THIS IS WHY PREDICTIVE MAINTENANCE IS NEEDED
Companies are under constant pressure to operate efficiently. By using predictive maintenance, potential problems can be identified before they become an issue. This helps minimize downtime, reduce repair costs and optimize maintenance schedules.
For companies concerned about sustainability, predictive maintenance is essential. By identifying potential equipment failures before they occur, companies can conserve resources, extend the life of their machines and reduce their environmental footprint.
The shortage of skilled labour is one of the biggest challenges facing companies. By using predictive maintenance software, companies can reduce their dependence on labour as well as relieve existing maintenance staff.
Supply chain bottlenecks
Supply chain bottlenecks can be managed through the use of predictive maintenance by proactively minimising downtime and improving the reliability of asset performance. This enables companies to meet customer demand even in difficult times.
AI-OMATICS VALUE PROPOSITION
ai-omatics maintenance assistant analyses live sensor data from machines and points out anomalies in this data. With the help of a calculated health score between O and 100%, which is displayed on a user-friendly web dashboard, ai-omatic provides its customers with a precise insight into the condition of their machines, which they can now monitor easily and conveniently in the browser.
With the help of the maintenance assistant, maintenance staff can reduce the problem of unplanned machine downtimes and make maintenance decisions based on the condition of the machine.
Predictive maintenance has never been so easy!
THE ADVANTAGES OF THE MAINTENANCE ASSISTANT
UNCOMPLICATED MACHINE MONITORING
The maintenance assistant enables unattended, fully automatic monitoring of machines and systems
A health score provides an insight into the health status of the machines and individual components.
RECORDINGS AND ALERTS
Abnormal machine behaviour is detected at an early stage and warning messages enable timely intervention
RAPID ANALYSIS OF THE ROOT CAUSE
In the event of a deterioration of the health score, an immersion into the interior of the machine enables a quick identification of the root cause.
By improving the maintenance process, maintenance costs are lowered and machine downtime is reduced
Efficiency is increased through improved maintenance and optimized use of resources.
OUR CUSTOMERS AND PARTNERS
"ai-omatic's solution provides a fast and reliable path to the zero failure target in predictive maintenance compared to traditional methods!"
Christian Bittel, Digitalization Software Architect Digital Industries IoT, Siemens