Green Airline-Fleet Assignment with Uncertain Passenger Demand and Fuel Price

Although air transport contributes to globalization, airline emissions have attracted focus in green logistics. In this work, we investigate the airline-fleet assignment problem from a risk-averse perspective which uncertain demand and fuel price are considered simultaneously. The objective is maximise total profit fashion, i.e., weighted sum of expected conditional value at risk profit. An appropriate can reduce use carbon dioxide emissions. For problem, two-stage stochastic programming model constructed. first stage consists assigning aircraft families flight legs, while second determines specific deployment with realized information. To solve sample average approximation (SAA) approach firstly applied. efficient string-based heuristic is, further, developed. Numerical experiments conducted sensitivity analysis performed. results show efficiency proposed managerial insights drawn.