Research on Air Cargo Overbooking Model

Yun-miao, Gui; Gong, Bengang; You-ming, Cheng

doi:10.1109/wicom.2008.1620

Cited by 4 publications

(2 citation statements)

References 7 publications

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“…In the works Becker and Wald (2008) and Popescu et al (2006), the authors focus on the prediction of the show-up rate in order to compute the optimal overbooking levels. The publications Yunmiao Gui et al (2008) and Luo et al (2009) solve an optimization problem considering fixed capacity for weight and volume in a single-leg flight, while Wang and Kao (2008) incorporates stochastic capacity and uses fuzzy logic to determine the optimal overbooking level using scenarios to represent uncertainty. Unlike their predecessors, Zou et al (2013) consider multiple leg routes and solve the resulting optimization problem using a newsvendor problem with two locations.…”

Section: Introductionmentioning

confidence: 99%

A risk averse approach to the capacity allocation problem in the airline cargo industry

Wada

Delgado

Pagnoncelli

2017

Journal of the Operational Research Society

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In air cargo transportation, capacity can be reserved via allotment, which are long-term contracts with fixed price, and free, which is the space not assigned to allotment contracts. In this later case, reservations are made closer to the departure date, and normally higher tariffs are charged. The demand, the tariff, and the show-up rate for the free mode are stochastic. We consider risk neutral and risk averse formulations, using the Conditional Value-at-Risk as a risk measure. We solve the resulting problems using the Sample Average Approximation and test our models with nine experiments representing different demand patterns using real data from a major airline.

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Section: Introductionmentioning

confidence: 99%

A risk averse approach to the capacity allocation problem in the airline cargo industry

Wada

Delgado

Pagnoncelli

2017

Journal of the Operational Research Society

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“…[3] adopted the existing overbooking model to the newly estimated weight show-up rate and compared to the normal show-up rate. [4] formulated two-dimensional air cargo overbooking model with an objective of maximizing profit. [5] formulated two two-dimensional air cargo overbooking models, and compared them between with the two models, i.e., RAB model and CAB model.…”

Section: Introductionmentioning

confidence: 99%

An Overbooking Model for Air Cargo Industry under Stochastic Booking Request and Show-Up Rate

Wannakrairot

Phumchusri

2015

AMM

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Overbooking is a technique which sells goods or services in excess of the available capacity because there is a possibility that some customers might not show up. In air cargo overbooking problem, overbooking model is more complex because of the two-dimensional characteristic. This paper presents a two-dimensional air cargo overbooking model to find the optimal overbooking level in order to minimize the total cost, which consists of spoilage and offloading costs. Booking requests and show-up rate are random variables with known distributions. Sensitivity analysis is used to observe the impact of the ratio between spoilage and offloading costs on the optimal overbooking level.

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