Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/36524
Appears in Collections:Management, Work and Organisation Journal Articles
Peer Review Status: Refereed
Title: Challenges of achieving digital transformation in manufacturing firms: the case of predictive maintenance and spare part inventory management Journal of Manufacturing Technology Management
Author(s): Skoumpopoulou, Dimitra
Toliyat, Seyed Mohammad Hossein
Ojra, Ahmad
Shokri, Alireza
Hu, Shanfeng
Contact Email: seyed.toliyat@stir.ac.uk
Keywords: Digital transformation
Predictive maintenance
Spare parts
Inventory management
Supply chain
Technology readiness
Issue Date: 21-Nov-2024
Date Deposited: 24-Nov-2024
Citation: Skoumpopoulou 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-04-2024-0211
Abstract: Purpose 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.
DOI Link: 10.1108/JMTM-04-2024-0211
Rights: Publisher 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.com
Notes: Output Status: Forthcoming/Available Online
Licence URL(s): http://creativecommons.org/licenses/by-nc/4.0/

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