Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/36524
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dc.contributor.authorSkoumpopoulou, Dimitraen_UK
dc.contributor.authorToliyat, Seyed Mohammad Hosseinen_UK
dc.contributor.authorOjra, Ahmaden_UK
dc.contributor.authorShokri, Alirezaen_UK
dc.contributor.authorHu, Shanfengen_UK
dc.date.accessioned2024-11-26T01:03:57Z-
dc.date.available2024-11-26T01:03:57Z-
dc.date.issued2024-11-21en_UK
dc.identifier.urihttp://hdl.handle.net/1893/36524-
dc.description.abstractPurpose Predictive maintenance (PdM) has attracted increasing attention in recent years owing to the emergence of advanced condition-monitoring technologies and data analytics tools. However, the application of PdM in spare parts inventory management across the Supply Chain (SC) has not been sufficiently investigated and its Digital Transformation (DT) requirements have not been adequately researched. Therefore, this study aims to analyse the organisational readiness for the use of integrated spare parts inventory management together with PdM systems across the SC. Design/methodology/approach A series of semi-structured interviews were designed and took place across organisations in various industries to address the pre-defined research aim. In total, 15 interviewees were recruited through purposive sampling, including managers and technicians in various organisations from different industries. Findings The findings reveal that while maintenance planning and optimisation has been the subject of extensive research for decades, manufacturers are still encountering barriers in adopting and implementing digital innovations. The experts also highlighted the need for an integrated Information System (IS) enabling data sharing across the organisation since lack of integration has a vital impact on the overall business and operations performance as well as the successful DT of the enterprise. In addition, they report that the necessary and relevant data for implementing PdM is not captured or stored in their organisations. Originality The present study emphasises the technical, organisational, and environmental (TOE) dimensions that can affect such DT, and sheds light on the enablers and inhibitors that organisations face in their efforts to be technologically ready to embrace the digital integration of PdM with spare part inventory management. It is recommended that a clear shift in management mindset and organisational culture is necessary for companies to realise the benefits of PdM and the DT that will result from its implementation.en_UK
dc.language.isoenen_UK
dc.publisherEmeralden_UK
dc.relationSkoumpopoulou D, Toliyat SMH, Ojra A, Shokri A & Hu S (2024) Challenges of achieving digital transformation in manufacturing firms: the case of predictive maintenance and spare part inventory management Journal of Manufacturing Technology Management. <i>Journal of Manufacturing Technology Management</i>. https://doi.org/10.1108/JMTM-04-2024-0211en_UK
dc.rightsPublisher policy allows this work to be made available in this repository. Published in Journal of Manufacturing Technology Management by Emerald. Skoumpopoulou, D., Toliyat, S.M.H., Ojra, A., Shokri, A. and Hu, S. (2024), "Challenges of achieving digital transformation in manufacturing firms: the case of predictive maintenance and spare part inventory management", Journal of Manufacturing Technology Management, Vol. ahead-of-print No. ahead-of-print.. The original publication is available at: https://doi.org/10.1108/JMTM-04-2024-0211. This author accepted manuscript is deposited under a Creative Commons Attribution Non-commercial 4.0 International (CC BY-NC) licence. This means that anyone may distribute, adapt, and build upon the work for non-commercial purposes, subject to full attribution. If you wish to use this manuscript for commercial purposes, please contact permissions@emerald.comen_UK
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/en_UK
dc.subjectDigital transformationen_UK
dc.subjectPredictive maintenanceen_UK
dc.subjectSpare partsen_UK
dc.subjectInventory managementen_UK
dc.subjectSupply chainen_UK
dc.subjectTechnology readinessen_UK
dc.titleChallenges of achieving digital transformation in manufacturing firms: the case of predictive maintenance and spare part inventory management Journal of Manufacturing Technology Managementen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.1108/JMTM-04-2024-0211en_UK
dc.citation.jtitleJournal of Manufacturing Technology Managementen_UK
dc.citation.issn1741-038Xen_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusAM - Accepted Manuscripten_UK
dc.contributor.funderInnovate UKen_UK
dc.author.emailseyed.toliyat@stir.ac.uken_UK
dc.citation.date21/11/2024en_UK
dc.description.notesOutput Status: Forthcoming/Available Onlineen_UK
dc.contributor.affiliationNorthumbria Universityen_UK
dc.contributor.affiliationManagement, Work and Organisationen_UK
dc.contributor.affiliationSwansea Universityen_UK
dc.contributor.affiliationNorthumbria Universityen_UK
dc.contributor.affiliationNorthumbria Universityen_UK
dc.identifier.wtid2050581en_UK
dc.contributor.orcid0000-0002-7673-9210en_UK
dc.date.accepted2024-09-10en_UK
dcterms.dateAccepted2024-09-10en_UK
dc.date.filedepositdate2024-11-24en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionAMen_UK
local.rioxx.authorSkoumpopoulou, Dimitra|en_UK
local.rioxx.authorToliyat, Seyed Mohammad Hossein|0000-0002-7673-9210en_UK
local.rioxx.authorOjra, Ahmad|en_UK
local.rioxx.authorShokri, Alireza|en_UK
local.rioxx.authorHu, Shanfeng|en_UK
local.rioxx.projectProject ID unknown|Innovate UK|http://dx.doi.org/10.13039/501100006041en_UK
local.rioxx.freetoreaddate2024-11-25en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by-nc/4.0/|2024-11-25|en_UK
local.rioxx.filenamePDF_Proof JMTM.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source1741-038Xen_UK
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