An analytic network process approach for sales forecasting

Voulgaridou, D; Kirytopoulos, K; Leopoulos, V

dc.contributor.author	Voulgaridou, D	en
dc.contributor.author	Kirytopoulos, K	en
dc.contributor.author	Leopoulos, V	en
dc.date.accessioned	2014-03-01T02:45:57Z
dc.date.available	2014-03-01T02:45:57Z
dc.date.issued	2009	en
dc.identifier.issn	11092858	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32480
dc.subject	Analytic network process	en
dc.subject	Multicriteria decision analysis	en
dc.subject	New product sales forecast	en
dc.subject	Publishing industry	en
dc.title	An analytic network process approach for sales forecasting	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/s12351-008-0026-2	en
heal.identifier.secondary	http://dx.doi.org/10.1007/s12351-008-0026-2	en
heal.publicationDate	2009	en
heal.abstract	New product sales forecast is a difficult but essential task for companies, as it drives a variety of multifunctional decisions. Most new product forecasting literature presents sophisticated statistical techniques and complex methodologies with little or no thought given to ease of implementation. As a result, there is a significant gap between what forecast academics create and what forecast models professionals really seek. This study proposes a new product sales forecast model based on an Analytic Network Process framework. The analytic network process (ANP) is a multicriteria decision analysis technique that takes into account both tangible and intangible criteria with interdependencies and feedback among them. It is argued that the proposed framework is more flexible and is more comprehensive than traditional methods and previously developed models. The ANP model is illustrated through a real example concerning the sales forecast of a new edition (book). © 2008 Springer-Verlag.	en
heal.journalName	Operational Research	en
dc.identifier.doi	10.1007/s12351-008-0026-2	en
dc.identifier.volume	9	en
dc.identifier.issue	1	en
dc.identifier.spage	35	en
dc.identifier.epage	53	en