Joint Order Selection, Allocation, Batching and Picking for Large Scale Warehouses

Fuente: arXiv
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Hauptverfasser: Abelli, Giorgio, Katzmann, Maximilian, Khan, Imran, Maurer, Olaf, Pätzold, Julius, Pszona, Paweł, Salchow, Jan-David
Format: Preprint
Veröffentlicht: 2024
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author Abelli, Giorgio
Katzmann, Maximilian
Khan, Imran
Maurer, Olaf
Pätzold, Julius
Pszona, Paweł
Salchow, Jan-David
author_facet Abelli, Giorgio
Katzmann, Maximilian
Khan, Imran
Maurer, Olaf
Pätzold, Julius
Pszona, Paweł
Salchow, Jan-David
contents Order picking is the single most cost-intensive activity in picker-to-parts warehouses, and as such has garnered large interest from the scientific community which led to multiple problem formulations and a plethora of algorithms published. Unfortunately, most of them are not applicable at the scale of really large warehouses like those operated by Zalando, a leading European online fashion retailer. Based on our experience in operating Zalando's batching system, we propose a novel batching problem formulation for mixed-shelves, large scale warehouses with zoning. It brings the selection of orders to be batched into the scope of the problem, making it more realistic while at the same time increasing the optimization potential. We present two baseline algorithms and compare them on a set of generated instances. Our results show that first, even a basic greedy algorithm requires significant runtime to solve real-world instances and second, including order selection in the studied problem shows large potential for improved solution quality.
format Preprint
id arxiv_https___arxiv_org_abs_2401_04563
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Joint Order Selection, Allocation, Batching and Picking for Large Scale Warehouses
Abelli, Giorgio
Katzmann, Maximilian
Khan, Imran
Maurer, Olaf
Pätzold, Julius
Pszona, Paweł
Salchow, Jan-David
Optimization and Control
Order picking is the single most cost-intensive activity in picker-to-parts warehouses, and as such has garnered large interest from the scientific community which led to multiple problem formulations and a plethora of algorithms published. Unfortunately, most of them are not applicable at the scale of really large warehouses like those operated by Zalando, a leading European online fashion retailer. Based on our experience in operating Zalando's batching system, we propose a novel batching problem formulation for mixed-shelves, large scale warehouses with zoning. It brings the selection of orders to be batched into the scope of the problem, making it more realistic while at the same time increasing the optimization potential. We present two baseline algorithms and compare them on a set of generated instances. Our results show that first, even a basic greedy algorithm requires significant runtime to solve real-world instances and second, including order selection in the studied problem shows large potential for improved solution quality.
title Joint Order Selection, Allocation, Batching and Picking for Large Scale Warehouses
topic Optimization and Control
url https://arxiv.org/abs/2401.04563