Machine Learning in der Logistik – Eine empirische Studie über die Anwendung in deutschen Unternehmen

Authors

  • Markus Witthaut Fraunhofer-Institut für Materialfluss und Logistik IML, Dortmund
  • Carina Culotta Fraunhofer-Institut für Materialfluss und Logistik IML, Dortmund

DOI:

https://doi.org/10.2195/lj_NotRev_witthaut_de_202105_01

Keywords:

Empirische Studie, Künstliche Intelligenz, Logistik, Maschinelles Lernen, Supply Chain Management

Abstract

This paper presents the results of a survey of German companies regarding the application status and planning of Machine Learning (ML) for logistic tasks. The companies were surveyed in April/May 2020 regarding their level of knowledge, information needs and application in the topic area of ML. The survey was conducted with an online questionnaire. The article describes the study design and the questions asked. The results of the survey are then presented and discussed.

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Published

2021-06-07

How to Cite

Witthaut, M., & Culotta, C. (2021). Machine Learning in der Logistik – Eine empirische Studie über die Anwendung in deutschen Unternehmen. Logistics Journal: Editorial-Reviewed. https://doi.org/10.2195/lj_NotRev_witthaut_de_202105_01

Issue

2021: Logistics Journal: Editorial Reviewed

Section

Artikel

License

Copyright (c) 2021 Markus Witthaut, Carina Culotta