Affinity Based Slotting in Warehouses with Dynamic Order Patterns

Monika Kofler; Andreas Beham; Stefan Wagner; Michael Affenzeller

doi:10.1007/978-3-319-01436-4_7

Affinity Based Slotting in Warehouses with Dynamic Order Patterns

Monika Kofler, Andreas Beham, Stefan Wagner, Michael Affenzeller

Research Center Hagenberg

Research output: Chapter in Book/Report/Conference proceedings › Chapter › peer-review

Abstract

There has been a wealth of research on warehouse optimization since the 1960s, and in particular on increasing order picking efficiency, which is one of the most labor intensive processes in many logistics centers. In the last ten years, affinity based slotting strategies, which place materials that are frequently ordered/picked together close to each other, have started to emerge. However, the effects of changing customer demand patterns on warehousing efficiency have not been investigated in detail. The aim of this chapter is to extend the classic storage location assignment problem (SLAP) to a multi-period formulation (M-SLAP) and to test and compare how various allocation rules, and in particular an affinity based policy, perform in such dynamic scenarios. A first benchmark instance for the M-SLAP is presented.

Original language	English
Title of host publication	Advanced Methods and Applications in Computational Intelligence
Publisher	Springer
Pages	123-143
ISBN (Print)	978-3-319-01435-7
DOIs	https://doi.org/10.1007/978-3-319-01436-4_7
Publication status	Published - 2014

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10.1007/978-3-319-01436-4_7

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abstract = "There has been a wealth of research on warehouse optimization since the 1960s, and in particular on increasing order picking efficiency, which is one of the most labor intensive processes in many logistics centers. In the last ten years, affinity based slotting strategies, which place materials that are frequently ordered/picked together close to each other, have started to emerge. However, the effects of changing customer demand patterns on warehousing efficiency have not been investigated in detail. The aim of this chapter is to extend the classic storage location assignment problem (SLAP) to a multi-period formulation (M-SLAP) and to test and compare how various allocation rules, and in particular an affinity based policy, perform in such dynamic scenarios. A first benchmark instance for the M-SLAP is presented.",

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AU - Beham, Andreas

AU - Wagner, Stefan

AU - Affenzeller, Michael

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AB - There has been a wealth of research on warehouse optimization since the 1960s, and in particular on increasing order picking efficiency, which is one of the most labor intensive processes in many logistics centers. In the last ten years, affinity based slotting strategies, which place materials that are frequently ordered/picked together close to each other, have started to emerge. However, the effects of changing customer demand patterns on warehousing efficiency have not been investigated in detail. The aim of this chapter is to extend the classic storage location assignment problem (SLAP) to a multi-period formulation (M-SLAP) and to test and compare how various allocation rules, and in particular an affinity based policy, perform in such dynamic scenarios. A first benchmark instance for the M-SLAP is presented.

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BT - Advanced Methods and Applications in Computational Intelligence

PB - Springer

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Affinity Based Slotting in Warehouses with Dynamic Order Patterns

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