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.
As the complexity of products continues to grow exponentially across every industry, managing it can present a significant challenge. New “systems of systems”—combining electronic and software content with mechanical designs—requires a new approach featuring improved communication between teams and the breaking down of data silos. Download this eBook to learn about five key concepts that will help your organization develop system-centric design processes, align your teams, master 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.