Abstract
In a supply chain, the warehousing process represents a significant percentage of the total logistics costs. Making objective decisions in this activity plays an important role because they are translated into improvement of the process or into making the process cost-effective. Therefore, before making decisions, it is necessary to provide a systematic analysis and a statistical measurement of the process. In this study, we present an approach for profiling the warehousing activity based on the customer's order history. This approach is a quantitative analysis for characterizing the warehousing activity according to the number of lines per order and the affinity in a set of orders. For estimating the order affinity, we present a novel procedure. The result of this approach are clusters that identify the different profiles of orders in the warehousing activity. Finally, we present a numerical case of study to illustrate the application of the presented approach.
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