Why NouxCloud in these cases?
Machine or line is divided to different visualized sections (dashboard). Key performance indicators of each section are monitored and analyzed (dataflow). The system gives information with alarms and tickets through email and sms to the operator such as when to fill materials and operate maintenance or to the manager, e.g. analysis over different operators.
Most machines have parts that needs to be changed repeatedly and selling them can be a significant part of the OEM’s revenue. The OEM can monitor key indicators of the machine part lifetime online (dataflow). This can generate tickets to sales and aftersales department through email or directly to e.g. an online store using integration tokens.
In many cases equipment is either using material delivered by the OEM or the quality of the end product is very dependent of the used material. Consumables can be significant part of the OEM’s revenue. The OEM may also face complaints with the root cause being the consumable rather than the machine. The OEM can monitor usage of the consumable materials and analyze the quality of the production with different consumables through dataflow. Usage of the material can generate tickets to sales and aftersales department through email or directly to e.g. an online store using integration tokens. Analytics can be used in complaint cases or be part of reporting service to the end customer.
An application by which the manager of operators can make, receive and distribute work-orders and recipes between different machines and cells or even factories with custom schema and objects. This can be done with the easy visual dashboard tool either on the cloud or on-premises.
An application by which the OEM handles software like PLC code, Docker containers etc., version or file handling and HostAPP distribution in a globally installed base.
The OEM can provide saving into a harmonized, logically named and well-designed EdgeAPP time-series-database for the end customer and also for their own R&D use. The dataflow can be analyzed and the data can be used when building other applications or analyzing the production using integration tokens.
Collect data from any automation platform, run it on any cloud platform, private server o even locally inside the factory.