Laboratoire de Génie Informatique et d’Automatique de l’Artois


Collaborative transportation management to improve sustainability : a case study

Le 8 octobre 2014 à 14h00 Salle des séminaires du LGI2A, FSA, Béthune
Nicolas DANLOUP Doctorant LGI2A
Le séminaire est présenté en anglais.

Collaborative supply chains have become recently an important element for many companies to improve their supply chain efficiency. Moreover, to be competitive in industrial world, the implementation of collaborative supply chains should give positive effect that can be related to sustainable development. We can found several kind of model of collaboration in the literature, but here we deal with collaboration among shippers in less than truckload transportation. I present a Mixed-Integer Linear Model to pool supply chains by adding two consolidation hubs between suppliers and customers in order to reduce the transportation greenhouse gas emissions. In addition in the model, we allow multi-pick routing on the suppliers’ side and multi-deliver routing on the customers’ side to optimize the filling rates of the trucks. This model is tested with a case study with real data from two agri-food British companies delivering customers all over
Europe. Both companies send shipments separately to their customers and one of the characteristics of this case study is that vehicles have to pass by two ports to cross the sea : one in England and one in the rest of Europe. By mixing their loads, thanks to the model, we are able to reduce the total amount of transportation emissions.