New Publication in Computers & Industrial Engineering [03.06.25]
Julia Senge and Christian Krupitzer from the Department of Food Informatics are co-authors of the publication "A Literature Review Framework and Open Research Challenges for Predictive Maintenance in industry 4.0" in Computers & Industrial Engineering (Impact Factor: 6.7).
The publication "A Literature Review Framework and Open Research Challenges for Predictive Maintenance in industry 4.0" from Lukas Meitz (Hochschule Augsburg) with co-authors Julia Senge (Department of Food Informatics, University of Hohenheim), Tim Wagenhals (University of Mannheim), Thorsten Schöler (Hochschule Augsburg), Jörg Hähner (Augsburg University), Janick Edinger (University of Hamburg) and Christian Krupitzer (Department of Food Informatics, University of Hohenheim) was published in Computers & Industrial Engineering (Impact Factor: 6.7).
Production issues at Volkswagen in 2016 led to dramatic losses in sales of up to 400 million Euros per week. This example shows the huge financial impact of a working production facility for companies. Especially in the data-driven domains of Industry 4.0 and Industrial IoT with intelligent, connected machines, a conventional, static maintenance schedule seems to be old-fashioned. In this paper, we present an overview of the current state of the art in predictive maintenance for Industry 4.0. Based on a structured literature survey, we present a classification of predictive maintenance in the context of Industry 4.0 based on 249 publications. Additionally, we discuss identified challenges, i.e., complexity issues, as well as missing benchmark datasets that are relevant for production and the integration of machine learning.
The publication is available at https://doi.org/10.1016/j.cie.2025.111193.
