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Appears in Collections:Computing Science and Mathematics Journal Articles
Peer Review Status: Refereed
Title: A new model and a hyper-heuristic approach for two-dimensional shelf space allocation
Author(s): Bai, Ruibin
van, Woensel Tom
Kendall, Graham
Burke, Edmund
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Keywords: Shelf space allocation
Multi-neighborhood search
90B80 Discrete Location and Assignment
Issue Date: Mar-2013
Citation: Bai R, van Woensel T, Kendall G & Burke E (2013) A new model and a hyper-heuristic approach for two-dimensional shelf space allocation, 4OR: A Quarterly Journal of Operations Research, 11 (1), pp. 31-55.
Abstract: In this paper, we propose a two-dimensional shelf space allocation model. The second dimension stems from the height of the shelf. This results in an integer nonlinear programming model with a complex form of objective function. We propose a multiple neighborhood approach which is a hybridization of a simulated annealing algorithm with a hyper-heuristic learning mechanism. Experiments based on empirical data from both real-world and artificial instances show that the shelf space utilization and the resulting sales can be greatly improved when compared with a gradient method. Sensitivity analysis on the input parameters and the shelf space show the benefits of the proposed algorithm both in sales and in robustness.
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