Software code in R for a cluster analysis to cluster and characterize autonomous fulfillment concepts in a standardized and holistic manner
doi: 10.4121/21293733.v1
Datacite citation style:
Julian Maas (2022): Software code in R for a cluster analysis to cluster and characterize autonomous fulfillment concepts in a standardized and holistic manner. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/21293733.v1
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version 2 - 2023-03-23 (latest)
version 1 - 2022-10-10
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Julian Maas
This file is the softwarecode in R for a clusteranalysis to cluster and characterize autonomous fulfillment concepts in a standardized and holistic manner.
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
rmd
organizations
TU Berlin, Department of Logistics
DATA
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37078935b0d0c6cefa2f001f3b5c00b920220610_Clusteranalysis.Rmd - download all files (zip)
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