We transfer all data from your machine’s sensors into a self-learning system. Based on weighted input factors we calculate probabilities of outages. To achieve this, current machine parameters are compared to specifications and historical data. Finally, we develop a Predictive Maintenance Model, which quickly and reliably detects irregularities.
Since the development of CAN bus, it is common procedure to equip commercial vehicle fleets with ISDN-modems and maintenance modules. This enables your fleet management to carry out remote diagnoses in case of maintenance or repair. Today, it is beneficial to equip one’s fleet with LTE or GPRS, to permanently receive automized assessments of the vehicle’s condition. Thus, you can act early and dispatch a repair. The goal is, to identify future problems at an early stage, in order to have enough time to react. Meanwhile, you decrease unnecessary maintenance costs.
Predictive Maintenance thus allows you, to reduce maintenance windows as well as the costs for spare parts. In other words, it allows you to work more efficiently. Vehicle fleets and machine fleets can thus be monitored using predictive algorithms and the internet.
In case you already dispose of a large number of sensors within your machines or your supply chains, we offer consulting and implementation services with our products Analytics and Data Stratosphere. We provide you with efficient tools for process optimation and reduction of outages. Already established processes like LEAN and SixSigma are fully automized. Furthermore, you detect variations in production and service after a training period. In the end, you receive a gapless supply chain management.