Aggregation systems for sales forecasting

Merigó, JM; Palacios-Marqués, D; Ribeiro-Navarrete, B

Aggregation systems for sales forecasting

Merigó, JM Palacios-Marqués, D Ribeiro-Navarrete, B

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Publisher:: ELSEVIER SCIENCE INC
Publication Type:: Journal Article
Citation:: Journal of Business Research, 2015, 68, (11), pp. 2299-2304
Issue Date:: 2015-11-01

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Field	Value	Language
dc.contributor.author	Merigó, JM
dc.contributor.author	Palacios-Marqués, D
dc.contributor.author	Ribeiro-Navarrete, B
dc.date.accessioned	2023-03-30T13:55:44Z
dc.date.available	2023-03-30T13:55:44Z
dc.date.issued	2015-11-01
dc.identifier.citation	Journal of Business Research, 2015, 68, (11), pp. 2299-2304
dc.identifier.issn	0148-2963
dc.identifier.issn	1873-7978
dc.identifier.uri	http://hdl.handle.net/10453/168878
dc.description.abstract	Sales forecasting consists of calculating the expected sales of a specific product or company. An important issue when dealing with sales forecasting is the calculation of the average sales, usually using the arithmetic mean or the weighted average. This study introduces new methods for calculating the average sales. These methods are two modern aggregation operators: the ordered weighted average, and the unified aggregation operator. The main advantage of this approach is the possibility to deal with uncertain and complex environments in a more complete way. The study develops some key examples through multi-person and multi-criteria techniques. The study also presents a numerical example regarding the calculation of the average sales of a product in a set of countries.
dc.language	English
dc.publisher	ELSEVIER SCIENCE INC
dc.relation.ispartof	Journal of Business Research
dc.relation.isbasedon	10.1016/j.jbusres.2015.06.015
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	1505 Marketing
dc.subject.classification	Marketing
dc.title	Aggregation systems for sales forecasting
dc.type	Journal Article
utslib.citation.volume	68
utslib.for	1505 Marketing
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	closed_access	*
dc.date.updated	2023-03-30T13:55:43Z
pubs.issue	11
pubs.publication-status	Published
pubs.volume	68
utslib.citation.issue	11

Abstract:

Sales forecasting consists of calculating the expected sales of a specific product or company. An important issue when dealing with sales forecasting is the calculation of the average sales, usually using the arithmetic mean or the weighted average. This study introduces new methods for calculating the average sales. These methods are two modern aggregation operators: the ordered weighted average, and the unified aggregation operator. The main advantage of this approach is the possibility to deal with uncertain and complex environments in a more complete way. The study develops some key examples through multi-person and multi-criteria techniques. The study also presents a numerical example regarding the calculation of the average sales of a product in a set of countries.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/168878