An ANP model to support decision-making in a Portuguese pharmaceutical supply chain

Detalhes bibliográficos
Autor(a) principal: Abreu, Paulo Emil Nikolas Mourão de Melo e
Data de Publicação: 2013
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/10724
Resumo: Dissertação para obtenção do Grau de Mestre em Engenharia e Gestão Industrial
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spelling An ANP model to support decision-making in a Portuguese pharmaceutical supply chainSupply chain managementLeanAgileAnalytic network processKey performance indicatorsResponsivenessDissertação para obtenção do Grau de Mestre em Engenharia e Gestão IndustrialIn order to cope up with a volatile and scarce environment, companies have had to adopt new ways of thinking. One of them is embracing Supply Chain Management (SCM) and considering it as a crucial asset if willing to compete in the marketplace. In the context of SCM, it is important to understand how Lean and Agile SCM paradigms are adopted as means of achieving an efficient Supply Chain (SC). Besides the mentioned paradigms, many Key Performance Indicators (KPIs) and management practices come along with SCM, and it is important that SC managers identify the ones that bring the most competitive advantages. This dissertation intends to design a model based on the Analytic Network Process (ANP) in order to assist SC managers from different entities of a pharmaceutical SC in exploring efficient decisions to be made, with respect to KPIs and management practices, as means of achieving a highly competitive SC.Faculdade de Ciências e TecnologiaMachado, VirgíniaBarroso, AnaRUNAbreu, Paulo Emil Nikolas Mourão de Melo e2013-11-15T11:44:43Z20132013-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/10724enginfo: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:RCAAP2024-03-11T03:44:37Zoai:run.unl.pt:10362/10724Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:19:40.997243Repositório 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 An ANP model to support decision-making in a Portuguese pharmaceutical supply chain
title An ANP model to support decision-making in a Portuguese pharmaceutical supply chain
spellingShingle An ANP model to support decision-making in a Portuguese pharmaceutical supply chain
Abreu, Paulo Emil Nikolas Mourão de Melo e
Supply chain management
Lean
Agile
Analytic network process
Key performance indicators
Responsiveness
title_short An ANP model to support decision-making in a Portuguese pharmaceutical supply chain
title_full An ANP model to support decision-making in a Portuguese pharmaceutical supply chain
title_fullStr An ANP model to support decision-making in a Portuguese pharmaceutical supply chain
title_full_unstemmed An ANP model to support decision-making in a Portuguese pharmaceutical supply chain
title_sort An ANP model to support decision-making in a Portuguese pharmaceutical supply chain
author Abreu, Paulo Emil Nikolas Mourão de Melo e
author_facet Abreu, Paulo Emil Nikolas Mourão de Melo e
author_role author
dc.contributor.none.fl_str_mv Machado, Virgínia
Barroso, Ana
RUN
dc.contributor.author.fl_str_mv Abreu, Paulo Emil Nikolas Mourão de Melo e
dc.subject.por.fl_str_mv Supply chain management
Lean
Agile
Analytic network process
Key performance indicators
Responsiveness
topic Supply chain management
Lean
Agile
Analytic network process
Key performance indicators
Responsiveness
description Dissertação para obtenção do Grau de Mestre em Engenharia e Gestão Industrial
publishDate 2013
dc.date.none.fl_str_mv 2013-11-15T11:44:43Z
2013
2013-01-01T00:00:00Z
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/10362/10724
url http://hdl.handle.net/10362/10724
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.publisher.none.fl_str_mv Faculdade de Ciências e Tecnologia
publisher.none.fl_str_mv Faculdade de Ciências e Tecnologia
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
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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