Applications of Big Data analytics and Related Technologies in Maintenance - Literature-Based Research
Journal article, 2018

Digitalisation is argued to increase the efficiency of maintenance activities in a production system. One consequence of digitalisation is data deluge; this allows data analytics methods and technologies to be used. However, the actual data analytical methods and technologies used may differ, thus leading to many scientific papers on this topic. The purpose of our contribution is to find and cluster scientific papers regarding the implemented approaches relevant for use in production maintenance. Our research is based on a broad, systematic literature review consisting of a two-step search approach combined with additional filtering and classification. Based on the search results, we evaluate and visualise the potential impact of data analytics on the subject of maintenance. The results of this study broadly summarise the research activities in production maintenance, whilst indicating that the impact of data analytics will grow further. Specific methodological approaches are clearly favored

production systems

big data

data analytics


manufacturing systems


Jens Baum

University of Applied Sciences of Zwickau

Christoph Laroque

University of Applied Sciences of Zwickau

Benjamin Oeser

University of Applied Sciences of Zwickau

Anders Skoogh

Chalmers, Industrial and Materials Science, Production Systems

Mukund Subramaniyan

Chalmers, Industrial and Materials Science, Production Systems


20751702 (eISSN)

Vol. 6 54 1-12

DAIMP - Data Analytics in Maintenance Planning

VINNOVA (2015-06887), 2016-03-01 -- 2019-02-28.

Subject Categories

Production Engineering, Human Work Science and Ergonomics

Reliability and Maintenance

Areas of Advance




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