Abstract: A computing system may include a logic construction engine configured to construct, via multi-level prediction, workflow logic to process a computer-aided design (CAD) model. The logic construction engine may do so by identifying a multi-node sequence inserted into the workflow logic, aggregating past workflow data specific to the multi-node sequence, determining a node prediction in the workflow logic for the multi-node sequence based on the aggregated past workflow data, and providing the node prediction as a suggested insertion for the workflow logic.

Abstract: A digital design system 10 is described which includes a user interface 12 that is used to interact with a digital data set 14. The digital model data set 14 is augmented by smart model attributes and business process attributes stored in data sets 16 and 18, respectively. Business process attributes data set 18 may include information associated with quality information, safety information, revision information, and information links to other data sets. A knowledge base data set engine 20 inferentially applies attributes to various features, components, and processes defined in the digital model data set 14.

Abstract: A digital design system 10 is described which includes a user interface 12 that is used to interact with a digital data set 14. The digital model data set 14 is augmented by smart model attributes and business process attributes stored in data sets 16 and 18, respectively. Business process attributes data set 18 may include information associated with quality information, safety information, revision information, and information links to other data sets. A knowledge base data set engine 20 inferentially applies attributes to various features, components, and processes defined in the digital model data set 14.