Refurbishment and remanufacturing based on big data analytics, machine learning, predictive analytics, and optimisation models using deep learning techniques and digital twin models with the aim of enabling the stakeholders to make informed decisions about whether to remanufacture, upgrade, or repair heavy machinery that is toward its end-of-life.
Call for proposals “Refurbishment and re-manufacturing of machinery in Cyber-Physical Production Systems” RECLAIM is organising a special session as part of the 26th International Conference on Emerging Technologies and Factory …
Circular Economy Strategies for Equipment Lifetime Extension: A Systematic Review RECLAIM has published a new paper in “Circular Economy and Sustainable Strategies“. This paper provides a systematic literature review of …
RECLAIM participated at the 32.BIMU Fair Elena Mocchio and Adriano Ferrara from UNI represented the RECLAIM project at the 32. BIMU Fair in Milan – the most important Italian event …
Read moreRECLAIM participation at BIMU: The role of standardisation in remanufacturing
Tackling machine ageing is key to improving efficiency and competitiveness in Europe’s manufacturing industry. Industry experts explain how digital tools enable companies to reduce failure costs and to make infrastructure …
Read moreExpanding machinery lifetime leads to greater profits
Your coffee machine, your car, your shoes, shirts, tv, suitcase, sofa – they are all products of manufacturing industries.
You can’t teach an old dog new tricks, as the saying goes. But what if you could make some slight tweaks to dramatically improve the dog’s performance? In most …
Read moreDigital makeovers for old machinery propels industry towards a cleaner and greener future
Manufacturing is a pillar of innovation and growth for Europe, providing over 32 million jobs and 16% of GDP; but outdated machinery and unplanned downtime can cause significant losses for …