Cost Engineering Technology

From cost data
to cost decisions.

Build transparent Should Cost models, challenge supplier pricing, simulate cost drivers, define target costs and track optimization opportunities — in one Cost Engineering platform.

Built for Cost Engineers.
Understandable for decision makers.

Developed by Carbon & Cost Consulting GmbH

Supplier Analysis · Cost Build-Up WaterfallCostixx interface
Supplier Analysis · Cost Build-Up Waterfall
Quote Gap ResultIllustrative Costixx example
  1. Supplier Quote

    €197.82

  2. Should Cost

    €152.80

  3. Gap

    −22.8%

  4. Annual Potential

    €450k

Cost Build-UpShould Cost DDP €152.80
Material46%
Process24%
Overhead12%
Tooling7%
Logistics6%
Margin5%

The Costixx Workflow

One platform.
Five steps from data to action.

Build the cost from the ground up.

Bottom-up cost models built from the actual product and its manufacturing process — the modeling workspace of the platform.

Product+Material+Process+Machine+Labor+Tooling+Logistics→Total Product Cost
Product Cost CalculatorCostixx interface
Product Cost Calculator

Estimate Levels

The right estimate
for every stage.

Costixx supports five levels of cost estimation — from early concept assumptions to detailed, validated Should Cost models. The level of detail increases as product, process and manufacturing data become available.

Concept→Engineering→Sourcing→Validation

Indicative estimate ranges only. Actual accuracy depends on data quality, product maturity, process definition and validation level.

L1 · Detailed Should Cost ModelIndicative estimate range ±5%

Project stage

Supplier Validation / Negotiation

Available data

Detailed / validated

Modeling approach

Bottom-up manufacturing Should Cost

Typical use

Supplier negotiation, target setting and cost validation

Typical basis

Full BOMValidated process routeMachine assumptionsCycle timesLaborMaterial consumptionToolingInvestmentOverheadLogisticsCommercial assumptions

Cost intelligence introduced

Detailed and validated project / supplier data

Data maturity

LowHigh

Model detail

LowHigh

As the data matures, the model evolves.

L5

Reference & regional data

L4

Product parameters

L3

BOM & component data

L2

Process, machine & labor data

L1

Validated client & supplier data

More validated dataGreater cost transparency

One platform.
Different levels of cost certainty.

Start with the data available today and progressively refine the cost model as product and manufacturing information matures.

Start with what you know. Refine as you know more — from early estimate to detailed Should Cost.

Client-specific cost intelligence

Where does that cost data come from?

Build on actual cost data.

Costixx structures the cost data behind the model around the actual client, project, supplier and manufacturing environment. Material prices, component costs, machine economics, labor rates, regional parameters and currencies can be prepared and maintained specifically for the Cost Engineering task.

Reference data may support the analysis, but the Cost Engineering model can progressively be replaced, refined and validated with actual project and client-specific data.

Actual client & project data.
Not generic database assumptions.

  • Materials
  • Components
  • Machines
  • Labor
  • Countries
  • Currencies

Cost Intelligence Layer

Structured, project-specific data

Cost Model

Product & process build-up

Cost Decision

Negotiation, design, sourcing

Cost intelligence domains

Materials DB

Material Cost Intelligence

Cost, carbon and traceability in one data record.

  • Traceable

    Every cost assumption retains its source and reference.

  • Validated

    Separate data origin from its validation status.

  • Context-specific

    Define whether data applies globally, by country, client, supplier or project.

Categories

MetalsPlasticsCoatingsFastenersSemi-finished buy partsPackaging

Every material price carries its data source, validation status, data scope, source reference and validity date — so the model shows where the price comes from and how far it is validated.

Materials DBCostixx interface
Materials DB

Traceability

Source data→Cost assumption→Calculation→Product cost
Materials DB→Material→Price / unit→Data source & validation→Data scope→Gross material requirement→Material cost→Product cost

From data to decision

  • Material price
  • Component price
  • Machine economics
  • Labor rate
  • Regional data
  • Currency

Product & process cost model

Should cost

Should cost→Supplier analysis→Target cost→Opportunity

The databases are working inputs of the calculation — every cost result stays connected to the assumptions behind it.

