Supply chain planning considering the production of defective products

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When the markets become more competitive, the customer satisfaction level starts to be a more important factor. One of the principal components to achieve the customer satisfaction is to minimize the amount of defective or non-standard products. Therefore, it is convenient to consider decisions abou...

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Autores principales: Ferrara, Miguel, Corsano, Gabriela, Montagna, Jorge Marcelo
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2014
Materias:
Ciencias Informáticas
supply chain
planning
customer satisfaction
defective products
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/42002
http://43jaiio.sadio.org.ar/proceedings/SII/18_Ferrara%20et%20al..pdf
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-42002
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
supply chain
planning
customer satisfaction
defective products
spellingShingle Ciencias Informáticas
supply chain
planning
customer satisfaction
defective products
Ferrara, Miguel
Corsano, Gabriela
Montagna, Jorge Marcelo
Supply chain planning considering the production of defective products
topic_facet Ciencias Informáticas
supply chain
planning
customer satisfaction
defective products
description When the markets become more competitive, the customer satisfaction level starts to be a more important factor. One of the principal components to achieve the customer satisfaction is to minimize the amount of defective or non-standard products. Therefore, it is convenient to consider decisions about product quality when the supply chain is planned. In this work, a mixed integer linear programming mathematical (MILP) model is developed for the supply chain planning, which determines impact of different decisions over the expected number of defective products. These decisions are: supplier selection, inbound control methods selection, and production process selection. The ob-jective function is the cost minimization associated to the supply chain planning.
format Objeto de conferencia
Objeto de conferencia
author Ferrara, Miguel
Corsano, Gabriela
Montagna, Jorge Marcelo
author_facet Ferrara, Miguel
Corsano, Gabriela
Montagna, Jorge Marcelo
author_sort Ferrara, Miguel
title Supply chain planning considering the production of defective products
title_short Supply chain planning considering the production of defective products
title_full Supply chain planning considering the production of defective products
title_fullStr Supply chain planning considering the production of defective products
title_full_unstemmed Supply chain planning considering the production of defective products
title_sort supply chain planning considering the production of defective products
publishDate 2014
url http://sedici.unlp.edu.ar/handle/10915/42002
http://43jaiio.sadio.org.ar/proceedings/SII/18_Ferrara%20et%20al..pdf
work_keys_str_mv AT ferraramiguel supplychainplanningconsideringtheproductionofdefectiveproducts
AT corsanogabriela supplychainplanningconsideringtheproductionofdefectiveproducts
AT montagnajorgemarcelo supplychainplanningconsideringtheproductionofdefectiveproducts
bdutipo_str Repositorios
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