On the Effect of Product Demand Correlation on the Storage Space Allocation Problem in a Fast-Pick Area of a Warehouse

Felipe I.Gré Carafí; Alberto Ossa Ortiz de Zevallos; Rosa G. González-Ramírez; Mario C. Velez-Gallego

doi:10.1007/978-3-030-87672-2_19

On the Effect of Product Demand Correlation on the Storage Space Allocation Problem in a Fast-Pick Area of a Warehouse

Felipe I.Gré Carafí, Alberto Ossa Ortiz de Zevallos, Rosa G. González-Ramírez^*, Mario C. Velez-Gallego

^*Autor correspondiente de este trabajo

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

1 Cita (Scopus)

Resumen

The storage location assignment problem (SLAP), also known as the slotting problem involves the decisions of how much and where should be stored each stock keeping unit (SKU) in the fast-pick area with the aim to minimize total order-picking and replenishment costs associated to the distance traveled by the picking operators. Motivated by this, we propose to analyze the impact of SKUs demand correlation on the slotting decisions. Based on an experimental design, the effects of SKUs with correlated demand are analyzed. Results show that the most significant factor with respect to the total distance traveled is the number of orders, followed by the capacity of the bins and the number of bins in each location. Results of an instance solved to optimality by a commercial solver and a greedy heuristic in which the latter does not consider the demand correlation illustrate the impact that demand correlation has on the solution obtained. © 2021, Springer Nature Switzerland AG.

Idioma original	Inglés
Título de la publicación alojada	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Editores	Martijn Mes, Eduardo Lalla-Ruiz, Stefan Voß
Editorial	Springer Science and Business Media Deutschland GmbH
Páginas	282-295
Número de páginas	14
ISBN (versión impresa)	9783030876715
DOI	https://doi.org/10.1007/978-3-030-87672-2_19
Estado	Publicada - 2021
Evento	12th International Conference on Computational Logistics, ICCL 2021 - Virtual, Online Duración: 27 sep. 2021 → 29 sep. 2021

Serie de la publicación

Nombre	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen	13004 LNCS
ISSN (versión impresa)	0302-9743
ISSN (versión digital)	1611-3349

Conferencia

Conferencia	12th International Conference on Computational Logistics, ICCL 2021
Ciudad	Virtual, Online
Período	27/09/21 → 29/09/21

Nota bibliográfica

Publisher Copyright:
© 2021, Springer Nature Switzerland AG.

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10.1007/978-3-030-87672-2_19

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Carafí, F. I. G., de Zevallos, A. O. O., González-Ramírez, R. G., & Velez-Gallego, M. C. (2021). On the Effect of Product Demand Correlation on the Storage Space Allocation Problem in a Fast-Pick Area of a Warehouse. En M. Mes, E. Lalla-Ruiz, & S. Voß (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 282-295). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13004 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-87672-2_19

Carafí, Felipe I.Gré ; de Zevallos, Alberto Ossa Ortiz ; González-Ramírez, Rosa G. et al. / On the Effect of Product Demand Correlation on the Storage Space Allocation Problem in a Fast-Pick Area of a Warehouse. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). editor / Martijn Mes ; Eduardo Lalla-Ruiz ; Stefan Voß. Springer Science and Business Media Deutschland GmbH, 2021. pp. 282-295 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "The storage location assignment problem (SLAP), also known as the slotting problem involves the decisions of how much and where should be stored each stock keeping unit (SKU) in the fast-pick area with the aim to minimize total order-picking and replenishment costs associated to the distance traveled by the picking operators. Motivated by this, we propose to analyze the impact of SKUs demand correlation on the slotting decisions. Based on an experimental design, the effects of SKUs with correlated demand are analyzed. Results show that the most significant factor with respect to the total distance traveled is the number of orders, followed by the capacity of the bins and the number of bins in each location. Results of an instance solved to optimality by a commercial solver and a greedy heuristic in which the latter does not consider the demand correlation illustrate the impact that demand correlation has on the solution obtained.",

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author = "Caraf{\'i}, {Felipe I.Gr{\'e}} and {de Zevallos}, {Alberto Ossa Ortiz} and Gonz{\'a}lez-Ram{\'i}rez, {Rosa G.} and Velez-Gallego, {Mario C.}",

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Carafí, FIG, de Zevallos, AOO, González-Ramírez, RG & Velez-Gallego, MC 2021, On the Effect of Product Demand Correlation on the Storage Space Allocation Problem in a Fast-Pick Area of a Warehouse. En M Mes, E Lalla-Ruiz & S Voß (eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13004 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 282-295, 12th International Conference on Computational Logistics, ICCL 2021, Virtual, Online, 27/09/21. https://doi.org/10.1007/978-3-030-87672-2_19

On the Effect of Product Demand Correlation on the Storage Space Allocation Problem in a Fast-Pick Area of a Warehouse. / Carafí, Felipe I.Gré; de Zevallos, Alberto Ossa Ortiz; González-Ramírez, Rosa G. et al.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ed. / Martijn Mes; Eduardo Lalla-Ruiz; Stefan Voß. Springer Science and Business Media Deutschland GmbH, 2021. p. 282-295 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13004 LNCS).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

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T1 - On the Effect of Product Demand Correlation on the Storage Space Allocation Problem in a Fast-Pick Area of a Warehouse

AU - Carafí, Felipe I.Gré

AU - de Zevallos, Alberto Ossa Ortiz

AU - González-Ramírez, Rosa G.

AU - Velez-Gallego, Mario C.

PY - 2021

Y1 - 2021

N2 - The storage location assignment problem (SLAP), also known as the slotting problem involves the decisions of how much and where should be stored each stock keeping unit (SKU) in the fast-pick area with the aim to minimize total order-picking and replenishment costs associated to the distance traveled by the picking operators. Motivated by this, we propose to analyze the impact of SKUs demand correlation on the slotting decisions. Based on an experimental design, the effects of SKUs with correlated demand are analyzed. Results show that the most significant factor with respect to the total distance traveled is the number of orders, followed by the capacity of the bins and the number of bins in each location. Results of an instance solved to optimality by a commercial solver and a greedy heuristic in which the latter does not consider the demand correlation illustrate the impact that demand correlation has on the solution obtained.

AB - The storage location assignment problem (SLAP), also known as the slotting problem involves the decisions of how much and where should be stored each stock keeping unit (SKU) in the fast-pick area with the aim to minimize total order-picking and replenishment costs associated to the distance traveled by the picking operators. Motivated by this, we propose to analyze the impact of SKUs demand correlation on the slotting decisions. Based on an experimental design, the effects of SKUs with correlated demand are analyzed. Results show that the most significant factor with respect to the total distance traveled is the number of orders, followed by the capacity of the bins and the number of bins in each location. Results of an instance solved to optimality by a commercial solver and a greedy heuristic in which the latter does not consider the demand correlation illustrate the impact that demand correlation has on the solution obtained.

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KW - Slotting problem

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Carafí FIG, de Zevallos AOO, González-Ramírez RG, Velez-Gallego MC. On the Effect of Product Demand Correlation on the Storage Space Allocation Problem in a Fast-Pick Area of a Warehouse. En Mes M, Lalla-Ruiz E, Voß S, editores, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Science and Business Media Deutschland GmbH. 2021. p. 282-295. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-87672-2_19

On the Effect of Product Demand Correlation on the Storage Space Allocation Problem in a Fast-Pick Area of a Warehouse

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