From reference data to validated cost intelligence.

Reference / initial data

Used when project-specific information is not yet available.

  • Regional assumptions
  • Reference prices
  • Initial machine assumptions
  • Initial labor assumptions

Refine & validate

Data is progressively replaced as the project matures.

  • Project data
  • Supplier information
  • Current market data
  • Manufacturing information

Client-specific cost intelligence

The Cost Engineering model runs on validated inputs.

  • Actual project assumptions
  • Actual supplier conditions
  • Actual manufacturing environment
  • Validated Cost Engineering inputs
L5→L4→L3→L2→L1As data maturity increases, generic or reference assumptions can progressively be replaced with more specific and validated data.

The cost model is only as good as the data behind it.

Costixx creates traceability from the underlying cost assumption to the resulting product cost.

Traceable

Know which data drives the calculation.

Project-specific

Build the model around the relevant product, supplier and manufacturing environment.

Updatable

Maintain cost assumptions as market, project and manufacturing conditions change.

Supplier intelligence

What is behind the supplier price?

Turn supplier pricing into a fact base.

Costixx rebuilds supplier pricing from the manufacturing side — material, process, machine, labor, tooling, overhead, logistics and commercial assumptions.

The result is not simply a price comparison. It is a transparent explanation of where the supplier price differs from the calculated Should Cost.

Don't just negotiate the price.
Understand what creates it.

Cost engineering journey

  1. 01

    Supplier quote

    Commercial starting point

  2. 02

    Should cost

    Manufacturing-based model

  3. 03

    Cost gap

    Quantified difference

  4. 04

    Cost drivers

    Explain the difference

  5. 05

    Negotiation fact base

    Actionable commercial position

Illustrative Costixx example

Single part · annual volume

Supplier quote

€197.82

/ pc

Should cost

€152.80

/ pc

Gap

−€45.02

/ pc · −22.8%

Annual potential

€450k

per year

Illustrative Costixx example. Results depend on the product, supplier, manufacturing process, data quality and project conditions.

Supplier analysis

Supplier gap analysis

Quantify the commercial gap.

Convert the difference between supplier pricing and calculated Should Cost into a quantified commercial position.

Quantified output

  • Supplier quoteCommercial price submitted
  • Should costBottom-up calculated cost
  • Absolute gapEUR per piece
  • Percentage gapShare of supplier price
  • Annual impactGap × annual volume
Supplier gap analysisCostixx interface
Supplier gap analysis

From cost gap to negotiation fact base.

Price negotiation

  • Supplier price
  • Requested target

Two numbers, no explanation of what creates the difference.

Fact-based negotiation

  • Material assumption
  • Manufacturing process
  • Cycle time
  • Machine rate
  • Labor
  • Tooling
  • Overhead
  • Logistics
  • Commercial assumptions
Quote→Cost driver→Evidence→Negotiation position

Negotiate the cost drivers,
not just the final price.

Traceability

Every commercial gap can be traced back to the underlying cost assumption.

Material gapMaterials DBPrice / unitData sourceValidationSupplier / project scopeCalculated material cost

Costixx supplier intelligence delivers

  • Supplier cost breakdown
  • Quote analysis
  • Cost driver validation
  • Machine rate analysis
  • Labor rate analysis
  • Material benchmarking
  • Tooling validation
  • Investment validation
  • Negotiation preparation

A cost gap tells you how much. Cost Engineering tells you why.

Once the drivers behind the gap are understood, Costixx can simulate what happens when they change.

Next: Sensitivity & scenarios →

Cost driver intelligence

Know what moves the cost. Simulate what happens next.

Costixx quantifies how individual cost drivers influence product cost and allows multiple assumptions to be combined into scenarios.

Sensitivity

Where is the economic leverage?

Scenarios

What happens when several assumptions change together?

Simulation mode

DDP cost sensitivity

Where is the economic leverage?

Sensitivity Analysis changes one cost assumption at a time while keeping the baseline model unchanged. This quantifies how strongly each driver influences product cost and annual commercial exposure.

Analytical logic

  1. 01Baseline should cost
  2. 02Change one driver
  3. 03Recalculate DDP
  4. 04Measure cost impact
  5. 05Rank cost drivers

Sensitivity range

±5%±10%±15%±20%

The selected range determines the simulated change applied to the cost driver.

