Selección y utilización de niveles de desagregación adecuados en pronósticos de series temporales: Caso de estudio en una empresa de suscripción utilizando el proceso analítico jerárquico

Artikel

Hierarchical aggregation/disaggregation of time series in order to make forecasts is a frequent challenge in business and econometric scenarios. This work presents a novel approach for selecting an adequate time series disaggregation level as a starting point for making forecasts. The methodology combines qualitative criteria - such as business resources and decision environment - and quantitative criteria - such as information quality and forecastability - in a multicriteria decision making task which is addressed through the analytic hierarchy process (AHP) technique. Results from a study case in a subscription business model company show the usefulness of combining AHP and time series forecasting techniques and the importance of multicriteria decision-making in the task of selecting an adequate aggregation/disaggregation level.

Angaben zum Objekt

• Sprache: Spanisch

Verweise und Beziehungen

• Erschienen in: Journal: Revista de Métodos Cuantitativos para la Economía y la Empresa ; ISSN: 1886-516X ; Volume: 15 ; Year: 2013 ; Pages: 45-64 ; Sevilla: Universidad Pablo de Olavide

Klassifikation und Themen

• Klassifikation: Wirtschaft ; Operations Research; Statistical Decision Theory ; Production Management
• Thema: multicriteria decision making ; analytical hierarchy process ; time series aggregation ; time series forecasting ; subscription business model

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Alvarado Valencia, Jorge Andrés ; García Buitrago, Javier Alexander
• Ereignis: Veröffentlichung
• (wer): Universidad Pablo de Olavide
• (wo): Sevilla
• (wann): 2013

Weitere Informationen

• Handle: http://hdl.handle.net/10419/113849
• Letzte Aktualisierung: 10.03.2025, 11:45 MEZ