Title :
Air cargo overbooking model with stochastic capacity and penalty cost under CVaR framework
Author :
Lei, Licai ; Zhou, Jing ; Wang, Hong
Author_Institution :
Sch. of Manage. & Eng., Nanjing Univ., Nanjing, China
Abstract :
Overbooking has been studied intensively. However, those studies have paid little attention to the effect of penalty cost and degree of airlines´ risk aversion on the decision-making. A cost model like a newsboy model is presented for optimal overbooking level of air cargo with stochastic capacity and penalty cost. Then the overbooking model of air cargo was proposed under the Conditional value-at-risk (CVaR) framework. The analytical results show the optimal overbooking level is monotonically decreasing about penalty cost regardless of the airfreight carriers´ risk preferences. In contrast, the optimal overbooking level of risk-averse airfreight carriers depends on demand distribution and the degree of risk aversion, which may not be less than that of risk-neutral airfreight carriers.
Keywords :
costing; freight handling; operations research; optimisation; risk analysis; stochastic processes; transportation; air cargo overbooking model; airlines risk aversion degree; conditional value-at-risk framework; cost model; decision making; demand distribution; newsboy model; optimal overbooking; penalty cost; stochastic capacity; Aerospace industry; Aircraft; Cost function; Decision making; Intelligent systems; Payloads; Risk management; Stochastic processes; Stochastic systems; Uncertainty;
Conference_Titel :
Grey Systems and Intelligent Services, 2009. GSIS 2009. IEEE International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4914-9
Electronic_ISBN :
978-1-4244-4916-3
DOI :
10.1109/GSIS.2009.5408101