Product cost calculation and product carbon footprint (PCF)

The hard part isn’t the math — it’s making design choices explicit and reusable

‍

Cost and carbon are increasingly managed together in industrial programs. Yet in many organizations, both are still treated as late checkpoints: cost is validated once designs are mature, and PCF is assembled when reporting or customer requests make it unavoidable.

‍

The problem is rarely a lack of tools or formulas. The real bottleneck is that design and production assumptions are often implicit, scattered, or inconsistent across teams. Without a clear and structured description of “how this product is made,” cost and PCF become fragile: hard to reproduce, hard to compare, and difficult to use for decision-making early in the lifecycle.

‍

This is where Dessia fits: not as an isolated carbon calculator, but as a structuring and contextualization layer for design information, enabling PCF evaluation to be performed consistently afterwards.

‍

Contextualize the assembly: make “how it’s made” explicit

‍

A product is not just geometry or a BOM. To connect design decisions to cost and environmental impact, each part and sub-assembly needs context that describes how it is intended to be produced.

‍

The goal is to explicitly capture, for each component:

• Manufacturing process (e.g., molding type, machining route, forming method)
• Material choice and viable alternatives
• Broader design and production parameters that drive environmental impact

‍

When this context is missing or inconsistent, PCF work becomes a series of ad hoc assumptions. Results can vary depending on who runs the evaluation, and comparisons between variants lose credibility.

‍

Formalize design logic → carbon assessment logic

‍

In this framing, you are not doing “a one-off carbon calculation.”

‍

You define a way of designing — rules, choices, assumptions, and modeling conventions — that allows a PCF score (or result) to be derived in a repeatable and consistent way.

‍

That distinction matters. A single number is not enough if you can’t reproduce it, explain what assumptions created it, or compare options on a stable basis. By formalizing the underlying logic, carbon assessment becomes part of the engineering method — not a separate reporting exercise.

‍

The same principle applies to cost: consistent evaluation depends on making the underlying assumptions explicit.

‍

Enable a PCF-oriented generative approach

‍

“Generative PCF” means the workflow goes beyond documenting an existing design. It enables teams to explore design variants while keeping the information structure compatible with PCF assessment.

‍

For example, teams can evaluate scenarios such as:

• Material A vs material B
• Process option 1 vs process option 2
• Different production assumptions or conventions
• Design variants that change architecture or interfaces

‍

The key is not just exploring alternatives — it’s doing so with a consistent structure, so evaluations remain comparable across variants and across programs.

‍

Dessia’s position in this scope: structure and contextualize, then feed evaluation

‍

Dessia acts as the layer that:

• Structures design information
• Contextualizes assemblies and components
• Makes assumptions, rules, and conventions explicit
• Produces an information model that can reliably feed PCF evaluation afterwards

‍

As a result, PCF is no longer an isolated task performed “on the side.” It becomes a logical outcome of a structured design approach.

‍

What this changes for teams: comparison, consistency, and decision support

‍

Once this layer is in place, teams gain a much more operational way to handle cost and carbon:

• Compare variants without rebuilding the analysis each time
• Align teams on shared assumptions and conventions
• Reduce inconsistencies across projects and programs
• Turn PCF into an engineering signal, not a late reporting constraint

‍

This also supports lifecycle decisions beyond initial design—reuse, variant updates, material/process changes, and obsolescence responses—because the logic remains explicit and reusable.

‍

Conclusion

‍

The future of cost and PCF management is not “more calculations.” It’s more structure.

‍

When “how it’s made” remains implicit, both cost and PCF arrive late, vary across teams, and are difficult to compare. By making production logic explicit at the part and sub-assembly level — processes, materials, rules, and assumptions — Dessia enables a workflow where PCF evaluation becomes repeatable, comparable, and compatible with design exploration.

‍