with emphasis on rail transport. Forest Rese And Develo. 7(3):427–441.
  • Rocha QS, Lima RCA, Munis RA, Pereira G, Simões D. 2022. Economic viability of the whole tree harvest under conditions of uncertainty: a study in southeastern Brazil. Int J For Eng. 33(1):1–8. doi:10.1080/14942119.2022.2029316.
  • Sauna-Aho J. 2021. High-capacity transport vehicles increase efficiency, reduce road wear, energy and CO2 emissions – Finland shows the way. Am J Of Eng, Sci And Technol. 13:1–11.
  • Schettino S, Gonçalves TS, Lima RCA, Minette LJ, Figueiredo RDS. 2022. Energetic efficiency of forest transport as a tool for sustainable management of the activity. J Of Exp Agric Int. 44(12):157–166. doi:10.9734/jeai/2022/v44i122089.
  • Schettino S, Minette LJ, Lima RCA, Nascimento GSP, Caçador SS, Vieira MPL. 2021. Forest harvesting in rural properties: Risks and worsening to the worker’s health under the ergonomics approach. Int J Ind Ergon. 82(1):1–7. doi:10.1016/j.ergon.2021.103087.
  • Seber GAF, Wild CJ. 2003. Nonlinear regression. Auckland: Wiley-Blackwel. doi: 10.1002/9780471722199.
  • de ST, Pécora A, JE RA, LeBel L. 2021. Integrating natural wood drying and seasonal trucks’ workload restrictions into forestry transportation planning. Omega. 98(102135):1–10. doi:10.1016/j.omega.2019.102135.
  • Simões D, Cavalcante FS, Lima RCA, Rocha QS, Pereira G, Miyajima RH. 2022. Optimal forest road density as decision-making factor in wood extraction. Forests. 13(10):1–13. doi:10.3390/f13101703.
  • Soares NS, Silva ML, Rezende JLP, Gomes MFM. 2010. Competitividade da cadeia produtiva da madeira de eucalipto no Brasil. Rev Árvore. 34(5):917–928. doi:10.1590/S0100-67622010000500017.
  • Soliani RD. 2015. An overview of agribusiness logistics in Brazil. Aust J Of Basic And Appll Sci. 9(31):410–422.
  • Soranso DR, Minette LJ, Marçal M, Marins JCB, Schettino S, Lima RCA, Oliveira M. 2022. Thermography in ergonomic assessment: a study of wood processing industry workers. PeerJ. 10(e13973):1–14. doi:10.7717/peerj.13973.
  • Souza CL, Schettino S, Silva DD, Guimarães NV. 2019. Carbon balance of the reforestation wood production process in Minas Gerais Northern. Caderno de Ciências Agrárias. 11(1):1–8. doi:10.35699/2447-6218.2019.15160.
  • STATSOFT, Inc. 1995. STATISTICA for windows, release 5.0. Computer program manual. Tulsa: StatSoft, Inc.
  • Stolarski MJ, Stachowicz P, Sieniawski W, Krzyzaniak M, Olba-Ziety E. 2021. Quality and delivery costs of wood chips by railway vs. road transport. Energies. 14(21):6877. doi:10.3390/en14216877.
  • Strandgard M, Acuna M, Turner P, Mirowski L. 2021. Use of modelling to compare the impact of roadside drying of Pinus radiata D.Don logs and logging residues on delivered costs using high capacity trucks in Australia. Biomass Bioenergy. 147(106000):1–10. doi:10.1016/j.biombioe.2021.106000.
  • Thompson RG, Taniguchi E. 2017. City logistics and freight transport. In Handbook of logistics and supply-chain management. Emerald Group Publishing Limited; pp. 393–405. doi: 10.1108/9780080435930-025.
  • Väätäinen K, Anttila P, Eliasson L, Enström J, Laitila J, Prinz R, Routa J. 2021. Roundwood and biomass logistics in Finland and Sweden. Croat J For Eng. 42(1):39–61. doi:10.5552/crojfe.2021.803.
  • Varol T, Ertugrul M, Özel HB, Emir T, Çetin M. 2019. The effects of rill erosion on unpaved forest road. Appl Ecol Env Res. 17(1):825–839. doi:10.15666/aeer/1701_825839.
  • Yun H, Clift R, Bi X. 2020. Process simulation, techno-economic evaluation and market analysis of supply chains for torrefied wood pellets from British Columbia: Impacts of plant configuration and distance to market. Renew Sust Energ Rev. 127(109745):1–11. doi:10.1016/j.rser.2020.109745.
  • Zhou A, Tam L, Yu Z, Lau D. 2015. Effect of moisture on the mechanical properties of CFRP–wood composite: an experimental and atomistic investigation. Compos: Part B. 71:63–73. doi:10.1016/j.compositesb.2014.10.051.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.