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

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Simulation-based key performance indicators for evaluating the quality of airline demand forecasting. / Cleophas, Catherine; Frank, Michael; Kliewer, Natalia.
In: Journal of Revenue and Pricing Management, Vol. 8, No. 4, 08.2009, p. 330-342.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Cleophas, C, Frank, M & Kliewer, N 2009, 'Simulation-based key performance indicators for evaluating the quality of airline demand forecasting', Journal of Revenue and Pricing Management, vol. 8, no. 4, pp. 330-342. https://doi.org/10.1057/rpm.2009.17

APA

Cleophas, C., Frank, M., & Kliewer, N. (2009). Simulation-based key performance indicators for evaluating the quality of airline demand forecasting. Journal of Revenue and Pricing Management, 8(4), 330-342. https://doi.org/10.1057/rpm.2009.17

Vancouver

Cleophas C, Frank M, Kliewer N. Simulation-based key performance indicators for evaluating the quality of airline demand forecasting. Journal of Revenue and Pricing Management. 2009 Aug;8(4):330-342. Epub 2009 Jun 12. doi: 10.1057/rpm.2009.17

Author

Cleophas, Catherine ; Frank, Michael ; Kliewer, Natalia. / Simulation-based key performance indicators for evaluating the quality of airline demand forecasting. In: Journal of Revenue and Pricing Management. 2009 ; Vol. 8, No. 4. pp. 330-342.

Bibtex

@article{f1f15f57990b437fa4429ccfb2f89b16,
title = "Simulation-based key performance indicators for evaluating the quality of airline demand forecasting",
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.",
keywords = "forecasting, revenue management, simulation",
author = "Catherine Cleophas and Michael Frank and Natalia Kliewer",
year = "2009",
month = aug,
doi = "10.1057/rpm.2009.17",
language = "English",
volume = "8",
pages = "330--342",
journal = "Journal of Revenue and Pricing Management",
issn = "1476-6930",
publisher = "Palgrave Macmillan Ltd.",
number = "4",

}

RIS

TY - JOUR

T1 - Simulation-based key performance indicators for evaluating the quality of airline demand forecasting

AU - Cleophas, Catherine

AU - Frank, Michael

AU - Kliewer, Natalia

PY - 2009/8

Y1 - 2009/8

N2 - 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.

AB - 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.

KW - forecasting

KW - revenue management

KW - simulation

U2 - 10.1057/rpm.2009.17

DO - 10.1057/rpm.2009.17

M3 - Journal article

VL - 8

SP - 330

EP - 342

JO - Journal of Revenue and Pricing Management

JF - Journal of Revenue and Pricing Management

SN - 1476-6930

IS - 4

ER -