Modelo para la planeación del surtido, asignación de espacio y localización en góndola

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 ma...

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Autores:
Palacios Villarraga, Nicolás Felipe
Ruiz-Cruz, Carlos Rodrigo
Tipo de recurso:
Article of journal
Fecha de publicación:
2019
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
spa
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/5808
Acceso en línea:
https://hdl.handle.net/11323/5808
https://doi.org/10.17981/ingecuc.15.2.2019.03
https://repositorio.cuc.edu.co/
Palabra clave:
Planeación del surtido
Planeación del surtido
Asignación y localización en góndola
Comercio al detal
Modelos matemáticos
Programación lineal entera mixta
Assortment planning
Gondola assignment and location
Retail trade
Mathematical models
Mixed integer linear programming
Rights
openAccess
License
CC0 1.0 Universal
Description
Summary: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.