Integrated assortment planning and store-wide shelf space allocation: An optimization-based approach

Flamand, Tülay; Ghoniem, Ahmed; Haouari, Mohamed; Maddah, Bacel

doi:10.1016/j.omega.2017.10.006

Cited by 53 publications

(30 citation statements)

References 40 publications

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“…Xie et al developed an efficient Restricted Neighbourhood Tabu Search algorithm to solve the storage location assignment problem with grouping constraints [11]. Flamand et al investigated retail assortment planning along with store-wide shelf space allocation in a manner that maximizes the overall store profit [12].…”

Section: Literature Reviewmentioning

confidence: 99%

Optimizing the Cargo Location Assignment of Retail E-Commerce Based on an Artificial Fish Swarm Algorithm

Zhang

Chen

et al. 2020

Mathematical Problems in Engineering

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An efficient storage strategy for retail e-commerce warehousing is important for minimizing the order retrieval time to improve the warehouse-output efficiency. In this paper, we consider a model and algorithm to solve the cargo location problem in a retail e-commerce warehouse. The problem is abstracted into storing cargo on three-dimensional shelves, and the mathematical model is built considering three objectives: efficiency, stability, and classification. An artificial swarm algorithm is designed to solve the proposed models. Computational experiments performed on a warehouse show that the proposed approach is effective at solving the cargo location assignment problem and is significant for the operation and organization of a retail e-commerce warehouse.

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Section: Literature Reviewmentioning

confidence: 99%

Optimizing the Cargo Location Assignment of Retail E-Commerce Based on an Artificial Fish Swarm Algorithm

Zhang

Chen

et al. 2020

Mathematical Problems in Engineering

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“…Experimental results have proved that the system can efficiently calculate a proper solution able to re-allocate space and reduce OOS events. Flamand et al [18] developed a model that jointly examines assortment planning and store-wide shelf space allocation decisions. The model is then solved by a heuristic approach that constructs a high-quality initial solution that is further enhanced using a large-scale neighborhood local search procedure.…”

Section: Literature Reviewmentioning

confidence: 99%

Using Product Network Analysis to Optimize Product-to-Shelf Assignment Problems

et al. 2019

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A good product-to-shelf assignment strategy not only helps customers easily find desired product items but also increases retailer profit. Recent research has attempted to solve product-to-shelf problems using product association analysis, a powerful data mining tool that can detect significant co-purchase rules underlying a large amount of purchase transaction data. While some studies have developed efficient approaches for this task, they largely overlook important factors related to optimizing product-to-shelf assignment, including product characteristics, physical proximity, and category constraints. This paper proposes a three-stage product-to-shelf assignment method to address this shortcoming. The first stage constructs a product relationship network that represents the purchase association among product items. The second stage derives the centrality value of each product item through network analysis. Based on the centrality of each product, an item is classified as an attraction item, an opportunity item, or a trivial item. The third stage considers purchase association, physical relationship, and category constraint when evaluating the location preference of each product. Based on the location preference values, a product assignment algorithm is then developed to optimize locations for opportunity items. A series of analyses and comparisons on the performance of different network types are conducted. It is found that the two network types provide variant managerial meanings for store managers. In addition, the implementation and experimental results show the proposed method is feasible and helpful.

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“…El efecto principal se define como un factor relacionado a la variación en la demanda de un producto específico con respecto al espacio asignado y el efecto cruzado es un factor que relaciona el impacto de productos sustitutos con el producto principal [22]. Esta elasticidad tiene un impacto moderado en las configuraciones de las góndolas y por lo tanto en las utilidades generadas por las mismas, lo cual es un factor a tener en cuenta, pero en últimas debe verificarse el efecto real sobre la complejidad de los modelos [23].…”

Section: Revisión Literariaunclassified

“…Pero el modelo [32] resuelve por etapas para la exhibición en góndola de categorías de los productos con el fin de atraer demanda. En estos casos, [23] proponen un modelo de programación lineal entera mixta considerando el surtido y la asignación de forma simultánea. El modelo es resuelto usando una heurística que genera resultados muy cercanos a los óptimos [33] con un modelo cuyo objetivo es maximizar la exposición de los productos, aprovechando el campo visual del shopper con el fin de aumentar la demanda y por consiguiente las utilidades.…”

Section: Revisión Literariaunclassified

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

Villarraga

Ruiz-Cruz

2019

Inge Cuc

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Introducción: Las decisiones operativas de un minorista implican que a través de su surtido se pueda satisfacer la demanda logrando la mayor utilidad posible haciendo el mejor uso posible de su espacio de exhibición. Este artículo presenta un modelo de programación lineal entera mixta cuyo propósito es maximizar la rentabilidad de un minorista considerando los efectos de sustitución dinámica entre artículos, impactos de la elasticidad del espacio sobre la demanda, niveles de servicio esperados de la exhibición y las decisiones de los compradores. Objetivo: Proponer un modelo que soporte la toma de decisiones de asignación de espacio, planeación del surtido y localización en góndola de un minorista. Metodología: Primero se analizan diferentes factores que afectan las decisiones objeto de estudio usando fuentes primarias y secundarias. Luego se desarrolla el modelo matemático y se evalúa su desempeño utilizando datos reales de una categoría de productos en un punto de venta de una cadena de supermercados. Resultados: En la instancia de prueba se obtiene la solución óptima en un tiempo computacional razonable y esta solución permite establecer la forma en la cual gestionar de mejor manera el surtido en el punto de venta, superando los resultados del método actual. Conclusiones: El modelo propuesto permite aumentar la utilidad de la cadena a través del surtido adecuado, con los espacios de exhibición justos y con la localización exacta de los artículos seleccionados.

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Integrated assortment planning and store-wide shelf space allocation: An optimization-based approach

Cited by 53 publications

References 40 publications

Optimizing the Cargo Location Assignment of Retail E-Commerce Based on an Artificial Fish Swarm Algorithm

Optimizing the Cargo Location Assignment of Retail E-Commerce Based on an Artificial Fish Swarm Algorithm

Using Product Network Analysis to Optimize Product-to-Shelf Assignment Problems

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

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