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Results:
GESTAMP, besides getting familiar with Z-BRE4K’s solution validation and assessment methodology, got a better understanding of internal reflection and readiness to apply predictive maintenance solutions to its plants while new mitigation actions related to process flaws and defects identification were developed during the Z-BRE4K. Also, they have understood the importance of solution validation and assessment methodology defined in Z-BRE4K.
SACMI-CDS found out the importance of collaboration not only with a mechanical engineering/maintenance-related professionals but also with different technical background experts that together can improve multi-tasking and combining shopfloor and office-related activities as well as scheduling of activities during the work journey.
In general, after the solution implementation (TRL5), testing the system on the shop floor (TRL6) and validation of the Z-BRE4K solution (TRL7) at end users, the very final lesson learnt can be summarised as follows:
- Live data are gathered by sensors and other systems.
- Data from individual data systems incorporated in a distributed system.
- Quality and maintenance measurements are available.
- Manual maintenance schedules are replaced with PdM procedures and schedules.
- Maintenance experts supported by gathered data and predictions to improve their know-how in the maintenance domain.
- PdM accuracy and performance is established.
- Productivity improved.
- Cost reduction obtained.
- Possibility of Testing a full end-to-end solution for maintenance management including prescriptive and predictive analytics.
PHILIPS supports the idea of predictive maintenance, “listening to the machines” and understands that the key to success is close contact between technology providers and experts where data integration/architecture and machine learning are both very important projects.