A Review of Data-Driven Decision-Making Methods for Industry 4.0 Maintenance Applications

A Review of Data-Driven Decision-Making Methods for Industry 4.0 Maintenance Applications

Decision-making for manufacturing and maintenance operations is benefiting from the advanced sensor infrastructure of Industry 4.0, enabling the use of algorithms that analyze data, predict emerging situations, and recommend mitigating actions. The current paper reviews the literature on data-driven...

Full description

Bibliographic Details
Main Authors: Alexandros Bousdekis, Katerina Lepenioti, Dimitris Apostolou, Gregoris Mentzas
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Electronics
Subjects:
Internet of Things
intelligent decision-making
data analytics
big data
predictive maintenance
Online Access:https://www.mdpi.com/2079-9292/10/7/828

Internet

https://www.mdpi.com/2079-9292/10/7/828

Similar Items