English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Order picking is the single most cost-intensive activity in picker-to-partswarehouses, and as such has garnered large interest from the scientificcommunity which led to multiple problem formulations and a plethora ofalgorithms published. Unfortunately, most of them are not applicable at thescale of really large warehouses like those operated by Zalando, a leadingEuropean online fashion retailer. Based on our experience in operatingZalando's batching system, we propose a novel batching problem formulation formixed-shelves, large scale warehouses with zoning. It brings the selection oforders to be batched into the scope of the problem, making it more realisticwhile at the same time increasing the optimization potential. We present twobaseline algorithms and compare them on a set of generated instances. Ourresults show that first, even a basic greedy algorithm requires significantruntime to solve real-world instances and second, including order selection inthe studied problem shows large potential for improved solution quality.

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