You hear it more and more often: predictive maintenance. And rightfully so, because it enables businesses to predict a future failure point in their assets. With all the benefits that are a result of this, like minimal loss in production and less downtime and maintenance costs, you would think that most businesses have this technology in place. Unfortunately, nothing is less true.
In this webinar you will learn how to:
- Significantly reduce unplanned machine downtime.
- Decide when any particular asset needs maintenance.
- Ensure that machines are taken for maintenance before they fail, resulting in minimal losses in production.
- Accomplish all of the above without having to own any extra equipment.
Pieter Van Camp
Pieter excels in advising companies in their digital transformation to maintenance 4.0 without losing sight of the technical needs to make this transformation a success. He is very enthusiastic about the fact that the reliability engineer meets the data scientist at an accelerated pace. In his role within I-care group, he guides innovations to full market potential taking into account not only the technical aspects of a maintenance 4.0 solution but also the human, systematic and organizational changes that come with it.
Pieter has been active in the world of maintenance and reliability for over twenty years and has always been a frontrunner when it comes to business transformation, digitization and industry 4.0. With his extensive experience in this area, he knows how to enthuse, convince and include people in his story.
For more information about Pieter, you can follow him on LinkedIn
Since its beginning, I-care™ has acquired an outstanding know-how in Predictive Analytics for Maintenance and Reliability Solutions.
Today, we are proud to say that I-care™ is one of the few companies in the World able to propose to its customers an end-to-end solution in Industrial Asset Health Management.