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Cited by 686

The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.

Warehousing in the e-commerce era: A survey

Open access
Boysen, Nils, de Koster, René, Weidinger, Felix·2019·European Journal of Operational Research

Abstract

E-commerce retailers face the challenge to assemble large numbers of time-critical picking orders each consisting of just a few order lines with low order quantities. Traditional picker-to-parts warehouses are often ill-suited for these prerequisites, so that automated warehousing systems (e.g., automated picking workstations, robots, and AGV-assisted order picking systems) are applied and organizational adaptions (e.g., mixed-shelves storage, dynamic order processing, and batching, zoning and sorting systems) are made in this branch of industry. This paper is dedicated to these warehousing systems especially suited for e-commerce retailers. We discuss suited systems, survey the relevant literature, and define future research needs.

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Crossref · 10.1016/j.ejor.2018.08.023

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Metadata

Authors
Boysen, N., de Koster, R., & Weidinger, F.
Venue
European Journal of Operational Research
Publisher
Elsevier BV
Published
2019-09
Volume
277
Issue
2
Pages
396-411
ISSN
0377-2217 (ISSN-L)
OpenAlex
W2888729493
Cited by
686
References
46
FWCI
36.76
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Warehousing in the e-commerce era: A survey. https://app.cochat.ai/papers/10.1016/j.ejor.2018.08.023
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Boysen, N., de Koster, R., & Weidinger, F. (2019). Warehousing in the e-commerce era: A survey. European Journal of Operational Research. https://doi.org/10.1016/j.ejor.2018.08.023

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.