Abstract
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.
Highlights
Maintenance is increasingly important in modern manufacturing and production systems, as plant downtimes caused by machine or equipment damage may result in high repair costs owing to expensive technology and lost productivity [1,2,3]
This means that maintenance is carried out after a specific time or after a certain number of process steps have been completed by a piece of equipment or machine
This paper describes which general type of data analytics has been used
Summary
Maintenance is increasingly important in modern manufacturing and production systems, as plant downtimes caused by machine or equipment damage may result in high repair costs owing to expensive technology and lost productivity [1,2,3]. Preventive maintenance still remains as a standard approach for a huge number of manufacturers [6] This means that maintenance is carried out after a specific time or after a certain number of process steps have been completed by a piece of equipment or machine. This method does not allow for the actual condition of the changed parts and can result in relatively high costs, as components may be replaced while still in good working condition. On the other hand, having malfunctions due to components wearing out before their scheduled maintenance is a costly option [7]
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