D 2022

USE OF ALGORITHM IN THE PREDICTION OF QUANTITY DEMANDED IN THE ACCOMMODATION SERVICES

PETŘÍČEK, Martin and Štěpán CHALUPA

Basic information

Original name

USE OF ALGORITHM IN THE PREDICTION OF QUANTITY DEMANDED IN THE ACCOMMODATION SERVICES

Name (in English)

USE OF ALGORITHM IN THE PREDICTION OF QUANTITY DEMANDED IN THE ACCOMMODATION SERVICES

Authors

PETŘÍČEK, Martin and Štěpán CHALUPA

Edition

Prague, 10 th INTERNATIONAL CONFERENCE PROCEEDINGS CURRENT TRENDS IN SPA, HOSPITALITY AND TOURISM, p. 210-219, 10 pp. 2022

Publisher

Institute of Hospitality Management and Economics

Other information

Type of outcome

Stať ve sborníku

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

Organization unit

University College Prague – University of International Relations and Institute of Hospitality Management and Economics, Ltd.

ISBN

978-80-7632-076-5

Keywords in English

Hotel, Optimization, Prediction, SARIMA model

Tags

International impact, Reviewed
Změněno: 26/10/2022 10:08, doc. Ing. Martin Petříček, Ph.D.

Abstract

ORIG EN

V originále

Accurate prediction is a key basis for making the proper decisions within the management of any accommodation facility. The prediction of the quantity demanded thus represents one of the basic knowledge of a solid management system. The paper focuses on discussing and presenting the possibilities of using individual prediction techniques based on time series analysis. The SARIMA models, which in their modified form provide an appropriate basis for the application, seem to be a suitable element for the needs of accommodation services. The correct setting of the input values (p, d, q) (P, D, Q) can then be solved by using the presented algorithm based on the Akaike information criterion.

In English

Accurate prediction is a key basis for making the proper decisions within the management of any accommodation facility. The prediction of the quantity demanded thus represents one of the basic knowledge of a solid management system. The paper focuses on discussing and presenting the possibilities of using individual prediction techniques based on time series analysis. The SARIMA models, which in their modified form provide an appropriate basis for the application, seem to be a suitable element for the needs of accommodation services. The correct setting of the input values (p, d, q) (P, D, Q) can then be solved by using the presented algorithm based on the Akaike information criterion.
Displayed: 22/11/2024 05:07