PreCoM is a 3-year project, funded by the Horizon 2020 Programme, which aims to deploy and test a predictive cognitive maintenance decision-support system to improve preventive maintenance and ultimately increase in-service efficiency of machines. It will be demonstrated in three different use cases with low volume, high volume and continuous manufacturing.
We are approaching the end of the PreCoM project and therefore, we are working hard to assess the project's impact. We are conviced, that our impact on the use case companies was huge! However, in order to get an obejctive evaluation, we, of course, apply...
In this episode of our predictive maintenance podcast, Mario Lorenz from Technical University Chemnitz explaines their innovative augmented reality system for maintenance support. Check out their website for more info www.tu-chemnitz.de/mb/psp/index.php.en The podcast...
Our partners from PARAGON (paragon.gr) present and descrbe their innovative scheduling algorithm that is applied in the PreCoM system for production and maintenance scheduling, Check out the podcast episode on SoundCloud:...
In April we held our sixth Executive Board meeting in Athens, Greece. We spent two days of preenting the current status of the project and discussing further actions to be taken. This year is exciting for the PreCoM project, since we will have aour first Technical...
From 15th to 17th of January PreCoM partners assembled in Spain for a workshop on the use-cases. After a first discussion and a tour at IK4-IDEKO, the fascilities of the use-case companies SAKANA and Goma-Camps were visited.
Learn how PreCoM can help you to increase your machine availability
PreCoM has received funding from the European Union’s Horizon 2020 research and innovation programme FOF 09-2017 under grant agreement No 768575. 17 Partners from 6 countries are involved in the project: 3 end-user factories, 3 machine-tool suppliers, 1 leading component supplier, 4 innovative SMEs and 6 research institutes.