DDP cost sensitivityCostixx interface
DDP cost sensitivity

Simulated drivers

Material priceMaterial weightParts per cycleCycle timeLabor rateHeads / cavitiesManufacturing overheadSG&AProfit marginFreight & logisticsCustoms / dutiesScrap rateTooling allocation

The actual ranking is not fixed — it depends on the current cost model.

Sensitivity output

  • Current
  • Low DDP
  • High DDP
  • Impact EUR / pc
  • Impact %
  • Annual impact

From technical assumption
to commercial impact.

Cycle timeProduct cost impactAnnual impact

Reading the driver chart

Green side

Modeled cost reduction direction — a lower calculated cost, not automatically a realized saving.

Baseline

The current Should Cost model before any assumption is changed.

Red side

Modeled cost increase direction when the selected driver moves the other way.

Sensitivity vs. scenarios

Sensitivity

One driver at a time

Question
Where is the greatest economic leverage?
Purpose
Identify and quantify how strongly individual cost drivers influence product cost.
Output
Impact / pcImpact %Annual impact

A high sensitivity means high economic leverage. It does not automatically mean the parameter can realistically be changed, or that the modeled impact can be realized as a saving.

Sensitivity → Identify economic leverage

Scenarios

Multiple drivers together

Question
What happens when several assumptions change together?
Purpose
Evaluate alternative manufacturing and commercial conditions.
Output
Scenario DDPCost structure deltaAnnual impact

A scenario impact is a modeled economic effect of changing multiple assumptions — not a realized saving.

Scenarios → Test the combinations

Questions Costixx can evaluate

  • 01What happens if cycle time improves?
  • 02What happens if material price changes?
  • 03What happens if production moves to another cost environment?
  • 04What happens if parts per cycle increase?
  • 05What happens if labor content changes?
  • 06What happens if material weight is reduced?
  • 07What happens when several of these changes occur together?

Assumptions stay traceable

Scenario inputs are not isolated percentages. Each assumption connects back to the Cost Intelligence layer.

Labor rateLabor DBCountrySkill levelRate
Material priceMaterials DBData sourceValidationScope
Machine rateMachine DBInvestmentEnergyUtilizationHourly rate
Cost driverSensitivityScenarioTarget cost

Identify economic leverage. Test alternative assumptions. Define what must change.

Knowing what could change is not the same as knowing what must change.

Sensitivity identifies where the greatest economic leverage exists. Scenarios test what happens when multiple assumptions change together. Target Cost defines what must change to achieve the required cost outcome.

Next: Target cost & optimization →

01

Where is the leverage?

Sensitivity

02

What if we change it?

Scenario

03

What must change?

Target cost

04

How do we implement and track it?

Opportunities

Target cost engineering

Define the target. Quantify what must change.

What must change
to reach the target?

A target cost defines the required economic outcome. Costixx translates the gap between the current Should Cost and the target into quantified changes across selected engineering and commercial cost levers.

From cost target
to quantified requirements.

01

Current DDP

€5.55 / pc

02

Target DDP

€4.58 / pc

03

Required reduction

€0.97 / pc

04

Required reduction

17.5 %

05

Annual impact required

≈ €243k

Illustrative Costixx example

Model-specific example — not typical customer results

A target price is a number. A target cost solution explains what has to change.

Costixx does not subtract a percentage from the current cost. It translates the required cost reduction into explicit cost-driver changes.

Levers & constraints

Optimize only what can realistically change.

Not every sensitive cost driver is automatically an optimization lever. Costixx allows the user to define which drivers may contribute to the target-cost solution and to constrain the maximum permitted change for each selected driver.

High sensitivity≠automatic optimization lever

Economic leverage+feasibility+constraint=target cost lever

Lever selection — enabled / disabled and maximum permitted change

Illustrative constraint settings

Material priceMax 10 %
Material weightMax 6 %
Scrap rateMax 30 %
Cycle timeMax 20 %
Labor rateMax 8 %
Heads / cavitiesConstrained
Parts per cycleConstrained
Tooling allocationMax 15 %
Manufacturing overheadMax 5 %
SG&AMax 5 %
Profit marginMax 5 %
Freight & logisticsMax 12 %
Customs / dutiesDisabled

A maximum change is a user-defined optimization constraint. It does not imply that the change is automatically achievable.

