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Reducing Risk in the Quotation Phase with Simulation

Reducing Risk in the Quotation Phase with Simulation

How mechanical engineers use the digital twin to present concepts convincingly and reliably determine cycle times in the quotation phase.

The status quo — and how we improve it

Many mechanical engineering firms still present concepts with pencil sketches and estimate cycle times in Excel. That has clear drawbacks:

  • Function is hard to convey without visible motion.
  • Cycle times rely on rules of thumb with large uncertainties.
  • Design flaws such as collisions cannot be spotted in a sketch.

digifai has been developing solutions for safe and efficient machine development for over 20 years. The twin software replaces sketches with digital twins — with minimal effort, it delivers insight into function, throughput and bottlenecks.

The eye-opener: why the effort pays off

twin uses physics-based 3D simulation: workpiece motion emerges on its own instead of being laboriously defined. Configuration effort stays minimal, while behaviour stays close to reality.

Project example: A customer commissioned a cycle-time estimate for a robotic solution. Within a few hours, a working model was built and used to test various parameters. The result: the original concept was not feasible. The solution lay in an adjusted robot arrangement and a switch to a dual-gripper system — the optimised concept worked.

a few hours — to reach a working cycle-time model — and with it a robust, validated basis for the quotation.

The outcome: significantly reduced quotation risk through realistic validation, minimal effort, a more professional customer presentation — and the order was won.

What does this mean for you?

The digital twin takes the uncertainty out of the quotation: instead of a risky estimate, you present validated figures and win the customer over with a visible, working system. Find out more about how the digital twin performs in sales.

Risk in the quotation phase — frequently asked questions

How can cycle times be determined reliably in a quotation?
Instead of estimating cycle times in Excel, twin is used to build a physics-based simulation model of the solution. Parameters can then be tested against it to determine the realistically achievable cycle time — often within a few hours. This means the quotation is based on validated data rather than rules of thumb.
How does a digital twin reduce quotation risk?
The digital twin reveals, already at the quotation stage, whether a concept is feasible at all — including collisions and bottlenecks that stay invisible in a sketch. This helps you avoid committing to deliverables that later prove unworkable, and lets you present the customer with a visible, working solution.
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Michael Eberle
Michael Eberle
Head of digifai