Draft:InFACTS Studio
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Comment: In accordance with the Wikimedia Foundation's Terms of Use, I disclose that I have been paid by my employer for my contributions to this article. Andersson1981 (talk) 11:56, 31 March 2025 (UTC)
| Developer(s) | Evoma AB |
|---|---|
| Stable release | inFACTS Studio 2025
|
| Operating system | Desktop edition: Windows 11, 10 |
| Available in | English |
| Type | Simulation & Optimization |
| License | Commercial |
| Website | https://evoma.se |
inFACTS Studio is a discrete-event simulation software combined with a multi-objective optimization platform, designed for analyzing and optimizing production systems. While primarily used in manufacturing and production environments, the software has also been applied in other areas such as supply chain management.[1] and healthcare [2] A simulation model allows organizations to evaluate processes and system scenarios before implementation, optimizing both existing operations and new setups. It can support decision-making in areas such as resource allocation, capacity planning, and infrastructure investments. By identifying inefficiencies, optimizing workflows, and balancing system loads, it helps to improve overall performance and reduce waste.
Features
[edit]inFACTS Studio provides tools for discrete-event simulation, allowing users to model and analyze systems, e.g. dynamic production environments. It includes multi-objective optimization, enabling the evaluation of multiple performance criteria simultaneously.
The software features a plugin architecture, supporting the integration of custom plugins, making it possible to develop specialized tools on top of the software, such as a scheduling tool. Simulation models are built in an 3D-environment in the latest release of the software.
History
[edit]inFACTS Studio, the next-generation release of the former FACTS Analyzer, is a discrete event simulation software developed as a research spin-off from the University of Skövde. Now under the ownership and continued development of Evoma AB, inFACTS Studio represents an evolution of the original platform. It was developed as an academic tool for discrete-event simulation and multi-objective optimization, with development beginning in 2006 and first independent solution launched in 2009 [3]. In 2014, the software transitioned to commercial development through the company Evoma AB.
Since its commercial release, inFACTS Studio has undergone continuous enhancements. Today, it is used for industrial[4] and academic applications [5], supporting companies and researchers in optimizing complex systems across various domains.[6][7][8]
| Year | Company | Product Name | Main Features Added |
|---|---|---|---|
| 2009 | Production and Automation Research Group at the University of Skövde | FACTS Analyzer | FACTS Analyzer (Academic) in 2D, Discrete Event Simulation, multi-objective optimization |
| 2010 | Production and Automation Research Group at the University of Skövde | FACTS Analyzer | Animation enabled |
| 2014 | Evoma AB | FACTS Analyzer | FACTS Analyzer (Commercial), Optimization: multiple-choice set input variables allowed. |
| 2015 | