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Dataset for a clusteranalysis to cluster and characterize autonomous fulfillment concepts in a standardized and holistic manner

Datacite citation style

Julian Maas (2022): Dataset for a clusteranalysis to cluster and characterize autonomous fulfillment concepts in a standardized and holistic manner. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/21293736.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Version 2 - 2023-03-23 (latest)
Version 1 - 2022-10-10

Usage statistics

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413
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Categories

Licence

CC BY 4.0

This is file is the dataset for a clusteranalysis to cluster and characterize autonomous fulfillment concepts in a standardized and holistic manner. 

The dataset includes autonomous fulfillment concepts described by a new delevoped holistic taxonomy.

With the developed clusters it is possible to better categorize and compare individual autonomous fulfillment concepts. Furthermore, the developed taxonomy of autonomous fulfillment concepts and the cluster analysis allow an evaluation of the interrelations between characteristics of autonomous fulfillment concepts, so that the design of new concepts as well as the adaptation or selection of a concept for a specific use case is supported. 

History

  • 2022-10-10 first online, published, posted

Publisher

4TU.ResearchData

Format

xlsx

Organizations

TU Berlin, Department of Logistics

DATA

Files (1)