Previsão de falta de materiais no contexto de gestão inteligente de inventário: uma aplicação de aprendizado desbalanceado

Autor: Santis, Rodrigo Barbosa de

Publikováno v: Repositório Institucional da UFJFUniversidade Federal de Juiz de ForaUFJF.

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Externí odkaz: https://repositorio.ufjf.br/jspui/handle/ufjf/6861

ARTIFICIAL NEURAL NETWORKS FOR MATERIAL CLASSIFICATION IN PURCHASING PORTFOLIO MANAGEMENT

Autor: Santis, Rodrigo Barbosa de, Aguiar, Eduardo Pestana de, Goliatt, Leonardo

Publikováno v: Revista Interdisciplinar de Pesquisa em Engenharia; Vol. 2 No. 10 (2016): COMPUTATIONAL INTELLIGENCE TECHNIQUES FOR OPTMIZATION AND DATA MODELING (II); 39-50
Revista Interdisciplinar de Pesquisa em Engenharia; v. 2 n. 10 (2016): COMPUTATIONAL INTELLIGENCE TECHNIQUES FOR OPTMIZATION AND DATA MODELING (II); 39-50
Revista Interdisciplinar de Pesquisa em Engenharia
Universidade de Brasília (UnB)
instacron:UNB
Revista Interdisciplinar de Pesquisa em Engenharia-RIPE; v. 2, n. 10 (2016): COMPUTATIONAL INTELLIGENCE TECHNIQUES FOR OPTMIZATION AND DATA MODELING (II); 39-50
Documentación de las Ciencias de la Información, Vol 1 (1976)
Documentación de las Ciencias de la Información; Vol. 1 (1976); 65
Revistas Científicas Complutenses
Universidad Complutense de Madrid (UCM)
Documentación de las Ciencias de la Información; Vol 1 (1976); 65

Strategic sourcing is an important technique within supply chain management area that allows companies to understand their purchasing portfolio and to better take advantage of their bargain power versus key suppliers, reducing supply risks to an acce

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::d2e0d56c648651d3a7fcbd32cdc9ad4b
https://periodicos.unb.br/index.php/ripe/article/view/21726