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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA)
Costa, A., Correia, J. & Ferreira, A. (2013). A decision support tool for retail product assortment. Global Management Conference.
Exportar Referência (IEEE)
A. R. Costa et al.,  "A decision support tool for retail product assortment", in Global Management Conf., Lisboa, 2013
Exportar BibTeX
@misc{costa2013_1722082341804,
	author = "Costa, A. and Correia, J. and Ferreira, A.",
	title = "A decision support tool for retail product assortment",
	year = "2013",
	howpublished = "Outro",
	url = ""
}
Exportar RIS
TY  - CPAPER
TI  - A decision support tool for retail product assortment
T2  - Global Management Conference
AU  - Costa, A.
AU  - Correia, J.
AU  - Ferreira, A.
PY  - 2013
CY  - Lisboa
AB  - The assortment planning is one of the most important areas for retail and for category managers. The creation of a single assortment requires the analysis of an enormous amount of variables and products.
Therefore, for managers, the development of informatics tools to create product assortments is crucial. 
In this sense, it was developed a simulation model based on a mixed integer nonlinear programming problem to create a proposal to the product assortment at a big Portuguese retailer network.
The model uses the customer segmentation to direct the assortment, and also applies the demand substitution parameter in order to determine a more realistic solution. 
In general terms the tool produces a feasible solution within 2 minutes, and the results compared with the currently adopted solution, show a significant improvement in profit performance category, while maintaining the sales levels. The discrepancy between results is greater the larger the number of assortment possibilities, which increases as the available space on the shelves decreases. Since the increase in the number of assortments leads to an increase in possibilities that the manager needs to analyze, the probability that the solution proposed is not optimal tends to augment.

ER  -