Solution · Scenario comparison

Test a change to your operations before you make it.

Process and capacity simulation shows you the impact of a change before you put it into practice. The model describes workstations, item flow, staff and operating rules. You run scenarios in your browser, in real time or accelerated, and compare utilisation, throughput and bottlenecks.

Typical complexity level Level 4 · Custom · from 12,900 EUR excl. VAT

When it makes sense

  • You are planning a new production or warehouse layout
  • You need to find out how many people and machines you really need
  • Today, changes are only tested during normal operations
  • You want to back investment decisions with data

How it works

  1. 01

    You enter workstations, times and staff.

    Workstations, times, staff and data from existing systems.

  2. 02

    We build a model of your operation.

    Objects, their rules, capacities and relationships.

  3. 03

    You run and compare scenarios.

    Discrete-event simulation and side-by-side scenario comparison.

  4. 04

    You see utilisation and bottlenecks.

    3D view, utilisation, throughput and bottlenecks.

Technology

A custom simulation engine written in TypeScript, 3D visualisation in the browser, and import from CSV and APIs. The simulation core does not need AI and gives repeatable results from the same inputs.

In practice · Comparing scenarios

Simulating capacities and processes

Test workstation layout, capacities and utilisation before you change real operations. Compare variants right in the browser.

In development

Risk-free changestested in simulation before going live

Starting point

Changes in layout and capacity were only verified during normal operation. The team needed to assess variants and their impact in advance.

Goal: Compare scenarios on process data and reveal weak spots before making a real change.

Solution

The simulation model describes workstations, item flow, staffing capacity and operating rules. Scenarios can run in real time or accelerated, and their results can be compared.

Results

  • The simulation core is complete; specific models and their validation are ongoing.
  • The team can compare variants of layout, staffing and buffers.
  • The goal is to back decisions with data before changing real operations.

The expected benefit is better planning and more stable operations. Results are being validated on specific models.

Technology

  • Custom simulation engine in TypeScript
  • 3D view in the browser
  • PostgreSQL and CSV / API import
  • Optional AI for entering scenarios

Security and data

  • Separate data for each customer
  • The simulation core needs no AI model
  • Repeatable results from the same inputs

Operations

  • Completed core and ongoing model validation
  • Can run in the EU or internally
  • Further development based on user needs

This case study is anonymised. We do not name the company or its industry.

Frequently asked questions

Is it a replacement for Plant Simulation or AnyLogic?

For many planning tasks, yes, in the browser and without expensive licences. For very complex models, we assess which option is more suitable.

How long does it take to build a model?

A simple operations model takes a matter of weeks. We set the exact scope after a one-day solution design.

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Pricing

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