Use cases
Business benefits
Why NouxCloud in these cases?
With Noux Node’s ready-made low-code tools, machine builders can efficiently create solutions for any familiar process. This not only enhances process effectiveness but also allows monetization of their expertise with minimal investment.
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.
- Value to End Customer: Well-designed application can increase Overall Equipment Efficiency (OEE) with several %-units and thus be worth a lot depending on the process.
- Business model: The OEM can sell such an application as software-as-a-service either as cloud solution or an on-premises software.
- Value to End Customer: A well-designed application can increase uptime with several percentage units.
- Business model: The OEM can make different levels of service agreements with fixed costs with annual or monthly payments as well as increase spare part sales.
- Value to End Customer: Sales department can report the quality of the material to their customers.
- Business model: The OEM can earn by selling each report.
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.
- Value to End Customer: A well-designed application can decrease downtime by several percentage units.
- Business model: The OEM can increase revenue with the application or by increased spare part sales.
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.
- Value to End Customer: Well-designed application can increase the production value with several percentage units.
- Business model: The OEM can increase revenue with the application or by increased consumable sales.
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.
- Value to End Customer: Save time and decrease the know-how requirement of individual machine and cell operators.
- Business model: The OEM can sell applications as software-as-a-service either as cloud solutions or on-premises software.
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.
- Value to End Customer: Guarantees having always the latest security updates as well as new features in their machines without stopping the production process.
- Business model: The OEM can sell the update service.
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.
- Value to End Customer: End customer gets the data to use in process and production optimization having the potential to increase production value significantly.
- Business model: The OEM can sell the data to its customers and use it to make better machines increasing revenue.
No dependencies,
no limitations
Collect data from any automation platform, run it on any cloud platform, private server o even locally inside the factory.
