Supply chain planning considering the production of defective products
- Autores
- Corsano, Gabriela; Montagna, Jorge Marcelo; Ferrara, Miguel Angel
- Año de publicación
- 2014
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión aceptada
- 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 objective function is the cost minimization associated to the supply chain planning.
Fil: UTN. Facultad Regional Santa Fe
Peer Reviewed - Materia
-
Cadena de suministros
Supply chain
Productos defectuosos
Defective products
Customer satisfaction
Planning - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- 2018-09-07T17:49:04Z
- Repositorio
.jpg)
- Institución
- Universidad Tecnológica Nacional
- OAI Identificador
- oai:ria.utn.edu.ar:20.500.12272/3088
Ver los metadatos del registro completo
| id |
RIAUTN_ffde28be25de510a2fb7e0033bfe641b |
|---|---|
| oai_identifier_str |
oai:ria.utn.edu.ar:20.500.12272/3088 |
| network_acronym_str |
RIAUTN |
| repository_id_str |
a |
| network_name_str |
Repositorio Institucional Abierto (UTN) |
| spelling |
Supply chain planning considering the production of defective productsCorsano, GabrielaMontagna, Jorge MarceloFerrara, Miguel AngelCadena de suministrosSupply chainProductos defectuososDefective productsCustomer satisfactionPlanningWhen 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 objective function is the cost minimization associated to the supply chain planning.Fil: UTN. Facultad Regional Santa FePeer Reviewed2018-09-07T17:49:04Z2018-09-07T17:49:04Z2014info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/acceptedVersiondocunento de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfapplication/pdfhttp://hdl.handle.net/20.500.12272/3088eng"Integración de sistemas soporte de decisión para la gestión óptima de la cadena de suministros utilizando sistemas empresariales." 25/O152van Hoek, R.I. “The contribution of performance measurement to the expansion of third party logistics alliances in the supply chain”. International Journal of Operations & Production Management 21, 15–29, (2001)Farahani R.Z., Rezapour S., Drezner T., Fallah S. “Competitive supply chain network design: An overview of classifications, models, solution techniques and applications”, Omega, in press, accepted in (2013). Mula J., Peidro D., Díaz-Madroñero M., Vicens E. “Mathematical programming models for supply chain production and transport planning”, European Journal of Operational Research, 204, 377–390, (2010)Franca R. B., Jones E.C., Richards C.N., Carlson J.P. “Multi-objective stochastic supply chain modeling to evaluate tradeoffs”, Int. J. Production Economics, 127, 292–299, (2010)Hsieh C.C., Liu Y.T., “Quality investment and inspection policy in a supplier– manufacturer supply chain”, Euro. J. of Oper. Research, 202, 717–729, (2010)Pal B., Sana S.S, Chaudhuri K. “Three-layer supply chain – A productioninventory model for reworkable items”, Applied Mathematics and Computation, 219, 530–543, (2012)Duffuaa SO., El-Ga'aly A., “A multi-objective optimization model for process targeting using sampling plans”, Computers & Industrial Engineering, 64, 309–317, (2013)info:eu-repo/semantics/openAccess2018-09-07T17:49:04Zhttp://creativecommons.org/publicdomain/zero/1.0/A partir de su presentaciónCC0 1.0 Universalreponame:Repositorio Institucional Abierto (UTN)instname:Universidad Tecnológica Nacional2026-09-24T12:47:13Zoai:ria.utn.edu.ar:20.500.12272/3088instacron:UTNInstitucionalhttp://ria.utn.edu.ar/Universidad públicaNo correspondehttp://ria.utn.edu.ar/oaigestionria@rec.utn.edu.ar; fsuarez@rec.utn.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:a2026-09-24 12:47:14.394Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacionalfalse |
| 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 Corsano, Gabriela Cadena de suministros Supply chain Productos defectuosos Defective products Customer satisfaction Planning |
