Opening Remarks by the event chairman of the Maintenance Analytics Summit, Diego Galar, Professor at Luleå University of Technology
Category - Maintenance Analytics Summit 2019
Systematic Approach to Maintenance Analytics Delivers Good Results – Marko Yli-Pietilä, Stora Enso
Analytics alone will not improve maintenance performance. One needs systematically improve all areas related to proactive maintenance namely process, connectivity, analytics and devices. In Stora Enso we started the...
Using Service Data in Improving Sales and Operations – Henri Luotonen, Konecranes Finland
Practical examples of how Konecranes is using data from service delivery processes to improve the service sales and operations. Presentation covers the challenges and learnings from the projects Key Takeaways...
Implementing Predictive Maintenance in Heavy Industries – Antti Löytynoja, Mathworks
The fourth industrial revolution is upon us and companies are striving to become more efficient and profitable by developing AI-driven services such as predictive maintenance. Data scientists & IT organizations are...
Cleaner, Better, Cheaper! Water Treatment Plants – Helle Kem Rehmeier, Grundfos
Ever increasing environmental requirements call for a change in water treatment. Grundfos Smart Filtration combines digital twins, real-time analytics, reinforcement learning, and expert knowledge to optimize...
From Gut Feeling to Fact Based Decisions – Johnny Stieger, SKF
From gut feeling to fact based decisions. How transition from gut feeling and experience based decisions are changing to fact based, using both the advantages of digitalization through connected equipment, to...
Developing a Predictive Maintenance Program – Noah Schellenberg, Tetra Pak Data Science CoE
The session will talk about the life cycle approach to building a predictive maintenance model always focusing on the value. Tetra Pak has been on a predictive maintenance journey for several years and we will walk...
Applying Data Analytics to Leverage More Energy From Renewables – Pramod Bangalore, Greenbyte
In the highly competitive world of renewables it is essential to get as much as possible from your assets. During this session we share our experience of utilizing Machine learning and AI to derive valuable insights...
Data-Driven Methods for PdM in Smart Energies – Hassan Nemati & Kobra Etminani, Halmstad University
Analytics alone will not improve maintenance performance. One needs systematically improve all areas related to proactive maintenance namely process, connectivity, analytics and devices. In Stora Enso we started the...
Creating Condition Monitoring Platform on Road to Vessel Autonomy-Are Folkestad, Kongsberg Maritime
Condition monitoring to pave the way for autonomous vesselsCondition monitoring to improve operational efficiencyServing the needs of a wide variety of products and operating conditions.Creating a big data platform as a...
