Published May 30, 2024 | Version v1
Conference proceeding Open

Artificial Intelligence as a driver for Prescriptive Maintenance: Limitations

  • 1. Universidad Politécnica de Madrid

Description

The primary objective of this study is to investigate the contemporary impediments hindering the widespread adoption of prescriptive maintenance within the framework of Industry 5.0 technology. This endeavour encompasses a comprehensive analysis of the fundamental elements of the prescriptive maintenance concept, juxtaposed with a review of the latest advancements in academic and industrial realms. The industrial viewpoint is substantiated through the formation of a focused group comprising ten maintenance officers representing diverse industrial sectors. Furthermore, the study endeavours to provide actionable recommendations aimed at surmounting the identified limitations.

Files

ESReDA_paper_JOM.pdf

Files (395.1 kB)

Name Size Download all
md5:5405aa6af15e6571d67075a9b79ae89b
395.1 kB Preview Download

Additional details

Funding

Agencia Estatal de Investigación
MCIN/AEI/10.13039/501100011033 PID2022-137748OB-C31

Dates

Accepted
2024-05