Supply chain planning considering the production of defective products

Autores
Ferrara, Miguel; Corsano, Gabriela; Montagna, Jorge Marcelo
Año de publicación
2014
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
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.
Sociedad Argentina de Informática e Investigación Operativa (SADIO)
Materia
Ciencias Informáticas
supply chain
planning
customer satisfaction
defective products
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by/3.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/42002
Acceder
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network_name_str SEDICI (UNLP)
spelling Supply chain planning considering the production of defective productsFerrara, MiguelCorsano, GabrielaMontagna, Jorge MarceloCiencias Informáticassupply chainplanningcustomer satisfactiondefective productsWhen 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.Sociedad Argentina de Informática e Investigación Operativa (SADIO)2014-09info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf209-220http://sedici.unlp.edu.ar/handle/10915/42002enginfo:eu-repo/semantics/altIdentifier/url/http://43jaiio.sadio.org.ar/proceedings/SII/18_Ferrara%20et%20al..pdfinfo:eu-repo/semantics/altIdentifier/issn/2313-9102info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/3.0/Creative Commons Attribution 3.0 Unported (CC BY 3.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-03T10:34:00Zoai:sedici.unlp.edu.ar:10915/42002Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-03 10:34:00.802SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Supply chain planning considering the production of defective products
title Supply chain planning considering the production of defective products
spellingShingle Supply chain planning considering the production of defective products
Ferrara, Miguel
Ciencias Informáticas
supply chain
planning
customer satisfaction
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
dc.creator.none.fl_str_mv Ferrara, Miguel
Corsano, Gabriela
Montagna, Jorge Marcelo
author Ferrara, Miguel
author_facet Ferrara, Miguel
Corsano, Gabriela
Montagna, Jorge Marcelo
author_role author
author2 Corsano, Gabriela
Montagna, Jorge Marcelo
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
supply chain
planning
customer satisfaction
defective products
topic Ciencias Informáticas
supply chain
planning
customer satisfaction
defective products
dc.description.none.fl_txt_mv 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.
Sociedad Argentina de Informática e Investigación Operativa (SADIO)
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.
publishDate 2014
dc.date.none.fl_str_mv 2014-09
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/42002
url http://sedici.unlp.edu.ar/handle/10915/42002
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://43jaiio.sadio.org.ar/proceedings/SII/18_Ferrara%20et%20al..pdf
info:eu-repo/semantics/altIdentifier/issn/2313-9102
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/3.0/
Creative Commons Attribution 3.0 Unported (CC BY 3.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/3.0/
Creative Commons Attribution 3.0 Unported (CC BY 3.0)
dc.format.none.fl_str_mv application/pdf
209-220
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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score 13.13397

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