Advancing logistics 4.0 with the implementation of a big data warehouse: a demonstration case for the automotive industry
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://hdl.handle.net/1822/74151 |
Resumo: | The constant advancements in Information Technology have been the main driver of the Big Data concept’s success. With it, new concepts such as Industry 4.0 and Logistics 4.0 are arising. Due to the increase in data volume, velocity, and variety, organizations are now looking to their data analytics infrastructures and searching for approaches to improve their decision-making capabilities, in order to enhance their results using new approaches such as Big Data and Machine Learning. The implementation of a Big Data Warehouse can be the first step to improve the organizations’ data analysis infrastructure and start retrieving value from the usage of Big Data technologies. Moving to Big Data technologies can provide several opportunities for organizations, such as the capability of analyzing an enormous quantity of data from different data sources in an efficient way. However, at the same time, different challenges can arise, including data quality, data management, and lack of knowledge within the organization, among others. In this work, we propose an approach that can be adopted in the logistics department of any organization in order to promote the Logistics 4.0 movement, while highlighting the main challenges and opportunities associated with the development and implementation of a Big Data Warehouse in a real demonstration case at a multinational automotive organization. |
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Advancing logistics 4.0 with the implementation of a big data warehouse: a demonstration case for the automotive industryBig dataData warehouseLogistics 4.0Industry 4.0ImplementationCiências Naturais::Ciências da Computação e da InformaçãoScience & TechnologyIndústria, inovação e infraestruturasThe constant advancements in Information Technology have been the main driver of the Big Data concept’s success. With it, new concepts such as Industry 4.0 and Logistics 4.0 are arising. Due to the increase in data volume, velocity, and variety, organizations are now looking to their data analytics infrastructures and searching for approaches to improve their decision-making capabilities, in order to enhance their results using new approaches such as Big Data and Machine Learning. The implementation of a Big Data Warehouse can be the first step to improve the organizations’ data analysis infrastructure and start retrieving value from the usage of Big Data technologies. Moving to Big Data technologies can provide several opportunities for organizations, such as the capability of analyzing an enormous quantity of data from different data sources in an efficient way. However, at the same time, different challenges can arise, including data quality, data management, and lack of knowledge within the organization, among others. In this work, we propose an approach that can be adopted in the logistics department of any organization in order to promote the Logistics 4.0 movement, while highlighting the main challenges and opportunities associated with the development and implementation of a Big Data Warehouse in a real demonstration case at a multinational automotive organization.This work was supported by FCT–Fundação para a Ciência e Tecnologia—within the R&D Units Project Scope: UIDB/00319/2020 and doctoral scholarship grants: PD/BDE/142895/2018 and PD/BDE/142900/2018.MDPIUniversidade do MinhoSilva, Nuno Alberto RibeiroBarros, Júlio Dinis LopesSantos, Maribel YasminaCosta, Carlos Filipe Machado SilvaCortez, PauloCarvalho, Maria SameiroGonçalves, João N. C.2021-092021-09-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/74151engSilva, N.; Barros, J.; Santos, M.Y.; Costa, C.; Cortez, P.; Carvalho, M.S.; Gonçalves, J.N.C. Advancing Logistics 4.0 with the Implementation of a Big Data Warehouse: A Demonstration Case for the Automotive Industry. Electronics 2021, 10, 2221. https://doi.org/10.3390/electronics101822212079-929210.3390/electronics10182221https://www.mdpi.com/2079-9292/10/18/2221info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T12:13:03Zoai:repositorium.sdum.uminho.pt:1822/74151Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:05:05.152922Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Advancing logistics 4.0 with the implementation of a big data warehouse: a demonstration case for the automotive industry |
title |
Advancing logistics 4.0 with the implementation of a big data warehouse: a demonstration case for the automotive industry |
spellingShingle |
Advancing logistics 4.0 with the implementation of a big data warehouse: a demonstration case for the automotive industry Silva, Nuno Alberto Ribeiro Big data Data warehouse Logistics 4.0 Industry 4.0 Implementation Ciências Naturais::Ciências da Computação e da Informação Science & Technology Indústria, inovação e infraestruturas |
title_short |
Advancing logistics 4.0 with the implementation of a big data warehouse: a demonstration case for the automotive industry |
title_full |
Advancing logistics 4.0 with the implementation of a big data warehouse: a demonstration case for the automotive industry |
title_fullStr |
Advancing logistics 4.0 with the implementation of a big data warehouse: a demonstration case for the automotive industry |
title_full_unstemmed |
Advancing logistics 4.0 with the implementation of a big data warehouse: a demonstration case for the automotive industry |
title_sort |
Advancing logistics 4.0 with the implementation of a big data warehouse: a demonstration case for the automotive industry |
author |
Silva, Nuno Alberto Ribeiro |
author_facet |
Silva, Nuno Alberto Ribeiro Barros, Júlio Dinis Lopes Santos, Maribel Yasmina Costa, Carlos Filipe Machado Silva Cortez, Paulo Carvalho, Maria Sameiro Gonçalves, João N. C. |
author_role |
author |
author2 |
Barros, Júlio Dinis Lopes Santos, Maribel Yasmina Costa, Carlos Filipe Machado Silva Cortez, Paulo Carvalho, Maria Sameiro Gonçalves, João N. C. |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Silva, Nuno Alberto Ribeiro Barros, Júlio Dinis Lopes Santos, Maribel Yasmina Costa, Carlos Filipe Machado Silva Cortez, Paulo Carvalho, Maria Sameiro Gonçalves, João N. C. |
dc.subject.por.fl_str_mv |
Big data Data warehouse Logistics 4.0 Industry 4.0 Implementation Ciências Naturais::Ciências da Computação e da Informação Science & Technology Indústria, inovação e infraestruturas |
topic |
Big data Data warehouse Logistics 4.0 Industry 4.0 Implementation Ciências Naturais::Ciências da Computação e da Informação Science & Technology Indústria, inovação e infraestruturas |
description |
The constant advancements in Information Technology have been the main driver of the Big Data concept’s success. With it, new concepts such as Industry 4.0 and Logistics 4.0 are arising. Due to the increase in data volume, velocity, and variety, organizations are now looking to their data analytics infrastructures and searching for approaches to improve their decision-making capabilities, in order to enhance their results using new approaches such as Big Data and Machine Learning. The implementation of a Big Data Warehouse can be the first step to improve the organizations’ data analysis infrastructure and start retrieving value from the usage of Big Data technologies. Moving to Big Data technologies can provide several opportunities for organizations, such as the capability of analyzing an enormous quantity of data from different data sources in an efficient way. However, at the same time, different challenges can arise, including data quality, data management, and lack of knowledge within the organization, among others. In this work, we propose an approach that can be adopted in the logistics department of any organization in order to promote the Logistics 4.0 movement, while highlighting the main challenges and opportunities associated with the development and implementation of a Big Data Warehouse in a real demonstration case at a multinational automotive organization. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-09 2021-09-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://hdl.handle.net/1822/74151 |
url |
https://hdl.handle.net/1822/74151 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Silva, N.; Barros, J.; Santos, M.Y.; Costa, C.; Cortez, P.; Carvalho, M.S.; Gonçalves, J.N.C. Advancing Logistics 4.0 with the Implementation of a Big Data Warehouse: A Demonstration Case for the Automotive Industry. Electronics 2021, 10, 2221. https://doi.org/10.3390/electronics10182221 2079-9292 10.3390/electronics10182221 https://www.mdpi.com/2079-9292/10/18/2221 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
MDPI |
publisher.none.fl_str_mv |
MDPI |
dc.source.none.fl_str_mv |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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