A soybean supply chain model to analyze the greenhouse gas emissions of the transport sector

dc.creatorVerrengia, María de los Milagros
dc.creatorVecchietti, Aldo Rodomiro
dc.creator.orcid0009-0002-2838-2189
dc.creator.orcid0000-0002-0791-9496
dc.date.accessioned2025-06-05T18:48:59Z
dc.date.issued2022-05-12
dc.description.abstractThis article presents a mathematical model of the soybean´s supply chain for Argentina where the different stakeholders and the material flows among them are represented. The transport used in this sector are trucks, trains, and river ships. The objective is to analyze the emissions of greenhouse gases (GHG) generated by the transportation in this sector using electric trucks as an alternative to biodiesel ones. The model generated is a mixed multi-period / multi-objective linear integer model, destined at minimizing operating and GHG emissions cost. The accuracy of the model is compared against two statistical studies made by the Transport Agency of Argentina in 2014 and 2017 regarding the soybean transportation. The results show a good fit with those reports. Two scenarios are compared, in the first one only biodiesel trucks are used for transportation, while in the second one trains, barges and electric trucks are included. Results show the tradeoff between investment costs and reduction of emissions where it is possible to achieve a 60% GHG decrease, which is far to compensate for the investment cost.
dc.description.abstractTrabajo presentado en el 32nd European Symposium on Computer Aided Process Engineering – ESCAPE-32 y publicado en Computer Aided Chemical Engineering (Vol. 51).
dc.description.affiliationFil: Vecchietti, Aldo Rodomiro. CONICET-UTN. Instituto de desarrollo y diseño (INGAR); Argentina.
dc.description.affiliationFil: Verrengia, María de los Milagros. CONICET-UTN. Instituto de desarrollo y diseño (INGAR); Argentina.
dc.description.peerreviewedPeer Reviewed
dc.formatpdf
dc.identifier.citationVerrengia, M.M., & Vecchietti, A.R. (2022). A soybean supply chain model to analyze the greenhouse gas emissions of the transport sector. En: Computer Aided Chemical Engineering (Vol. 51, pp. 1327–1332). Elsevier. https://doi.org/10.1016/B978-0-323-95879-0.50222-8
dc.identifier.doihttps://doi.org/10.1016/B978-0-323-95879-0.50222-8
dc.identifier.urihttps://hdl.handle.net/20.500.12272/13177
dc.language.isoen
dc.publisherComputer Aided Chemical Engineering (Book Series)
dc.relation.projectidSITCAFE0008418TC
dc.relation.projectidModelado de la Cadena de Suministro de da Industria de da Soja en Argentina con Técnicas de Programación Matemática y Ciencia de Datos
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsAttribution 4.0 Internationalen
dc.rights.holderLos autores
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.rights.useCreativeCommons
dc.subjectSoybean
dc.subjectSupply chain
dc.subjectEmissions
dc.subjectTransportation
dc.titleA soybean supply chain model to analyze the greenhouse gas emissions of the transport sector
dc.typeinfo:eu-repo/semantics/bookPart
dc.type.versionpublisherVersion

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