Artificial intelligence in supply chains

Detalhes bibliográficos
Autor(a) principal: Zapke, Martin
Data de Publicação: 2019
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/69190
Resumo: Artificial Intelligence (AI) is set to drive a new wave of digital disruption that redefines industries and propels unprecedented levels of innovation. As one of the most data-rich environments within companies, supply chains create significant opportunities to harness the benefits of AI. This study follows a qualitative research approach that aims to explore the impacts and applications of AI within the supply chain. It was found that AI creates a broad spectrum of use cases that drive efficiency, automation and customer-centricity across all components of the end-to-end supply chain.
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network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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spelling Artificial intelligence in supply chainsArtificial intelligenceSupply chainSupply chain managementDomínio/Área Científica::Ciências Sociais::Economia e GestãoArtificial Intelligence (AI) is set to drive a new wave of digital disruption that redefines industries and propels unprecedented levels of innovation. As one of the most data-rich environments within companies, supply chains create significant opportunities to harness the benefits of AI. This study follows a qualitative research approach that aims to explore the impacts and applications of AI within the supply chain. It was found that AI creates a broad spectrum of use cases that drive efficiency, automation and customer-centricity across all components of the end-to-end supply chain.Carvalho, José Crespo deRUNZapke, Martin2019-05-10T10:28:04Z2019-01-152019-01-15T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/69190TID:202223990enginfo: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:RCAAP2024-03-11T04:32:49Zoai:run.unl.pt:10362/69190Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:34:55.454671Repositório 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 Artificial intelligence in supply chains
title Artificial intelligence in supply chains
spellingShingle Artificial intelligence in supply chains
Zapke, Martin
Artificial intelligence
Supply chain
Supply chain management
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
title_short Artificial intelligence in supply chains
title_full Artificial intelligence in supply chains
title_fullStr Artificial intelligence in supply chains
title_full_unstemmed Artificial intelligence in supply chains
title_sort Artificial intelligence in supply chains
author Zapke, Martin
author_facet Zapke, Martin
author_role author
dc.contributor.none.fl_str_mv Carvalho, José Crespo de
RUN
dc.contributor.author.fl_str_mv Zapke, Martin
dc.subject.por.fl_str_mv Artificial intelligence
Supply chain
Supply chain management
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
topic Artificial intelligence
Supply chain
Supply chain management
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
description Artificial Intelligence (AI) is set to drive a new wave of digital disruption that redefines industries and propels unprecedented levels of innovation. As one of the most data-rich environments within companies, supply chains create significant opportunities to harness the benefits of AI. This study follows a qualitative research approach that aims to explore the impacts and applications of AI within the supply chain. It was found that AI creates a broad spectrum of use cases that drive efficiency, automation and customer-centricity across all components of the end-to-end supply chain.
publishDate 2019
dc.date.none.fl_str_mv 2019-05-10T10:28:04Z
2019-01-15
2019-01-15T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/69190
TID:202223990
url http://hdl.handle.net/10362/69190
identifier_str_mv TID:202223990
dc.language.iso.fl_str_mv eng
language eng
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.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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repository.mail.fl_str_mv
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