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

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationComputational Logistics - 12th International Conference, ICCL 2021, Proceedings
EditorsMartijn Mes, Eduardo Lalla-Ruiz, Stefan Voß
PublisherSpringer Science and Business Media Deutschland GmbH
Pages282-295
Number of pages14
ISBN (Print)9783030876715
DOIs
StatePublished - 2021
Event12th International Conference on Computational Logistics, ICCL 2021 - Virtual, Online
Duration: 27 Sep 202129 Sep 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13004 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference12th International Conference on Computational Logistics, ICCL 2021
CityVirtual, Online
Period27/09/2129/09/21

Bibliographical note

Publisher Copyright:
© 2021, Springer Nature Switzerland AG.

Keywords

  • Demand Correlation
  • Fast-pick area
  • Order-picking
  • Slotting problem
  • Warehousing

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