We feed all sensor data from your machines into a self-learning system. With the help of weighted input factors we calculate outage probabilities. For this purpose current machine parameters are compared to specifications and historical data. Finally, a Predictive Maintenance model, which quickly and reliably detects irregularities.
Optimize fleet management
Since the development of the CAN bus system it has become common to equip utility vehicle fleets with ISDN modems and maintenance modules. Where maintenance is required this enables long distance diagnoses for your utility vehicle fleet management. Today, the opportunity arises to equip your vehicle fleet with LTE or GPRS to permanently assess the vehicle’s condition. Thus, you can act early to plan a repair. The goal of that system is to detect imminent problems on due time in order to offer sufficient time. At the same time, unnecessary repairs can be avoided.
As a mid-tier company, Predictive Maintenance allows you to minimize maintenance windows and costs for spare parts. This allows you to work efficiently. Mobile vehicles and stationary vehicle fleets can be monitored via the internet and predictive algorithms.
If you already possess of a high quantity of sensors within your machines or production chains, we offer implementations and consulting solutions with our products Analytics and Data Stratosphere. We provide you with tools for process optimization and to reduce outages – in production and in customer projects. After a training phase, already controlled LEAN or SixSigma processes are identified. In the end, you will receive a gapless Supply Chain Management.
Wenn sie bereits über eine Vielzahl von Sensorik in ihren Maschinen oder Produktionsketten verfügen, bieten wir mit unseren Produkten Analytics und Data Stratosphere Beratungs- und Implementierungsmaßnahmen an. Sie erhalten Werkzeuge zur gezielten Prozessverbesserung und Reduktion von Ausfällen – beim Kunden und in der Produktion. Bereits kontrollierte Prozesse aus LEAN und SixSigma werden automatisiert. Abweichungen in Produktion und Betrieb werden nach einer Trainingsphase ebenfalls erkannt. Sie erhalten ein lückenloses Supply Chain Management.