Optimization & Cost (VAVE)

Value Engineering &
Cost Optimization

Structured, data-led value analysis that separates the cost that adds value from the cost that doesn’t — and takes the latter out.

Value engineering is most powerful when it’s driven by data, not workshops alone. We quantify the cost and value of every function and feature, so cost-out decisions protect what customers care about and remove what they don’t.

The problem

When cost-cutting destroys value

Blunt cost cuts erode the things customers actually pay for.

01

Across-the-board cuts

Flat cost targets hit value-adding features as hard as waste.

02

No function-cost view

No one can see what each function actually costs versus the value it adds.

03

Workshop-only VAVE

Value analysis relies on opinion, not quantified evidence.

What we do

Value analysis, quantified

Where data sharpens value engineering.

Function-Cost Analysis

The cost of every function mapped against the value it delivers.

Value/Cost Trade-offs

Quantified trade-offs so cost-out protects customer value.

Cost-Out Roadmap

A prioritised, evidenced plan of value-engineering moves.

What you get

What you receive

Evidence-based value engineering.

Function-cost-value map

What each function costs and the value it adds.

Prioritised opportunities

Cost-out moves ranked by value protected and saving.

Quantified business case

A defensible saving estimate per opportunity.

Book a 60-minute working session

Bring a real decision or dataset — we’ll show you how KEPLER would approach it, with no obligation.

Book a 60-minute session
Where we start

A focused, low-risk first step

We start with a short diagnostic — the decision to improve, the data behind it, and a first slice that proves value fast. See how we engage →

Sample outputs

Typical cost & VAVE artifacts you’ll receive

BOM cost modelShould-cost workbookSupplier cost benchmarkTeardown cost bridgeMaterial substitution shortlistVAVE opportunity tracker
Engagement model

Engage at the level that fits

From a quick diagnostic to a fully managed service — start small and scale as value is proven. How we engage →

How we work

How value is engineered

From function cost to realised saving.

Decompose

Product and process are broken into functions and costs.

Value

Each function’s value to the customer is assessed.

Identify

Cost that doesn’t add value is surfaced.

Quantify

Each move is sized into a hard number.

Realize

Savings are tracked into the P&L.

Outcome

Margin out, value intact

Cost removed where it hides, value kept where it counts.

  • Function cost vs value, quantified
  • Cost-out that protects value
  • A prioritised, evidenced roadmap
  • Savings tracked to the P&L
Function costMapped
ValueProtected
OpportunitiesPrioritised
SavingsQuantified
FAQ

Common questions

Is this just a workshop?
No — we bring quantified function-cost-value data to the table, so decisions rest on evidence, not only opinion.
Will it hurt the product?
The whole point is the opposite — we protect value-adding functions and remove only cost that customers don’t pay for.
Use cases

Representative use cases

Common problems in this area, how KEPLER solves them, and the likely outcome.

Industrial equipment · Value engineering

Cost has crept into a mature product over successive revisions

~10%cost of goods addressable
The problem

A product goes through revision after revision, each one adding a little cost and none taking any out. Eventually the margin is gone, and no one can say which functions the cost actually buys - so every cost-down idea looks like a reliability risk and stalls.

How KEPLER solves it
  • Map every component to the function it delivers, then put a cost against each function
  • Run value-engineering sessions against that map instead of against opinion
  • Score each idea on margin impact versus reliability risk and sequence the safe wins first
Probable outcome

A ranked value-engineering backlog that can be worked in order, with reliability-neutral ideas separated from the ones that need testing. Typically a tenth of product cost sits in the addressable tier.

Automotive · Cost optimization

Variant sprawl is hiding cost no one can see

10–15%variant cost removable
The problem

Years of customer-specific tweaks leave hundreds of variants of one product family. The cost of that proliferation is real, but it's buried across separate BOMs, so two 'similar' parts can never actually be compared.

How KEPLER solves it
  • Build a single variant-to-cost view so near-identical parts line up side by side
  • Flag variants carrying features the platform doesn't need
  • Model the saving from carry-over and standardisation before anything is committed
Probable outcome

A shortlist of over-specified variants and standardisation candidates, each with cost-to-serve attached, so sourcing can act on the biggest first.

Consumer durables · New product

A product will miss its margin target at launch

3–5 ptslaunch margin recovered
The problem

Cost modelling shows a new product landing below target margin, and the gap surfaces late - weeks from tooling freeze. After freeze the cost is locked, so the window to change anything cheaply is closing.

How KEPLER solves it
  • Run a short pre-launch cost sprint combining teardown findings with value engineering
  • Focus only on changes that can land before tooling freeze
  • Hand engineering a costed change list, not a report
Probable outcome

Enough reliability-neutral changes identified to close most of the margin gap while the design is still cheap to move.

Engineer cost out, not value

Send us a product line and we’ll show you where value engineering pays off.

Talk to our VAVE team