| dc.creator | Ferrara, Miguel | |
| dc.creator | Corsano, Gabriela | |
| dc.creator | Montagna, Jorge Marcelo | |
| dc.date | 2014-09 | |
| dc.date | 2014 | |
| dc.date | 2014-10-28T15:27:07Z | |
| dc.identifier | http://sedici.unlp.edu.ar/handle/10915/42002 | |
| dc.identifier | http://43jaiio.sadio.org.ar/proceedings/SII/18_Ferrara%20et%20al..pdf | |
| dc.identifier | issn:2313-9102 | |
| dc.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. | |
| dc.description | Sociedad Argentina de Informática e Investigación Operativa (SADIO) | |
| dc.format | application/pdf | |
| dc.format | 209-220 | |
| dc.language | en | |
| dc.rights | http://creativecommons.org/licenses/by/3.0/ | |
| dc.rights | Creative Commons Attribution 3.0 Unported (CC BY 3.0) | |
| dc.subject | Ciencias Informáticas | |
| dc.subject | supply chain | |
| dc.subject | planning | |
| dc.subject | customer satisfaction | |
| dc.subject | defective products | |
| dc.title | Supply chain planning considering the production of defective products | |
| dc.type | Objeto de conferencia | |
| dc.type | Objeto de conferencia | |
