Software code in R for a cluster analysis to cluster and characterize autonomous fulfillment concepts in a standardized and holistic manner

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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Software

choose version: version 2 - 2023-03-23 (latest)
version 1 - 2022-10-10

Usage statistics

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162
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Categories

Licence

CC BY 4.0

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

Files (1)