Plenty of manufacturers run a capable PLM that was designed for a different kind of product. It models parts and assemblies well, and it struggles the moment the product is a recipe: a formulation with ingredients, ratios, process conditions, and test data, where one substitution ripples through everything. If your team spends more time working around the system than in it, this is a look at what moving to a formulation-centric PLM actually involves.
Why does a PLM built for parts struggle with formulated products?
Because a formula is not an assembly. A mechanical PLM represents a product as components joined together, with a bill of materials of parts. A formulated product is defined by its recipe and process: ingredient ratios, cure conditions, and the results that prove it meets spec. Forcing that into a parts model means the formulation lives somewhere else, usually a spreadsheet, and the PLM holds a shell of the real product. The context that matters, why this ratio, which test backed it, what a change would affect, ends up outside the system.
What do you actually migrate when you move PLM systems?
The product record, not the mess around it. A migration brings across your current products, their formulations and specifications, documents, and the version history that shows how each got to where it is. It is a chance to leave behind the shadow spreadsheets and disconnected folders that grew up around the old tool, and to land on one record where the formulation, its specs, and its approvals sit together. The goal is a single source of truth on the way in, not a copy of the old structure.
Is a PLM migration a rip and replace, or a staged rollout?
It is a staged rollout, configured to how you already work. Stages, gates, approvals, and workflows are set up around your existing process rather than a fixed template, and you can adapt them in-house without consultants. Records migrate in phases, so a team is never asked to abandon its live work overnight. Cibimmob increased its product-development output after consolidating onto one connected platform, and Sun Chemical described the move as a new level of knowledge access across the organization.
What do you gain by connecting PLM to R&D and QA/QC?
You gain a product record that draws on the live data behind it. The formulation developed in R&D carries into the product record without rekeying, and specifications flow from the product record into QA/QC, so testing checks against the current formulation. An out-of-spec result ties back to the batch, lot, and revision that produced it. Instead of a PLM that stores a static description of the product, you get one model that stays in step with development and quality as the product changes.
Structure first, AI second: a clean, connected product record is the foundation. Once it exists, the analysis and automation on top of it are worth having.
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