This is now closed for submissions.
The objective of the 4th IFAC Workshop on Advanced Maintenance Engineering, Services and Technology (AMEST’20) is to 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. This workshop is sponsored by IFAC TC 5.1 and is co-sponsored by TC 5.2, 5.3 and 6.4. The workshop is also supported by the International Federation for Information Processing (IFIP), the Prognostics and Health Management (PHM) Society, and the European Safety and Reliability Association (ESRA). We are seeking abstracts (up to 2 pages) from industry practitioners that illustrate innovative digital solutions and their implementation, the journey towards digitalisation, as well as challenges and opportunities in the area of maintenance and asset management.
Selected abstracts will be invited for presentation in industry-focussed sessions and panels at the workshop. We envisage the following benefits to the industry speakers and participants:
- Learn about the cutting-edge research happening in the academic community
- Understand how your counterparts are addressing the challenges you face
- access new developments in research and build collaborations
- raise the profile of your company to academic and industry audiences
- network with an international community
Topics
The 4th IFAC AMEST’20 Workshop is seeking original papers on topics including the following (and related areas):
| • Deterioration Modeling | • Asset Lifecycle Management |
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• Maintenance Strategies |
• Integrated Maintenance and Production Systems |
| • Condition Monitoring | • Logistics and Maintenance Systems |
| • Low-cost Monitoring Approaches | • Simulation and Optimisation in Maintenance |
| • Condition-based Maintenance | • AI in Maintenance |
| • Diagnostics and Prognostics | • Industrial Internet of Things |
| • Predictive Maintenance | • Cyber-Physical Systems |
| • Digital Twins for Asset Management | • Business Models for Maintenance Services |