Supply chain planning considering the production of defective products
When the markets become more competitive, the customer satisfac-tion 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 abo...
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| Formato: | Documento de conferencia acceptedVersion docunento de conferencia |
| Lenguaje: | Inglés |
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| Acceso en línea: | http://hdl.handle.net/20.500.12272/3088 |
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I68-R174-20.500.12272-3088 |
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I68-R174-20.500.12272-30882023-06-28T22:43:04Z Supply chain planning considering the production of defective products Corsano, Gabriela Montagna, Jorge Marcelo Ferrara, Miguel Angel Cadena de suministros Supply chain Productos defectuosos Defective products Customer satisfaction Planning When the markets become more competitive, the customer satisfac-tion 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 ex-pected 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 plan-ning. Fil: UTN. Facultad Regional Santa Fe Peer Reviewed 2018-09-07T17:49:04Z 2018-09-07T17:49:04Z 2014 info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/acceptedVersion docunento de conferencia http://hdl.handle.net/20.500.12272/3088 eng "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) info:eu-repo/semantics/openAccess http://creativecommons.org/publicdomain/zero/1.0/ A partir de su presentación CC0 1.0 Universal application/pdf |
| institution |
Universidad Tecnológica Nacional |
| institution_str |
I-68 |
| repository_str |
R-174 |
| collection |
RIA - Repositorio Institucional Abierto (UTN) |
| language |
Inglés |
| topic |
Cadena de suministros Supply chain Productos defectuosos Defective products Customer satisfaction Planning |
| spellingShingle |
Cadena de suministros Supply chain Productos defectuosos Defective products Customer satisfaction Planning Corsano, Gabriela Montagna, Jorge Marcelo Ferrara, Miguel Angel Supply chain planning considering the production of defective products |
| topic_facet |
Cadena de suministros Supply chain Productos defectuosos Defective products Customer satisfaction Planning |
| description |
When the markets become more competitive, the customer satisfac-tion 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 ex-pected 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 plan-ning. |
| format |
Documento de conferencia acceptedVersion docunento de conferencia |
| author |
Corsano, Gabriela Montagna, Jorge Marcelo Ferrara, Miguel Angel |
| author_facet |
Corsano, Gabriela Montagna, Jorge Marcelo Ferrara, Miguel Angel |
| author_sort |
Corsano, Gabriela |
| 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 |
2018 |
| url |
http://hdl.handle.net/20.500.12272/3088 |
| work_keys_str_mv |
AT corsanogabriela supplychainplanningconsideringtheproductionofdefectiveproducts AT montagnajorgemarcelo supplychainplanningconsideringtheproductionofdefectiveproducts AT ferraramiguelangel supplychainplanningconsideringtheproductionofdefectiveproducts |
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