Intelligent warehouse product position optimization by applying a multi-criteria tool

Abstract

The operational optimization process applied to warehouses can lead to cost reductions by means of the correct positioning of the products. The definition of the product localization will determine the distance to be traveled to handle the materials and directly impact on warehousing costs. In this context, this article focuses on the positioning optimization of finished products in intelligent warehouses, which allows reducing the distance traveled and the order fulfillment time. The Analytic Hierarchy Process (AHP) was used for the optimization process. This technique consists in hierarchizing the products analyzed by employing pair wise comparisons through the judgment of their characteristics (size, fragility and weight). A simulated intelligent warehouse environment was used to analyze the results of allocation of the product based on AHP tool, where task were distributed for AGVs (Automated Guided Vehicle). As a result, a better positioning of the products and a reduction in the operation time of material handling were achieved. © Springer-Verlag Berlin Heidelberg 2013.