BAUDIS IoT – Predictive maintenance and process optimization reduces service costs
CHALLENGE
- Ongoing optimization of availability required in production
- High maintenance and spare parts costs due to fixed maintenance intervals
- Heterogeneous machinery with different manufacturers and years of manufacture
- Globally used, highly-specialized service teams
- Complete BAUDIS IoT system
- Design and consultation, sensor system, evaluation units, software, connection to the IT infrastructure
- Digitization of brownfield and greenfield plants
- Increased availability: Predictable maintenance measures reduce service costs and downtime
- Cost reduction: Maintenance and replacement only due to actual wear
- Service optimization: Resource-optimized planning of service deployments
- Increased productivity: Ongoing process analysis and optimization through customizable big data algorithms
- Scalable solution: Can be used independently of the manufacturer and year of manufacture and thus is flexible to retrofit and expand