In this demo, you will learn how engineering data is created, viewed, and updated in the Product Engineering application using a controlled change process through automated workflow, to increase productivity and reduce redundant entry, errors, and rework.
The value of managing architectural models in PLM goes well beyond the benefits of Configuration, Change and Lifecycle Management of the model itself. It includes the additional benefits of dynamic interaction, collaboration, reuse, and traceability between SysML and the various data models and structures already managed by PLM. These include, derivation of SysML model from PLM managed architectural structures, dynamic interaction with requirement structures, physical parts and assemblies, dynamic generation of SysML like diagrams in PLM and elements of PLE definitions between SysML and PLM
Watch this presentation to see the value of the integration between PLM and System Model demonstrated using Aras PLM platform and No Magic’s MagicDraw and how this can help you in implementation of a SysML driven MBSE methodology across the entire enterprise.
The rapidly growing complexity of products presents a significant challenge for manufacturers that are competing to bring the latest, most sophisticated, and connected products to market. This level of complexity has also introduced the need to take a systems level approach. Collaborating across disciplines—mechanical, electronic, and software—creating systems of systems. This eBook explores five concepts that will help engineering leads develop system-centric design processes, align teams, master product complexity, and drive innovation.
Product lifecycle management (PLM) is a core requirement for modern product development, particularly as organizations face increasing product complexity and shorter product lifecycles.
PLM is also the key integration point for advanced product development technology such as application lifecycle management (ALM) and Internet of Things (IoT) data, and enables traceability required for Digital Thread and Digital Twin.
An organization’s ability to innovate and pursue Digital Transformation is therefore significantly dictated by the level of PLM functionality and maturity across the organization.