The association between network centrality measures and supply chain performance: The case of distribution networks

Research output: Chapter in Book/Report/Conference proceedingsChapterpeer-review

Abstract

We analyze transport data on the worldwide distribution network for 1.2 million vehicles manufactured and distributed by a large German car manufacturer in half a year. To identify central nodes in this network, we calculate various centrality measures from social network analysis. We then analyze the association of these centrality scores and the key performance measures related to stay-times and inventory for ports, distribution centers, and plants. Our main result shows that nodes with high degree centrality perform worse than less central nodes. The main theoretical contribution of our research is to confirm for the very first time that network theory applies to distribution networks, i.e. that network structure influences network node performance.

Original languageEnglish
Title of host publicationProcedia Computer Science
Pages172-179
Number of pages8
Volume180
DOIs
Publication statusPublished - 2021

Publication series

NameProcedia Computer Science
PublisherElsevier BV

Keywords

  • Social network analysis
  • network theory
  • performance
  • supply chain management

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