A Tabu Search Approach for Production and Sustainable Routing Planning Decisions for Inbound Logistics in an Automotive Supply Chain
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 real-world automotive supply chain confirm the efficiency of the proposed solution method in terms of total cost, fuel consumptions and CPU time.
KeywordsMaterial requirements planning Vehicle routing Green logistics Tabu search
This work has been funded by the Universitat Politècnica de València projects: ‘Material Requirement Planning Fourth Generation (MRPIV)’ (Ref. PAID-05-12) and ‘Quantitative Models for the Design of Socially Responsible Supply Chains under Uncertainty Conditions. Application of Solution Strategies based on Hybrid Metaheuristics’ (PAID-06-12).
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