Target cost solution

Translate the target into quantified levers.

Strategy: balanced

The target cost solution distributes the required cost reduction across the selected levers according to the chosen optimization strategy, within the defined constraints.

Target costAuthentic Costixx interface
Target cost

Methodology

The interface above provides the numerical evidence: for each selected lever it shows the current value, the target value, the required change and its economic effect on the total cost. Costixx does not distribute the reduction arbitrarily — it respects the constraints defined per lever and the selected optimization strategy.

Engineering interpretation

A quantified required change is a specification for engineering work, not a result. Each lever must be reviewed against process capability, product design, manufacturing conditions and commercial reality before it can be accepted.

Values are model-specific and illustrative. They do not represent typical results.

Target solution logic

  1. 01Target cost
  2. 02Required cost reduction
  3. 03Select feasible levers
  4. 04Define constraints
  5. 05Quantify required changes
  6. 06Target cost solution
Target cost solutionOpportunities

A calculated target cost solution is not yet an implementation plan.

From sensitivity to target cost

Sensitivity

Where is the economic leverage?

Target cost

Which of those drivers should contribute to the required cost outcome?

Sensitivity identifies economic leverage. Target Cost converts selected and constrained levers into required changes — the methodological bridge between analysis and optimization.

Scenario vs. target cost

Scenario

What if these change?

Input
Assumption changes
Output
Resulting cost

Target cost

What must change?

Input
Required cost
Output
Required lever changes

A required change is not yet an opportunity.

Before a modeled target lever becomes an optimization opportunity, its technical and commercial feasibility must be evaluated.

Target leverFeasibilityOpportunityImplementationRealized impact

From target lever to engineering question

Can process sequence, line balance, automation, work content or equipment utilization be improved?

These are engineering questions. A modeled change is not automatically feasible.

The model tells us what has to change. Engineering determines how it can change.

From cost model to physical validation on the shop floor

Process observationCycle-time validationLine balancingMaterial usageScrap & yieldMachine utilizationLabor contentToolingProcess flowDesign / VA-VE

Knowing what must change does not yet make it happen.

Target Cost translates the required cost outcome into quantified engineering and commercial levers. The next step is to turn feasible levers into structured optimization opportunities and track them through implementation.

Next: Opportunities & implementation →

Sensitivity

Where is the economic leverage?

Scenario

What if we change it?

Target cost

What must change?

Opportunities

How do we implement and track it?

Opportunity management

Turn cost intelligence into measurable action.

How do we implement
and track it?

Costixx converts identified cost levers and engineering findings into structured opportunities with quantified economic potential, feasibility, effort and implementation status.

Finding the opportunity is not the result.
Realizing it is.

Where opportunities come from

Opportunities can start anywhere in the Cost Engineering process.

What matters is that every opportunity becomes quantified, evaluated and traceable.

  1. 01Supplier analysisCommercial / cost gap findings
  2. 02SensitivityEconomic leverage
  3. 03Target costRequired target levers
  4. 04VA / VEProduct and design improvements
  5. 05On-site validationActual process findings
  6. 06Shop-floor analysisCycle time, line balance, utilization, scrap, material and process opportunities

→ Opportunity pipeline

FindingOpportunityQuantified potential
Cycle-time improvementMaterial weight reductionMaterial price / sourcing improvementScrap reductionLine balancingMachine utilizationTooling optimizationPackaging optimizationFreight / logistics optimizationVA / VE design changeAutomationSupplier commercial adjustment

These are opportunity types, not automatically achievable savings. Each requires validation before its economic effect can be treated as realizable.

Opportunity register

Every opportunity quantified, evaluated and tracked.

Illustrative / anonymised project data

OpportunitiesAuthentic Costixx interface
Opportunities
OpportunityCategoryCurrentTargetSaving / pcAnnual potentialFeasibilityEffortStatus

From lever to opportunity

  1. 01Economic leverage
  2. 02Target / optimization lever
  3. 03Engineering or commercial action
  4. 04Opportunity
  5. 05Quantified potential

A lever describes what influences the cost. An opportunity describes what we can actually do about it.

