On Modelling and Solving Green Collaborative Tactical Transportation Planning
Author(s)
Gosch, Lukas
Prandtstetter, Matthias
Doerner, Karl F.
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Abstract
This paper presents a new mathematical model for tactical transportation planning in a horizontal collaboration defined by warehouse sharing and the joint organization of transport. The model features intermodal transport, handling and storage capacities, diverse products and realistic tariff structures with volume discounts. Furthermore, it allows for sustainable planning by associating estimated CO2 equivalent (CO2e) emissions to each logistic operation and then either optimize for transportation costs, emissions or both objectives. Subsequently, we derive a mixed-integer formulation for exact solution approaches and a hybrid heuristic to solve large-scale instances. The hybrid heuristic is composed of a slope scaling matheuristic we generalized to nonnegative integer variables and a second local search based refinement step, which reroutes flow of multiple products at once along lowest-cost paths in the network. Results obtained from simulating collaboration in the Danube Region using the regional available transportation infrastructure including railway and shipping networks reveal significant saving potentials in both costs and CO2e emissions. Cost minimizing solutions always lead to reductions of the carbon footprint. However, minimizing for emissions can significantly further this reduction but requires a minimum size of the collaboration to operate cost-efficiently.
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2021-06
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