In today's rapidly evolving manufacturing landscape, leveraging technology for efficient and informed operations is crucial. SAP Digital Manufacturing offers an innovative solution, providing a seamless integration between the virtual and physical realms of production. This transformative approach ensures precise operations, real-time monitoring, and data-driven decisions. Dive in to understand how our bicycle company example harnesses this cutting-edge technology to revolutionize its production line.
Digital Twin Use Cases in SAP Digital Manufacturing
The figure "Digital Twin Use Cases in SAP Digital Manufacturing" offers a concise overview of the three digital twin use cases:
Production Routing:
Displayed within SAP Digital Manufacturing, it showcases various operations in our manufacturing process.
Decision Branch:
Based on the quality inspection outcome, the operator determines if production can proceed. If not, a non-conformance is logged.
Robot Assembly Sub-process:
Upon activation, the robot retrieves raw components from the staging area, placing them on a handling unit. This unit moves to a sensor-check position. If fewer than six units are detected, more components are added. With exactly six units, hot pressing begins.
From the operator's perspective, this looks as follows:
The operator accesses the Production Operator Dashboard (POD) in SAP Digital Manufacturing and reviews their task list.
After prepping, they select the next production unit and initiate it with the Start Production button, triggering the Hot Forming operation.
As this operation correlates with a specific process, all steps are auto-executed.
Upon completion, the operator receives a success message.
Subsequently, the data collection phase auto-initiates, thanks to the assembly robot signaling the completion of the first operation to SAP Digital Manufacturing.
Integrated with the robot's sensors, a set of data parameters is auto-retrieved and stored in the SAP Digital Manufacturing database, linked to the current unit.
Post successful data collection, the operation concludes, and the in-process quality inspection begins. The operator assesses the gathered data and inspects the produced item.
Depending on the evaluation, they either log a non-conformance for repair or finalize the production by selecting the Complete Production button.