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

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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.Journal of Revenue and Pricing Management (2009) 8, 330–342. doi:10.1057/rpm.2009.17; published online 12 June 2009
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Document Type: Research Article

Publication date: 2009-08-01

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