Modelo para la planeación del surtido, asignación de espacio y localización en góndola
Assortment planning, space assignment and shelf location model

Date
2019-05-20
2019-05-20
Author
Palacios Villarraga, Nicolás Felipe
Ruiz-Cruz, Carlos Rodrigo
Metadata
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Abstract
Introduction− A retailer's operational decisions involve satisfying demand through their assortment, achieving the greatest possible utility and making the best allowed use of their exhibition space. This article presents an integer li-near mixed programming model, the purpose of which is to maximize a retailer's profitability, considering the effects of dynamic substitution between items, impacts of space elas-ticity on demand, expected exhibit service levels, and buyer decisions.Objective− To propose a model that supports decision ma-king in the allocation of space, assortment planning and location in a retailer's gondola.Methodology− First, different factors affecting the deci-sions being studied are analyzed using primary and secon-dary sources. Then we develop the mathematical model and evaluate its performance using real data of a category of products in a point of sale of a supermarket chain.Results− In the test instance the optimal solution is obtai-ned in a reasonable computational time, allowing to esta-blish the best way in which to manage the assortment at the point of sale, surpassing the results of the current method.Conclusions− The proposed model allows to increase the utility of the chain through the adequate assortment, with the right exhibition spaces and the exact location of the se-lected items.
Para citar este documento con norma APA sexta edición utilice:
Palacios-Villarraga, N., & Ruiz-Cruz, C. (2019). Modelo para la planeación del surtido, asignación de espacio y localización en góndola. INGE CUC, 15(2). https://doi.org/10.17981/ingecuc.15.2.2019.03
Palacios-Villarraga, N., & Ruiz-Cruz, C. (2019). Modelo para la planeación del surtido, asignación de espacio y localización en góndola. INGE CUC, 15(2). https://doi.org/10.17981/ingecuc.15.2.2019.03
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