Application of a Clustering Based Location-Routing Model to a Real Agri-food Supply Chain Redesign

  • Fethi Boudahri
  • Wassila Aggoune-Mtalaa
  • Mohammed Bennekrouf
  • Zaki Sari
Part of the Studies in Computational Intelligence book series (SCI, volume 457)

Abstract

The supply planning of agricultural products and in particular perishable products is a critical issue in the supply chain management field due to high safety and quality risks associated with the delays in the products delivery. This work is concerned with the planning of a real agri-food supply chain for poultry products. More precisely the problem is to redesign the existing supply chain and to optimize the distribution planning. To this aim a clustering-based location-routing model is applied in a sequential manner. Furthermore, environmental costs of road transportation in terms of CO2 emissions are taken into account in the computations. The proposed integrated approach permits to minimise the total costs of the agri-food supply chain not only in terms of economy but also in terms of ecology.

Keywords

clustering based location-routing agri-food supply chains optimisation CO2 emissions 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    ADEME: Bilan Carbone ”Entreprises et Collectivités”. Guide des facteurs d’émissions_version 6.1 (2010), http://www.ademe.fr
  2. 2.
    Aramyan, C., Ondersteijn, O., Van Kooten, O., Lansink, A.O.: Performance indicators in agri-food production chains. In: Quantifying the Agri-Food Supply Chain, pp. 49–66. Springer, Netherlands (2006)CrossRefGoogle Scholar
  3. 3.
    Ahumada, O., Villalobos, J.R.: Application of planning models in the agri-food supply chain: A review. European Journal of Operational Reseearch 195, 1–20 (2009)CrossRefGoogle Scholar
  4. 4.
    Chaves, A.A., Lorena, L.A.N.: Hybrid evolutionary algorithm for the Capacitated Centered Clustering Problem. Expert Systems with Applications 38, 5013–5018 (2011)CrossRefGoogle Scholar
  5. 5.
    European Energy Exchange, http://www.eex.com/en/
  6. 6.
    Entreprises Pour l’Environnement, http://www.epe-asso.org/
  7. 7.
    Lucas, M.T., Chhajed, D.: Applications of location analysis in agriculture: A survey. Journal of the Operational Research Society 55, 561–578 (2004)MATHCrossRefGoogle Scholar
  8. 8.
    Nagy, G., Salhi, S.: Location-routing: Issues, models and methods. European Journal of Operational Research 177, 649–672 (2007)MathSciNetMATHCrossRefGoogle Scholar
  9. 9.
    Rong, A., Akkerman, R., Grunow, M.: An optimization approach for managing fresh food quality throughout the supply chain. International Journal of Production Economics 131, 421–429 (2011)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Fethi Boudahri
    • 1
  • Wassila Aggoune-Mtalaa
    • 2
  • Mohammed Bennekrouf
    • 1
  • Zaki Sari
    • 1
  1. 1.MELT LaboratoryUniversity of TlemcenTlemcenAlgeria
  2. 2.Public Research Centre Henri TudorLuxembourg, G.DLuxembourg

Personalised recommendations