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Goods transportation has increased in recent years due to new and more intensive distribution processes, such as door-to-door distribution generated by e-commerce and other marketing and logistics strategies. Transportation processes generates negative impacts in society and environment since it produces traffic jams and pollution. This paper presents a multiobjective model that simultaneously optimizes freight transportation and inventory quantity through collaboration between customers and suppliers, and also considers the distribution process CO2 emissions. With this model decision makers in logistics can find a suitable combination between logistics costs and pollutants emission reduction. This model is solved using a multiobjective genetic model based on the NSGA II algorithm.

Multiobjective Model to Reduce Logistics Costs and CO2 Emissions in Goods Distribution