Robust storage assignment in warehouses with correlated demand

Monika Kofler; Andreas Beham; Stefan Wagner; Michael Affenzeller

doi:10.1007/978-3-319-15720-7_29

Robust storage assignment in warehouses with correlated demand

Monika Kofler, Andreas Beham, Stefan Wagner, Michael Affenzeller

Research Center Hagenberg

Research output: Contribution to journal › Article › peer-review

5 Citations (Scopus)

Abstract

In many warehouses manual order picking is one of the most time and labour intensive processes. Products that are often ordered together are said to be correlated or affine and order picking performance may be improved by placing correlated products close to each other. In industries with strong seasonality patterns and fluctuating demand regular re-locations of productsmight be necessary to ensure that the quality of the storage assignment does not deteriorate over time. In this chapter we study how to generate more robust assignments that are suitable for volatile warehouse scenarios with correlated demand. In a case study based on 13 monthly snapshots from a real-worldwarehouse robust slotting outperformed greedy re-locations by up to 9.6%.

Original language	English
Pages (from-to)	415-428
Number of pages	14
Journal	Studies in Computational Intelligence
Volume	595
DOIs	https://doi.org/10.1007/978-3-319-15720-7_29
Publication status	Published - 2015

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Robust storage assignment in warehouses with correlated demand

Abstract

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