Unlock Efficiency at Scale with 3D Spark’s Advanced Part Screening

Analyse 10.000+ parts within your production portfolio or spare parts warehouse with different manufacturing technologies to reduce cost, lead time, and CO₂.
3D Spark Part Screening Project

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Why part screening matters?
  • Reduce cost at scale: By choosing the most efficient conventional or additive manufacturing technology for thousands and more parts.
  • Make-or-buy based on part cost: Our screening compares in-house and supplier cost for any number of parts.
  • Build a business case for your machine whether casting, machining or additive manufacturing: You can assess and justify your investments based on your data.
  • Unlock the potential of additive manufacturing: Whether to reduce costs, decrease lead time and increase spare parts availability by identifying suitable parts.
  • Sustainability goals: Identify eco-friendly manufacturing options and cut CO₂ footprints.
  • Lead generation: Seeking ways to enhance lead generation and attract more RFQs.
How can you know the cost reduction potential in your portfolio at scale?

Collection and preparation for algorithm analysis

  • As a basis for the part screening 3D CAD files, 2D drawings, and ERP data must be collected to be analysed by our AI based algorithm.
  • To ensure reliable results we calibrate our algorithm to your machine equipment and suppliers. Doing this, we achieve cost calculation with 10 % accuracy.
Decoration

Automated part screening

  • Analyze cost, lead time, and CO₂ for different technologies, in-house production and suppliers by our algorithm.
  • Technical manufacturing feasibility for technologies is evaluated automatically based on CAD files.
  • Selection of the best production solution based on technical feasibility and cost saving.

Storing & reporting of results

  • Parts are stored in digital warehouse so they can be accessed at any time for quick quoting and production.
  • All implemented parts are tracked in our dashboard which can be used for management reporting on KPI’s like cost reduction, lead time saving or CO₂ reduction.
AMACADEMY POWERED BY AMPOWERAMACADEMY POWERED BY AMPOWER

Expert consulting

Leveraging partners like AMPOWER.

  • Get recommendations on redesign, technical suitability, make-or-buy and sustainability goals by leading expert.
  • Access prototyping and testing services via partners.

Why choose 3D Spark for part screening?

High ROI

Automate manual processes, saving up to 90% of effort and achieving rapid cost and time savings.

Proactive portfolio analysis at scale

Analyze complete part portfolios upfront instead of tackling only one part at a time.

Additive manufacturing

We compare different Additive Manufacturing (AM) technologies for cost reduction and technical feasibility.

Considering your production and suppliers

We can consider your machine park and your existing suppliers in the analysis.

Sustainability goals

Identify eco-friendly manufacturing options to reduce CO₂ footprints.  

Industry compliance

Meet mandates like Deutsche Bahn’s requirement for at least 10% printable parts in next-gen ICE trains: For more information click here.
Ready to discover your savings?

Start your screening project today

Decorative
What is it?

Case studies

3D Spark's manufacturing data analysis platform

Get insights directly from our customers on how 3D Spark's platform benefited their businesses

Sales

Metshape X 3D Spark

Engineering

DB X 3D Spark

Procurement

Alstom X 3D Spark

Case study 1

Sales

Customer- Metshape

The Problem -

High time and effort required by sales team to analyze 3D CADs and 2D drawings from daily Requests for Quotations (RFQs) regarding technical feasibility and precise, instant costing.

Implementation:
Output
3 times less tools
needed for quoting
Output
90% reduced quoting
time
OUTPUT
100% Reduced effort
for answering
unsuitable RFQs

Case study 2

Engineering

Customer- DB

The Problem-

There were challenges in feasibility testing and (pre-)calculation processes, including the need for higher accuracy, improved stability, ease, and speed. They also experienced issues with reliance on fragile Excel sheets, which hindered their ability to provide timely and reliable offers.

Implementation:
Output
Achieved an accuracy
of +-5%

Case study 3

Procurement

Customer- Alstom

The Problem-

Alstom faced challenges including high parts purchase prices, time-consuming RFQ processes, limited adoption rate of AM, and the need for cost, lead time and CO2e savings, accounting.

Implementation:
Output
Parts purchase
prices reduced by
more than 20%
OUTPUT
86% less RFQs needed
Output
On-demand in-house
AM consultancy
for expertise growth
OUTPUT
Live AM roll-out
KPIs: global cost
& leadtime savings
...