Driving Industry 4.0 at Distributed Edges with Cloud Orchestration
More advanced scenarios combine Smart Sensing with condition monitoring of sensitive goods leveraging IoT sensors , which ingest their readings into the same edge node used to process Smart Sensing events . Consider cold chains or delivery of fragile goods . Business rules monitor the continuous stream of IoT data from the sensor locally ( at the edge ) and only send IoT alerts to the cloud if beyond tolerances . These IoT alerts are seamlessly integrated into the user experience in S / 4HANA . Rather than showing up in a siloed IoT app , the IoT alert appears , for example , embedded into the sales order app used by the targeted persona – for example a sales manager .
Edge Computing in Digital Manufacturing
The following scenario outlines the business value proposition of the edge computing solution presented above by applying it to solve mission critical manufacturing processes and to make supply chains more resilient . Figure 7 shows this scenario showcasing the manufacturing of an incoming order for a specific product – for example N95 masks .
Fig . 7 - Scenario of mission critical manufacturing process using SAP ’ s edge computing solutions .
In the first step of Figure 7 , the incoming order that is initially placed in S / 4 HANA Cloud is integrated via standards interfaces into Digital Manufacturing Cloud ( DMC ). DMC covers functionalities for production process design , resource orchestration , manufacturing execution , monitoring , and analytics . Using its business functionalities , DMC ensures through configurable data partitioning that this order and its associated data are routed only to the correct plant . Such central cloud plane ensures low TCO and oversight across a potentially complex edge topology . The DMC for edge computing deployed at this plant obtains the order for N95 masks from DMC in the
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