Abstract
In this paper we address the joint problem of minimising both the transport and inventory costs of a retail chain that is supplied from a central warehouse. We propose a hybrid evolutionary algorithm where the delivery patterns are evolved for each shop, while the delivery routes are obtained employing the multistart sweep algorithm. The experiments performed show that this method can obtain acceptable results consistently and within a reasonable timescale. The results are also of a lower cost than those obtained by other strategies employed in previous research. Furthermore, they confirm the interest of addressing the optimisation problem jointly, rather than minimising separately inventory and transport.
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© 2006 Springer-Verlag Berlin Heidelberg
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Esparcia-Alcázar, A.I., Lluch-Revert, L., Cardós, M., Sharman, K., Andrés-Romano, C. (2006). Design of a Retail Chain Stocking Up Policy with a Hybrid Evolutionary Algorithm. In: Gottlieb, J., Raidl, G.R. (eds) Evolutionary Computation in Combinatorial Optimization. EvoCOP 2006. Lecture Notes in Computer Science, vol 3906. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11730095_5
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DOI: https://doi.org/10.1007/11730095_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-33178-0
Online ISBN: 978-3-540-33179-7
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