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BIGcoldTRUCKS: a BIG data dashboard for the management of COLD chain logistics in refrigerated TRUCKS

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dc.contributor.authorGonzález Vidal, Aurora
dc.contributor.authorMendoza-Bernal, José
dc.contributor.authorAntonio F. Skarmeta
dc.contributor.authorGómez-Bernal, Paula
dc.contributor.departmentIngeniería de la Información y las Comunicaciones
dc.contributor.otherFacultad de Informática
dc.date.accessioned2026-02-20T11:20:53Z
dc.date.available2026-02-20T11:20:53Z
dc.date.copyright© 2021, IEEE
dc.date.issued2021-12-15
dc.description.abstractThe technological development of the food industry is bringing new opportunities for the optimization of cold chain logistics. Many businesses of all sizes have been capturing their trips’ data and they are ready to apply Big Data analytics and use Big Data tools in order to extract knowledge and patterns that can be useful for decision-making and therefore provide added value to their business. In this line, we developed a shiny dynamic dashboard that provides a friendly user interface to the business in order to visualize and understand their data in the form of rankings, trips duration, demand seasonality, and geographic representation of the trips. The dashboard connects seamlessly with two Big Data tools, elasticSearch and the DEEP training facility from the European Open Science Hub (EOSC). More specifically, those tools were used for data indexing and demand estimation of products using cloud computing respectively. Thanks to the interconnection of these tools, we are able to enhance the dynamic dashboard with Big Data Analytics in the form of multivariate demand prediction of the products using a Long Short Term Memory Network and ease query time and computation, creating real value for the cold chain logistics industry. The development of this solution was done with the support of the EOSC-Digital Innovation Hub initiative through a business pilot.The dashboard functionalities were implemented using a real-case dataset which cannot be shown for privacy reasons. In its place, we have simulated a meat-based products database for the purpose of this paper.
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dc.identifier.citationGonzález-Vidal, A., Gómez-Bernal, P., Mendoza-Bernal, J., & Skarmeta, A. F. (2021, December). BIGcoldTRUCKS: a BIG data dashboard for the management of COLD chain logistics in refrigerated TRUCKS. In 2021 IEEE International Conference on Big Data (Big Data) (pp. 2894-2900). IEEE.
dc.identifier.doihttps://doi.org/10.1109/BigData52589.2021.9671633
dc.identifier.eisbn978-1-6654-3902-2
dc.identifier.isbn978-1-6654-4599-3
dc.identifier.urihttp://hdl.handle.net/10201/209202
dc.languageeng
dc.publisherIEEE
dc.relationThis work was co-funded by the Horizon 2020 projects EOSC-hub (grant number 777536) and PHOENIX (g.a. 893079). Also, this work has been sponsored by the GUARDIAN project from the Spanish MINECO, by Grant PID2020-112675RB-C44 funded by MCIN/AEI/10.13039/5011000011033 (ONOFRE Project) and the authors acknowledge the support from the DEEP- Hybrid-DataCloud services (EU H2020 g.a. 777435). It was also co-financed by the European Social Fund (ESF) and the Youth European Initiative (YEI) under the Spanish Seneca Foundation (CARM).
dc.relation.ispartof2021 IEEE International Conference on Big Data (Big Data)
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/9671633
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectSmart logistics
dc.subjectElasticSearch
dc.subjectCold chain
dc.subjectSmart transportation
dc.subjectBig Data
dc.subject.odsObjetivo 7: Energía
dc.titleBIGcoldTRUCKS: a BIG data dashboard for the management of COLD chain logistics in refrigerated TRUCKS
dc.typeinfo:eu-repo/semantics/lecture
dc.type.versioninfo:eu-repo/semantics/acceptedVersion
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relation.isAuthorOfPublicationcf8009bf-6088-449d-9f79-a516af312945
relation.isAuthorOfPublication.latestForDiscoverycf8009bf-6088-449d-9f79-a516af312945
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