Multi-item shelf-space allocation of breakable items via genetic algorithm

2006 ◽  
Vol 20 (1-2) ◽  
pp. 327-343 ◽  
Author(s):  
Manas Kumar Maiti ◽  
Manoranjan Maiti
Keyword(s):  
Genetic Algorithm ◽  
Shelf Space ◽  
Space Allocation ◽  
Shelf Space Allocation

scholarly journals Genetic Algorithm for the Retailers’ Shelf Space Allocation Profit Maximization Problem

2021 ◽  
Vol 11 (14) ◽  
pp. 6401
Author(s):  
Kateryna Czerniachowska ◽  
Karina Sachpazidu-Wójcicka ◽  
Piotr Sulikowski ◽  
Marcin Hernes ◽  
Artur Rot
Keyword(s):  
Genetic Algorithm ◽  
Profit Maximization ◽  
Allocation Rule ◽  
Maximization Problem ◽  
Shelf Space ◽  
Allocation Model ◽  
Space Allocation ◽  
Shelf Space Allocation ◽  
To Receive

This paper discusses the problem of retailers’ profit maximization regarding displaying products on the planogram shelves, which may have different dimensions in each store but allocate the same product sets. We develop a mathematical model and a genetic algorithm for solving the shelf space allocation problem with the criteria of retailers’ profit maximization. The implemented program executes in a reasonable time. The quality of the genetic algorithm has been evaluated using the CPLEX solver. We determine four groups of constraints for the products that should be allocated on a shelf: shelf constraints, shelf type constraints, product constraints, and virtual segment constraints. The validity of the developed genetic algorithm has been checked on 25 retailing test cases. Computational results prove that the proposed approach allows for obtaining efficient results in short running time, and the developed complex shelf space allocation model, which considers multiple attributes of a shelf, segment, and product, as well as product capping and nesting allocation rule, is of high practical relevance. The proposed approach allows retailers to receive higher store profits with regard to the actual merchandising rules.

scholarly journals A Genetic Algorithm for the Shelf-Space Allocation Problem with Vertical Position Effects

Mathematics ◽  
2020 ◽  
Vol 8 (11) ◽  
pp. 1881
Author(s):  
Kateryna Czerniachowska ◽  
Marcin Hernes
Keyword(s):  
Genetic Algorithm ◽  
Operation Management ◽  
Vertical Position ◽  
Experimental Phase ◽  
Shelf Space ◽  
Retail Environment ◽  
Position Effects ◽  
Allocation Model ◽  
Space Allocation ◽  
Shelf Space Allocation

The shelf-space on which products are displayed is one of the most important resources in the retail environment. Therefore, decisions about shelf-space allocation and optimization are critical in retail operation management. This paper addresses the problem of a retailer who sells various products by displaying them on the shelf at stores. We present a practical shelf-space allocation model, based on a genetic algorithm, with vertical position effects with the objective of maximizing the retailer’s profit. The validity of the model is illustrated with example problems and compared to the CPLEX solver. The results obtained from the experimental phase show the suitability of the proposed approach.

Shelf Space Allocation and Profit Maximization in Mass Retailing

1973 ◽  
Vol 37 (3) ◽  
pp. 54-60 ◽  
Author(s):  
Ronald C. Curhan
Keyword(s):  
Conceptual Models ◽  
Empirical Studies ◽  
Profit Maximization ◽  
Shelf Space ◽  
For Profit ◽  
Space Allocation ◽  
Practical Management ◽  
Shelf Space Allocation ◽  
Relationship Of ◽  
The Relationship

Conceptual models and empirical studies of the relationship of shelf space allocation to unit sales are reviewed in this article. This knowledge is organized to support specific recommendations for the practical management of shelf space for profit maximization.

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