2006INFORMS Journal on Applied AnalyticsRequires access

Estimating Air-Cargo Overbooking Based on a Discrete Show-Up-Rate Distribution

Andreea Popescu, Pınar Keskinocak, Ellis Johnson, Mariana LaDue, Raja G. Kasilingam

Open publisher page 57 citations

Abstract

Most airlines overbook their actual capacity (for both passengers and cargo) because part of the booked demand often does not show up at the flight departure. A key element of overbooking is a model that accurately predicts the show-up rate of the current bookings. Given the increasing importance of cargo within their business, most major airlines now scrutinize estimates of show-up rates for cargo bookings. The current practice is to apply the same methodology to the cargo sector as in the passenger business. We investigate the suitability of the current practice, and based on the results, we propose an alternate show-up-rate estimator for cargo and demonstrate its benefits. Tested on real-world data from a major airline as well as on simulated data, the study shows that improved estimation of the show-up rate can improve profits and customer service.

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What this paper is about

Most airlines overbook their actual capacity (for both passengers and cargo) because part of the booked demand often does not show up at the flight departure. A key element of overbooking is a model that accurately predicts the show-up rate of the current bookings. Given the increasing importance of cargo within their business, most major airlines now scrutinize estimates of show-up rates for cargo bookings. The current practice is to apply the same methodology to the cargo sector as in the passenger business. We investigate the suitability of the current practice, and based on the results, we propose an alternate show-up-rate estimator for cargo and demonstrate its benefits. Tested on real-world data from a major airline as well as on simulated data, the study shows that improved estimation of the show-up rate can improve profits and customer service.

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Available abstract

Most airlines overbook their actual capacity (for both passengers and cargo) because part of the booked demand often does not show up at the flight departure. A key element of overbooking is a model that accurately predicts the show-up rate of the current bookings. Given the increasing importance of cargo within their business, most major airlines now scrutinize estimates of show-up rates for cargo bookings. The current practice is to apply the same methodology to the cargo sector as in the passenger business. We investigate the suitability of the current practice, and based on the results, we propose an alternate show-up-rate estimator for cargo and demonstrate its benefits. Tested on real-world data from a major airline as well as on simulated data, the study shows that improved estimation of the show-up rate can improve profits and customer service.

Key concepts: Air cargo, Estimator, Computer science, Operations research, Service (business), Revenue management, Key (lock), Estimation

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