An ANP model to support decision-making in a Portuguese pharmaceutical supply chain
Autor(a) principal: | |
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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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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 |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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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 |
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1799137839301001216 |