A new model and a hyper-heuristic approach for two-dimensional shelf space allocation

R. Bai, T. Woensel, van, G. Kendall, E. Burke

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

22 Citaten (Scopus)
3 Downloads (Pure)

Samenvatting

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.
Originele taal-2Engels
Pagina's (van-tot)31-55
Aantal pagina's25
Tijdschrift4OR : A Quarterly Journal of Operations Research
Volume11
Nummer van het tijdschrift1
DOI's
StatusGepubliceerd - 2013

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