Draft:InFACTS Studio


inFACTS Studio
DeveloperEvoma AB
Stable release
inFACTS Studio version 1.6.2
Operating systemDesktop edition: Windows 11, 10
Available inEnglish
TypeSimulation & Optimization
LicenseCommercial
Websitehttps://evoma.se

inFACTS Studio is a discrete-event simulation software suite, combined with an optimization engine that allows for Multi-objective optimization (or MOO).[1]. It allows the user to analyze and optimize production systems. It can be used within the context of manufacturing and production environments, logistics, supply chain management and healthcare [2]

Using discrete-event simulation, and simulation-based optimization, allows organizations to make data-based, informed decisions[3]. A model and its factory physics serve as a digital twin to a real-life system. It can be used as a playground to test the feasibility of new ideas, or to optimize existing systems or planning strategies with regards to increasing performance, while for example decreasing cost and waste.[4]

Features [5]

Dynamical Analysis in 3D

The drag-and-drop 3D interface allows the user to set up a basis model that captures the factory physics[6] of their real-life system without complex coding.

Multi-Objective Optimization Suite

The integrated optimization suite includes a variety of (multi-objective) optimization algorithms, allowing the user to optimize their digital twin and hence, their real-world system, with respect to multiple objectives at the same time.

Plugin Architecture

The software supports the integration of custom plugins, making it possible to develop custom tools on top of the inFACTS Studio software.

AI

More recently, Evoma also embedded AI into inFACTS Studio.[7]

See Also

Discrete-event simulation

List of discrete event simulation software

Simulation-based optimization

Multi-objective optimization

Digital Twin

References

  1. ^ "Virtual Engineering and eXperience Tools".
  2. ^ "Use Cases with inFACTS Studio".
  3. ^ Mahmoodi, Ehsan; Fathi, Masood; Tavana, Madjid; Ghobakhloo, Morteza; Ng, Amos HC (2024). "Data-driven simulation-based decision support system for resource allocation in industry 4.0 and smart manufacturing". Journal of manufacturing systems. 72. Elsevier: 287–307.
  4. ^ Bataillie, Willem; Aghezzaf, El-Houssain; Cottyn, Johannes (2025). "Discrete Event Simulation: A Behavior Modeling Framework for Evaluating Production Schedules". Procedia Computer Science. 263: 301–308. doi:10.1016/j.procs.2025.07.037.
  5. ^ "inFACTS Studio software".
  6. ^ Factory Physics
  7. ^ "Evoma Launches New AI-Based Software". Science Park Skôvde.

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