Machines (Nov 2018)

Applications of Big Data analytics and Related Technologies in Maintenance—Literature-Based Research

  • Jens Baum,
  • Christoph Laroque,
  • Benjamin Oeser,
  • Anders Skoogh,
  • Mukund Subramaniyan

DOI
https://doi.org/10.3390/machines6040054
Journal volume & issue
Vol. 6, no. 4
p. 54

Abstract

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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.

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