Driving Industry 4.0 at Distributed Edges with Cloud Orchestration
cloud . Both DMC in the cloud and at the edge are seamlessly integrated considering security standards .
Production Supervisor on the plant is responsible for managing the production lines , the staff assigned to this plant , and materials . Last minute factors such as workers calling sick , machine breakdowns , and unavailability of materials and resources , require prompt and agile changes to the production line . Consider that the next order in the production line is the N95 masks , but the quality measurements tools needed to fulfill the quality standards of N95 are unavailable due to faults . The Production Supervisor , using DMC for edge computing , postpones this Order Execution and starts a run of consumer grade masks instead , even though the internet is not available . Business functionalities available in DMC for edge computing such as Business Data Partitioning and Business Object Synchronization allow that the respective business objects such as production order , execution order , and resource orchestration have been already synchronized as cloud connectivity was available . This ensures delays are avoided and keep to their production targets ( e . g ., keep OEE as high as possible ).
Also , on the plant , Production Operators use DMC for edge computing to run the order and create confirmations while completing the order . As shown in Figure 7 , data-driven insights are enabled with IoT components . Plant connectivity connects to machines and ingest data using business context to identify and illustrate quality or non-conformance with a production order . Confirmations are then updated and associated with the order at the edge in real time .
By enabling edge deployment of cloud capabilities , customers can add resilience to their mission critical business processes when unforeseen last-minute changes can be handled locally and quickly .
DISCUSSION & OUTLOOK
Discussion This paper discussed how cloud orchestration solutions can drive Industry 4.0 at distributed edges and introduced the key requirements of modern edge computing approaches to enable mission critical execution . We outlined recommendations on what business applications and data are needed as well as where to deploy them within the edge-cloud continuum to ensure the customer specific business value proposition . Edge computing solutions such as SAP Digital Manufacturing Cloud for edge computing and Edge Services provide a full set of features enabling mission critical execution of distributed manufacturing processes . These enterprise-ready solutions enable the edge deployment of cloud capabilities . By bringing capabilities from cloud native to the edge and orchestrating it from the cloud , enterprise solutions can add the following value to business processes :
• Flexibility : Applications can be deployed , orchestrated , and managed on edge devices with a variety of processing and storage capabilities ( light ( small ), medium , heavy ).
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