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Cross-Industry Predictive Maintenance Optimization Platform

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Solving the combinatorial puzzle

March 5, 2020

Novel Algorithms for Multiobjective Optimization of Maintenance Scheduling To find optimal schedules for maintenance is a difficult combinatorial puzzle that belongs to the class of so-called NP-hard problems, for which only algorithms with an exponentially growing running time are known. Researchers in the CIMPLO project managed to model maintenance scheduling as a multiobjective problems and …

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Upcoming user committee meeting

March 5, 2020

On May 8th the fourth CIMPLO user committee meeting will be held at LIACS, to inform and discuss with all partners, users as well as NWO the progress and future plans of the project.

Visit KLM engine services

March 5, 2020

The CIMPLO team visited KLM Engine Services on the 17th October 2018 at Schiphol Airport. KLM is one of the industrial partners within the CIMPLO project. The very productive and fruitful meeting was intended to discuss data availability for the optimization platform. The meeting ended with a tour of the KLM engine services workshop providing team members an in depth view of the practical side of engine maintenance.

CIMPLO team attends the annual SI2016 meeting Utrecht

March 5, 2020

The CIMPLO Team attended the annual NWO-TTW program meeting Smart Industry 2016 (SI2016) held in Utrecht on the 9th October 2018. The meeting was organized for all recipients of the SI2016 grand, and allowed not only to present the current status of the projects but also to network and share experiences. This included members of the academic research groups as well as the collaborating industrial partners. An external moderator facilitated in-depth discussion and exchange of ideas and possible future-collaborations.

Predictive maintenance

March 5, 2020

As systems and equipment become more complex and expensive, the competition drives industries to become increasingly concerned about system reliability and availability. The need to reduce maintenance and logistics costs while at the same time minimizing the risk of catastrophic failures, and maximizing system availability is leading a drive towards predictive maintenance.  In predictive maintenance,  …

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CIMPLO

December 12, 2017

Traditional maintenance concepts rely on a “fixed interval approach”, which takes into account a significant safety margin. As a consequence, maintenance is almost always taking place too early or too late, which makes it probably one of the most inefficient industrial activities and most critical at the same time The CIMPLO-project aims at developing a …

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Events

CANCELED - April 23, 2020 from 14:00 PM to 17:00 PM

Due to the current COVID-19 situation, the UC meeting has been postponed. We will try to schedule the meeting towards the end of the year taking the situation into account. On April 23, the sixth meeting of the User Committee takes place at LIACS, Leiden. The theme of the meeting is to discuss the progress of the project and use of results.

October 8, 2019 from 9:30 PM to 18:00 PM

On October 8, the third NWO Smart Industry SI2016 Programme meeting takes place at NWO, Utrecht. At the programme meeting all project teams present and discuss the their progress and results.

October 7, 2019 from 14:00 PM to 17:00 PM

On October 7, the fifth meeting of the User Committee takes place at LIACS, Leiden. The theme of the meeting is to discuss the progress of the project and use of results.

May 16, 2018 from 10:00 AM to 12:30 PM

On May 16, the second meeting of the User Committee takes place at LIACS, Leiden. The theme of the meeting is to discuss the progress of the project and use of results.

Oct 26, 2017 from 13:00 PM to 16:00 PM

On October 26, the kick-off meeting of the User Committee takes place at LIACS, Leiden. The theme of the meeting is to discuss the progress of the project and use of results.

Aug 31, 2017 from 09:30 AM to 12:00 PM

On August 31, the kick-off meeting of CIMPLO project takes place at LIACS, Leiden. The theme of the first event is to discuss project expectations.

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