Dataset for a clusteranalysis to cluster and characterize autonomous fulfillment concepts in a standardized and holistic manner
doi: 10.4121/21293736.v1
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
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Dataset
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version 2 - 2023-03-23 (latest)
version 1 - 2022-10-10
CC BY 4.0by
Julian Maas
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)
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29,368 bytesMD5:
0a473a9c83f4edeafdd8311a0a259e5320220610_metric_description_autonomous_fulfillment_concepts.xlsx - download all files (zip)
29,368 bytes unzipped
