Modelling and analysis of intermodal freight cost and CO2 emissions: application of mixed-integer linear programming and genetic algorithm Online publication date: Wed, 08-Dec-2021
by Rizwan Shoukat
World Review of Intermodal Transportation Research (WRITR), Vol. 10, No. 4, 2021
Abstract: This paper investigates the multi-objective problems of CO2 emissions and cost minimisation in the transport of Pakistan. Mixed-integer linear programming is used to formulate the problems. The data is obtained from the transport and logistics department from one of the largest manufacturing industries in Asia. The genetic algorithm's Pareto front solutions support industrialists and practitioners to trade-off between cost and CO2 emissions. Our results show a significant difference in the mode choice between road and intermodal. Intermodal transport is 68.9% less costly than road freight, whereas CO2 emissions in road freight transport are more than 64% higher than intermodal freight. We provide a sensitivity analysis that shows the critical parameters influencing the increase of cost and CO2 emissions in Pakistan's transportation operations. The study's findings are applicable to all other manufacturing sectors globally, including chemicals, textiles, machinery, and equipment.
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