After only a few laps, the computers of Formula One teams already know the most likely final ranking. That’s because machines and devices don’t just break down out of the blue. Their faults are preceded by irregularities. Sensors capture data that intelligent models translate into reliable prognoses. Predictive maintenance is revolutionizing the service business.
By using predictive maintenance, machine and equipment manufacturers address their customers’ most important challenges: to sustainably lower costs and comply with strict delivery dates. It reduces downtime due to unexpected failures to a bare minimum, and allows maintenance to be scheduled for the ideal moment. Similarly, it detects problematic operational procedures. The intelligent evaluation of machines’ sensor data results in:
Companies are increasingly looking to outsource maintenance and operational tasks in order to concentrate on their core competences. They demand high standards of service quality.
At the same time the cost pressure from third-party providers remains strong. Combining the Internet of Things (IoT) with big data, predictive maintenance provides machine and equipment manufacturers with the unique opportunity of expanding their maintenance business.
Being able to offer cost-efficient additional maintenance and operational services enhances manufacturers’ flexibility.
Like no other engineering company, Zühlke consolidates all competences required for successful predictive maintenance:
Zühlke supports you in your specific needs from A to Z. Together with you, our specialists will design the predictive maintenance solution that offers you the best cost-benefit-ratio.