Action

What specifically should change?

Baseline

What is the current condition?

Target

What should the future condition be?

Economic potential

What is the modeled impact per part and annually?

Feasibility

Can it technically / commercially be achieved?

Effort

What is required to implement it?

Status

Where is it in the implementation process?

Potential is not realized impact.

Economic potential becomes realized impact only when the underlying action is validated, implemented and the result is confirmed.

Identified potentialValidated potentialImplementationRealized impact

Feasibility × economic impact

Prioritize what matters and what can actually be done.

Economic impact alone does not determine priority. Costixx combines economic potential, feasibility, effort and status to support implementation decisions.

High impactHigh feasibility→ Priority
High impactLow feasibility→ Engineering investigation
Low impactHigh feasibility→ Quick / tactical opportunity
Low impactLow feasibility→ Lower priority
Economic potentialFeasibilityEffortStatus

Implementation journey

IdentifiedUnder reviewValidated / agreedImplementationImplementedRealized / verified

The journey describes the conceptual progression of an opportunity. Status labels in the application follow the terminology of the Costixx opportunity register.

Keep the opportunity connected to the cost model.

An opportunity should not become an isolated action item. It remains connected to the underlying cost driver, baseline, target and modeled economic impact.

  1. 01Cost model
  2. 02Cost driver
  3. 03Opportunity
  4. 04Target
  5. 05Implementation
  6. 06Result

Result → updated cost model

Closed-loop cost engineering

A validated condition becomes part of the updated cost baseline.

Once an opportunity is implemented and validated, the confirmed manufacturing or commercial condition can become part of the updated cost model.

ModelAnalyzeOptimizeImplementValidateUpdate model

01

Modeled impact

Calculated effect of changing an assumption.

02

Opportunity potential

Quantified effect associated with a feasible action.

03

Implemented action

Approved change executed in the product, process or commercial setup.

04

Realized impact

Confirmed result after implementation.

Engineering opportunity

Cycle timeMaterial usageScrapLine balanceAutomationToolingProduct designVA / VE

Commercial opportunity

Material priceSupplier quotationMachine rateLabor rate assumptionsLogisticsCommercial assumptionsSourcing
Implementation / agreementRealized impact

Not every opportunity is a physical process change. Costixx supports engineering and procurement decisions in the same structure.

Some opportunities are found in the model. Others are found on the shop floor.

Physical observation and on-site validation can reveal opportunities that are not visible from quotation or database analysis alone.

Cycle-time observationLine balancingOperator work contentMachine utilizationMaterial consumptionScrap and yieldProcess flowToolingAutomation potentialDesign / VA-VE

Data shows where to look.
The shop floor shows what is actually possible.

Illustrative opportunity

From one opportunity to an optimization portfolio.

Opportunities can be structured and reviewed across the dimensions of the project setup.

PartsProductsSuppliersProjectsCost categoriesManufacturing locations

Management view — progression

Identified potential

Validated potential

In implementation

Realized impact

Indicative progression only. The purpose is to show how economic potential narrows toward verified results — not to state performance figures.

Traceability

From source data to realized impact.

ProjectPart / productCost driverBaselineTargetSource dataValidationEconomic impact

The Costixx journey

01

Build

Build the cost.

02

Intelligence

Build on traceable data.

03

Analyze

Understand the drivers.

04

Optimize

Define what must change.

05

Track

Turn opportunities into results.

Closed-loop cost engineering

From Should Cost
to realized impact.

Costixx connects cost modeling, supplier intelligence, cost-driver analysis, target cost engineering and opportunity tracking in one traceable Cost Engineering workflow.

BuildAnalyzeOptimizeImplementVerify

Cost engineering doesn’t end
with a should cost.
It ends with
a verified result.

Costixx does not just calculate cost. It connects:

Cost dataCost transparencyEconomic leverageTarget costOpportunityImplementationVerified impact

Ready to turn cost transparency into measurable results?

See how Costixx can support your Should Cost, supplier analysis, target cost and cost optimization workflow.

Developed by Carbon & Cost Consulting GmbH — built from hands-on Cost Engineering and manufacturing practice.