Predictive maintenance servitisation pathways

dc.contributor.authorLi, Jiahong
dc.contributor.authorMilisavljevic-Syed, Jelena
dc.contributor.authorSalonitis, Konstantinos
dc.date.accessioned2024-09-17T15:03:57Z
dc.date.available2024-09-17T15:03:57Z
dc.date.freetoread2024-09-17
dc.date.issued2024
dc.date.pubOnline2024-09-06
dc.description6th IFAC Workshop on Advanced Maintenance Engineering, Services and Technology AMEST 2024, 12-14 June 2024, Cagliari, Italy
dc.description.abstractThe competition within the manufacturing industry is becoming increasingly intense in the Industry 4.0 era. Some manufacturers are transforming their traditional product-selling business model into product-service combos to gain customer loyalty and new sources of revenue through the so-called manufacturing servitisation. Predictive maintenance (PdM) is a strategy that significantly overlaps with manufacturing servitisation in terms of enabling technologies, including IoT, Big Data, Cloud Computing, etc. PdM is expected to both maximise productivity and minimise maintenance costs. Although much attention has been given to PdM and manufacturing servitisation, previous studies have ignored the synergy of PdM and manufacturing servitisation. This paper highlights the importance and feasibility of implementing PdM servitisation. Additionally, by analysing practical PdM servitisation cases, three PdM servitisation pathways are defined. Finally, the defined pathways are discussed, and future research directions are proposed.
dc.description.conferencename6th IFAC Workshop on Advanced Maintenance Engineering, Services and Technology AMEST 2024
dc.description.journalNameIFAC-PapersOnLine
dc.format.extentpp. 329-334
dc.identifier.citationLi J, Milisavljevic-Syed J, Salonitis K. (2024) Predictive maintenance servitisation pathways. IFAC-PapersOnLine, Volume 58, Issue 8, pp. 329-334
dc.identifier.elementsID552918
dc.identifier.issn2405-8963
dc.identifier.issueNo8
dc.identifier.urihttps://doi.org/10.1016/j.ifacol.2024.08.142
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/22915
dc.identifier.volumeNo58
dc.languageEnglish
dc.language.isoen
dc.publisherElsevier
dc.publisher.urihttps://www.sciencedirect.com/science/article/pii/S2405896324008644?via%3Dihub
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject4007 Control engineering, mechatronics and robotics
dc.subject4008 Electrical engineering
dc.titlePredictive maintenance servitisation pathways
dc.typeArticle
dcterms.coverageCagliari, Italy
dcterms.temporal.endDate14-JUN-2024
dcterms.temporal.startDate12-JUN-2024

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