Research Article
Study Based on Integer Linear Programming on the Optimization of Airline Operation Strategies During the COVID-19 Pandemic
@INPROCEEDINGS{10.4108/eai.9-12-2022.2327628, author={Xuanhong Guo}, title={Study Based on Integer Linear Programming on the Optimization of Airline Operation Strategies During the COVID-19 Pandemic}, proceedings={Proceedings of the 4th Management Science Informatization and Economic Innovation Development Conference, MSIEID 2022, December 9-11, 2022, Chongqing, China}, publisher={EAI}, proceedings_a={MSIEID}, year={2023}, month={3}, keywords={covid-19 pandemic flight operations assignment model}, doi={10.4108/eai.9-12-2022.2327628} }- Xuanhong Guo
Year: 2023
Study Based on Integer Linear Programming on the Optimization of Airline Operation Strategies During the COVID-19 Pandemic
MSIEID
EAI
DOI: 10.4108/eai.9-12-2022.2327628
Abstract
The aviation industry witnessed a severe decline in the volume of traffic due to the spread of Covid-19 in 2020. The profits of major airlines plummeted. The previous passenger experience-oriented flight arrangement strategies no longer adapt to the rapid-changing market, and even make things escalated. Thus, an optimized model based on integer linear programming was proposed aims at cutting down the overall cost of operation. Key variables like oil price, aircraft types, capacity are considered in this model. We testify our model on a data set that recorded transportation information of six busiest airways in China. Results show our model can help airlines save money effectively and productively.
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