Entwurf eines Reifegradmodells zur Integration von Business Analytics im Bestandsmanagement

Authors

  • Matthias Brüggenolte Lehrstuhl für Unternehmenslogistik, Fakultät Maschinenbau, TU Dortmund
  • Markus Stute Fraunhofer-Institut für Materialfluss und Logistik IML, Dortmund
  • Christoph Besenfelder Lehrstuhl für Unternehmenslogistik, Fakultät Maschinenbau, TU Dortmund; Fraunhofer-Institut für Materialfluss und Logistik IML, Dortmund

DOI:

https://doi.org/10.2195/lj_NotRev_brueggenolte_de_201811_01

Keywords:

Bestandsmanagement, Big Data, Business Analytics, Reifegradmodell, Vorgehensmodell

Abstract

The volatile business environments of manufacturing companies demand special requirements for the inventory management and require flexible and fast decisions of the companies. The application of Big Data and Business Analytics for analysis and forecasting purposes and to derive automated and ultimately autonomous decisions is essential for this task. This paper presents a maturity model based on important technological, personnel and process requirements for the application of Business Analytics and serves manufacturing companies to evaluate and improve their inventory management using Business Analytics.

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Published

2018-11-09

How to Cite

Brüggenolte, M., Stute, M., & Besenfelder, C. (2018). Entwurf eines Reifegradmodells zur Integration von Business Analytics im Bestandsmanagement. Logistics Journal: Editorial-Reviewed. https://doi.org/10.2195/lj_NotRev_brueggenolte_de_201811_01