A tabu search approach for production and sustainable routing planning decisions for inbound logistics in an automotive supply Chain

The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-14078-0_7
[EN] In this paper, a mixed-integer mathematical programming model is proposed to address a production and routing problem related to inbound logistics processes in supply chains environments. This model is also enriched with sustainable issues related to routing decisions by introducing additional fuel consumption and pollutants emissions calculations into the objective function. For the solution methodology, a two-phase decoupled solution procedure based on exact algorithms for the production model and a tabu search algorithm for the routing model is adopted. Results of computational experiments performed with a realworld automotive supply chain confirm the efficiency of the proposed solution method in terms of total cost, fuel consumptions and CPU time.