Exploring the transition from preventive maintenance to predictive maintenance within ERP systems by utilising digital twins

Simple item page
dc.contributor.authorDamant, Liam
dc.contributor.authorForsyth, Amy
dc.contributor.authorFarcas, Ramona
dc.contributor.authorVoigtländer, Melvin
dc.contributor.authorSingh, Sumit
dc.contributor.authorFan, Ip-Shing
dc.contributor.authorShehab, Essam
dc.date.accessioned2024-10-03T09:22:02Z
dc.date.available2024-10-03T09:22:02Z
dc.date.freetoread2024-10-03
dc.date.issued2021-10-20
dc.date.pubOnline2021-07
dc.description.abstractOver the years, there has been an advancement in how manufacturing companies conduct maintenance. They have begun transitioning from Preventive Maintenance (PM) to Predictive Maintenance (PdM). With the introduction of technologies such as Digital Twin (DT), Internet of Things (IoT), and Intelligent Manufacturing (IM), the world is rapidly changing, thus allowing companies to optimise existing processes, products and reduce costs. The existing literature offers limited investigations and best practices in the end-to-end optimisation for maintenance transformation. The current paper intends to explore (a) the transition from PM to PdM and (b) the utilisation of DTs and IM for maintenance optimisation. The paper articulates the scope and features of end-to-end maintenance optimisation for asset uptime and cost benefits. The findings can help industries understand the introductions and advancements of technologies for predictive maintenance and end-to-end optimisation with the benefit of investigating and illustrating how companies can move forward.
dc.description.conferencename28th ISTE International Conference on Transdisciplinary Engineering
dc.format.extent171-180
dc.identifier.citationDamant L, Forsyth A, Farcas R, et al., (2021) Exploring the Transition from Preventive Maintenance to Predictive Maintenance within ERP Systems by Utilising Digital Twins. In: Advances in Transdisciplinary Engineering, Volume 16: Transdisciplinary Engineering for Resilience: Responding to System Disruptions, Proceedings of the 28th ISTE International Conference on Transdisciplinary Engineering, 5-9 July 2021, pp. 171-180
dc.identifier.urihttps://doi.org/10.3233/ATDE210095
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/22999
dc.language.isoen
dc.publisherIOS Press
dc.publisher.urihttps://ebooks.iospress.nl/doi/10.3233/ATDE210095
dc.rightsAttribution-NonCommercial 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.subjectPredictive Maintenance
dc.subjectPreventive Maintenance
dc.subjectDigital Twin
dc.subjectInternet of Things
dc.subjectEnterprise Resource Planning (ERP)
dc.subjectArtificial Intelligence
dc.subjectIntelligent Manufacturing
dc.subjectOptimisation
dc.subjectTransdisciplinary
dc.titleExploring the transition from preventive maintenance to predictive maintenance within ERP systems by utilising digital twins
dc.typeConference paper
dcterms.coverageVirtual Event
dcterms.dateAccepted2021
dcterms.temporal.endDate09-Jul-2021
dcterms.temporal.startDate05-Jul-2021

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Exploring_the_transition_from_preventive_maintenance-2021.pdf
Size:
840.13 KB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.63 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Staff publications (SATM)