Abstract
With the efforts of different sectors to decouple the negative environmental impacts to the environment, the aviation industry has formulated different strategies to achieve net zero carbon emissions by 2050. Sustainable aviation fuel (SAF) contributes to 80 % of all efforts towards environmental sustainability. Despite its significance, no studies have considered SAF in fuel loading problems. In this study, a multi-objective mathematical optimization model is formulated for an airline fuel loading decision support system considering SAF by optimizing cost and environmental impact simultaneously. An illustrative case study is solved using the Efficiency algorithm to implement and test the model that uses less computational effort, yielding a total cost of USD 2,811,474 and a total environmental impact of 5,665,381 kg CO2. Scenario analyses are done to validate and understand the behavior of the model. Results reveal important insights regarding decisions to be made that would balance out the economic and environmental benefits of the airline.
