We are glad to announce the following sessions at the IFAC AMEST 2020 workshop coming from the research performed under PROGRAMS project. The four sessions were:
1. PROGRAMS Project Approach to Maintenance Management
2. Maintenance Schedule Optimisation for Manufacturing Systems
3. Machines’ Behaviour Prediction Tool (BPT) for Maintenance Applications
4. Maintenance Service Platform (MSP) for Maintenance Information Collection and Sharing
The 4th IFAC AMEST (Advanced Maintenance Engineering, Services and Technologies) 2020 was a virtual congress organized by the University of Cambridge the 10-11th September.
https://www.amest2020.eng.cam.ac.uk/
We are living in a digital era. It is evident that the practice of maintenance and asset management has the potential to be one of the biggest beneficiaries of this digital revolution. Concepts such as Industrial Internet of Things, Cyber Physical Systems and Digital Twins are now seen as major opportunities for companies in the manufacturing and infrastructure sectors to improve their products, processes and services. The linkage between the real world and the virtual world enabled by these emerging technologies – supported by new data analytics and innovative machine learning techniques – allow optimised maintenance of industrial systems.
The 4th IFAC AMEST’20 Workshop will bring together experts from academia and industry to discuss the latest advances in digital technologies and their impact on reliability, maintenance and asset management. The workshop will cover a broad range of research and application topics exploring the role of data-driven maintenance and asset management within the domains of manufacturing and infrastructure.
Please check the congress programme&speakers here: link