Li, JiahongMilisavljevic-Syed, JelenaSalonitis, Konstantinos2024-09-172024-09-172024Li J, Milisavljevic-Syed J, Salonitis K. (2024) Predictive maintenance servitisation pathways. IFAC-PapersOnLine, Volume 58, Issue 8, pp. 329-3342405-8963https://doi.org/10.1016/j.ifacol.2024.08.142https://dspace.lib.cranfield.ac.uk/handle/1826/229156th IFAC Workshop on Advanced Maintenance Engineering, Services and Technology AMEST 2024, 12-14 June 2024, Cagliari, ItalyThe 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.pp. 329-334enAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/4007 Control engineering, mechatronics and robotics4008 Electrical engineeringArticle552918588