Skip navigation
Veuillez utiliser cette adresse pour citer ce document : http://repositorio2.unb.br/jspui/handle/10482/29702
Fichier(s) constituant ce document :
Fichier TailleFormat 
ARTIGO_FrameworkManageSuppliers.pdf1,38 MBAdobe PDFVoir/Ouvrir
Titre: Framework to manage suppliers for strategic alliances with a multicriteria method
Auteur(s): Guarnieri, Patricia
Almeida, Adiel Teixeira de
Assunto:: Alianças estratégicas (Negócios)
Fornecedores
Date de publication: jui-2015
Editeur: Associação Brasileira de Engenharia de Produção
Référence bibliographique: GUARNIERI, Patricia; ALMEIDA, Adiel Teixeira de. Framework to manage suppliers for strategic alliances with a multicriteria method. Production, São Paulo, v. 25, n. 3, p. 713-724, jul./set. 2015. Disponível em: <http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132015000300713&lng=en&nrm=iso>. Acesso em: 12 abr. 2018. Epub Aug 18, 2015. doi: http://dx.doi.org/10.1590/0103-6513.132213.
Abstract: Processes that identify top suppliers of new products or services and evaluate the performance of the existing suppliers are essential to strategic alliances. The objective of this article is to propose a framework to select partners for strategic alliances in supply chain management using a multi-criteria method. To reach this objective, the multi-criteria modeling procedure was used to detach the steps of a decision process, which comprises the methodology used in this article. To illustrate the use of the model, a numerical application, with characteristics from a small supermarket using the ELECTRE III method, was presented. The main contribution of the model proposed is to improve the process used to select suppliers for strategic alliances by considering multiple criteria called 'soft factors'. The proposed model suggests a systematic procedure that can reduce uncertainty in the decision process.
metadata.dc.description.unidade: Faculdade de Economia, Administração, Contabilidade e Gestão de Políticas Públicas (FACE)
Departamento de Administração (FACE ADM)
Licença:: Production - This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0). Fonte: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132015000300713&lng=en&nrm=iso. Acesso em: 12 abr. 2018.
DOI: http://dx.doi.org/10.1590/0103-6513.132213
Collection(s) :Artigos publicados em periódicos e afins

Affichage détaillé " class="statisticsLink btn btn-primary" href="/jspui/handle/10482/29702/statistics">



Tous les documents dans DSpace sont protégés par copyright, avec tous droits réservés.