| 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 |
Corsano, Gabriela Montagna, Jorge Marcelo Ferrara, Miguel Angel |
| author |
Corsano, Gabriela |
| author_facet |
Corsano, Gabriela Montagna, Jorge Marcelo Ferrara, Miguel Angel |
| author_role |
author |
| author2 |
Montagna, Jorge Marcelo Ferrara, Miguel Angel |
| author2_role |
author author |
| dc.subject.none.fl_str_mv |
Cadena de suministros Supply chain Productos defectuosos Defective products Customer satisfaction Planning |
| topic |
Cadena de suministros Supply chain Productos defectuosos Defective products Customer satisfaction Planning |
| 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 objective function is the cost minimization associated to the supply chain planning. Fil: UTN. Facultad Regional Santa Fe Peer Reviewed |
| 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 objective function is the cost minimization associated to the supply chain planning. |
| publishDate |
2014 |
| dc.date.none.fl_str_mv |
2014 2018-09-07T17:49:04Z 2018-09-07T17:49:04Z |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/acceptedVersion docunento de conferencia http://purl.org/coar/resource_type/c_5794 info:ar-repo/semantics/documentoDeConferencia |
| format |
conferenceObject |
| status_str |
acceptedVersion |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/20.500.12272/3088 |
| url |
http://hdl.handle.net/20.500.12272/3088 |
| dc.language.none.fl_str_mv |
eng |
| language |
eng |
| dc.relation.none.fl_str_mv |
"Integración de sistemas soporte de decisión para la gestión óptima de la cadena de suministros utilizando sistemas empresariales." 25/O152 van Hoek, R.I. “The contribution of performance measurement to the expansion of third party logistics alliances in the supply chain”. International Journal of Operations & Production Management 21, 15–29, (2001) Farahani R.Z., Rezapour S., Drezner T., Fallah S. “Competitive supply chain network design: An overview of classifications, models, solution techniques and applications”, Omega, in press, accepted in (2013) . Mula J., Peidro D., Díaz-Madroñero M., Vicens E. “Mathematical programming models for supply chain production and transport planning”, European Journal of Operational Research, 204, 377–390, (2010) Franca R. B., Jones E.C., Richards C.N., Carlson J.P. “Multi-objective stochastic supply chain modeling to evaluate tradeoffs”, Int. J. Production Economics, 127, 292–299, (2010) Hsieh C.C., Liu Y.T., “Quality investment and inspection policy in a supplier– manufacturer supply chain”, Euro. J. of Oper. Research, 202, 717–729, (2010) Pal B., Sana S.S, Chaudhuri K. “Three-layer supply chain – A productioninventory model for reworkable items”, Applied Mathematics and Computation, 219, 530–543, (2012) Duffuaa SO., El-Ga'aly A., “A multi-objective optimization model for process targeting using sampling plans”, Computers & Industrial Engineering, 64, 309–317, (2013) |
| dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess 2018-09-07T17:49:04Z http://creativecommons.org/publicdomain/zero/1.0/ A partir de su presentación CC0 1.0 Universal |
| eu_rights_str_mv |
openAccess |
| rights_invalid_str_mv |
2018-09-07T17:49:04Z http://creativecommons.org/publicdomain/zero/1.0/ A partir de su presentación CC0 1.0 Universal |
| dc.format.none.fl_str_mv |
application/pdf application/pdf |
| dc.source.none.fl_str_mv |
reponame:Repositorio Institucional Abierto (UTN) instname:Universidad Tecnológica Nacional |
| reponame_str |
Repositorio Institucional Abierto (UTN) |
| collection |
Repositorio Institucional Abierto (UTN) |
| instname_str |
Universidad Tecnológica Nacional |
| repository.name.fl_str_mv |
Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacional |
| repository.mail.fl_str_mv |
gestionria@rec.utn.edu.ar; fsuarez@rec.utn.edu.ar |
| _version_ |
1877230934401482752 |
| score |
13.265058 |