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dc.contributor.authorBoudahri, Fethi-
dc.contributor.authorBennekrouf, Mohamed-
dc.contributor.authorBelkaid, Fayçal-
dc.contributor.authorSari, Zaki-
dc.date.accessioned2013-06-13T10:31:07Z-
dc.date.available2013-06-13T10:31:07Z-
dc.date.issued2012-07-
dc.identifier.issn1694-0814-
dc.identifier.urihttp://dspace.univ-tlemcen.dz/handle/112/2255-
dc.descriptionIJCSI International Journal of Computer Science Issues, Vol. 9, Issue 4, No 1, July 2012.en_US
dc.description.abstractThe supply chain of agricultural products has received a great deal of attention lately due to issues related to public health. Something that has become apparent is that in the near future the design and operation of agricultural supply chains will be subject to more stringent regulations and closer monitoring, in particular those for products destined for human consumption (agri-foods). This work is concerned with the planning of a real agri-food supply chain for chicken meat for the city of Tlemcen in Algéria. The agri-food supply chain network design is a critical planning problem for reducing the cost of the chain. More precisely the problem is to redesign the existing supply chain and to optimize the distribution planning. As mentioned in our paper, the entire problem is decomposed into two problems, and each problem is solved in sequential manner, to get the final solution. LINGO optimization solver (12.0) has been used to get the solution to the problem.en_US
dc.language.isoenen_US
dc.publisherUniversity of Tlemcenen_US
dc.subjectagri-food supply chains networken_US
dc.subjectclustering clusteren_US
dc.subjectoptimizationen_US
dc.subjectCO2 emissionsen_US
dc.titleApplication of a Capacitated Centered Clustering Problem for Design of Agri-food Supply Chain Networken_US
dc.typeArticleen_US
Collection(s) :Articles internationaux

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