Simulation-based key performance indicators for evaluating the quality of airline demand forecasting

Cleophas, Catherine and Frank, Michael and Kliewer, Natalia (2009) Simulation-based key performance indicators for evaluating the quality of airline demand forecasting. Journal of Revenue and Pricing Management, 8 (4). pp. 330-342. ISSN 1476-6930

Full text not available from this repository.

Abstract

This article describes an approach to evaluating the quality of airline demand forecasting. It presents a a simulation framework that includes a detailed model for generating artificial demand. In this system forecasting methods can be compared in a stable, controllable environment. Their performance may be rated based on the overall system output in terms of revenue and bookings as well as through common error measurements. In addition, the use of a psychic forecast as a benchmark is proposed and illustrated by first results.

Item Type: Journal Article
Journal or Publication Title: Journal of Revenue and Pricing Management
Uncontrolled Keywords: /dk/atira/pure/subjectarea/asjc/1400/1408
Subjects:
Departments: Lancaster University Management School > Management Science
ID Code: 87918
Deposited By: ep_importer_pure
Deposited On: 06 Oct 2017 19:34
Refereed?: Yes
Published?: Published
Last Modified: 11 Feb 2020 03:38
URI: https://eprints.lancs.ac.uk/id/eprint/87918

Actions (login required)

View Item View Item