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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dc.coverageDOI: 10.1007/978-3-030-87672-2_19
dc.creatorCarafí, Felipe I.Gré
dc.creatorde Zevallos, Alberto Ossa Ortiz
dc.creatorGonzález-Ramírez, Rosa G.
dc.creatorVelez-Gallego, Mario C.
dc.date2021
dc.date.accessioned05-01-2026 18:18
dc.date.available05-01-2026 18:18
dc.description<p>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.</p>eng
dc.descriptionThe 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.spa
dc.identifierhttps://investigadores.uandes.cl/en/publications/c7f6cacd-554c-4ece-8a51-ad4723de5050
dc.languageeng
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.source(2021) p.282-295
dc.subjectDemand Correlation
dc.subjectFast-pick area
dc.subjectOrder-picking
dc.subjectSlotting problem
dc.subjectWarehousing
dc.titleOn the Effect of Product Demand Correlation on the Storage Space Allocation Problem in a Fast-Pick Area of a Warehouseeng
dc.typeConference articleeng
dc.typeArtículo de la conferenciaspa
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