Perspectives on PLM, connected engineering, manufacturing, AI, and the evolving digital product lifecycle.
56 articles
Engineering change traceability should preserve the path from the original engineering need to the assigned work, CAD modification, resulting iteration, and released product definition.
CIMdata’s commentary examines how Nora IPLM approaches PLM for small and midsize manufacturers through connected lifecycle data, cloud delivery, role-based workspaces, open integration, and AI.
A useful digital thread does more than connect product data. It gives engineering, manufacturing, quality and supplier teams different ways to explore the same connected product context.
AI in PLM offers significant opportunities, but data security and governance remain critical. Discover how Nora IPLM helps organizations stay in control of their engineering data with flexible AI controls, company-hosted LLMs, and support for private, on-premise, and offline AI environments.
PLM workflow management connects product data with the people, approvals, automation, and AI needed to move engineering and manufacturing work forward.
Engineering change management is more than routing an ECO. The harder work is understanding impact, coordinating implementation, and verifying that every required change is complete.
A digital thread is most useful when teams can actually follow it. See how connected product relationships support dependency analysis, change impact, and better engineering decisions.
Traditional PLM knows the item, revision, lifecycle state, and linked CAD file. Geometry-aware PLM goes further by making the physical engineering definition part of the product information model.
Spreadsheets are useful for early BOMs, but product complexity exposes their limits. Learn when a manufacturing team should move BOMs, CAD context, and change control into PLM.
