Simulation–optimisation approach for sustainable planning of intermodal logistics in the Brazilian grain export industry

Abstract

Planning nationwide sustainable logistics for grain exports at a tactical level assumes flexibility in handling uncertainties. Despite the dynamic operations, the solution’s approach focuses mainly on optimisation, leaving out the queuing requirements. This paper presents a simulation–optimisation approach for planning the Brazilian intermodal grain export chain by integrating trucks, railways, and port terminal operations. We evaluate a base scenario, aiming to minimise CO2 emissions in rail transport, meeting demand requirements, and three alternative planning scenarios concerning demand retraction, trend, and expansion. The sustainable grain transportation plan of the base scenario shows a 66.8 kilo tons CO2/year emission reduction while increasing the exports by 2.51% (approximately 146 kilo tons grains/year) and a contribution to profit of $43.82 million in the short term. Scenario analyses open discussions about sustainable investments in intermodal transport for the medium and long term. The proposed approach is suitable for other commodity chains, representing a step towards consistently applying environmentally oriented supply chain planning.