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

Ming Liu, Yueyu Ding, Lihua Sun (), Runchun Zhang, Yue Dong, Zihan Zhao, Yiting Wang and Chaoran Liu
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Ming Liu: Urban Mobility Institute, Tongji University, Shanghai 201804, China
Yueyu Ding: Urban Mobility Institute, Tongji University, Shanghai 201804, China
Lihua Sun: School of Economics & Management, Tongji University, Shanghai 200092, China
Runchun Zhang: School of Economics & Management, Tongji University, Shanghai 200092, China
Yue Dong: School of Economics & Management, Tongji University, Shanghai 200092, China
Zihan Zhao: School of Economics & Management, Tongji University, Shanghai 200092, China
Yiting Wang: School of Economics & Management, Tongji University, Shanghai 200092, China
Chaoran Liu: School of Economics & Management, Tongji University, Shanghai 200092, China

Sustainability, 2023, vol. 15, issue 2, 1-22

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

Keywords: fleet-assignment problem; green logistics; uncertain passenger demand; uncertain fuel price; risk averse; string-based heuristic (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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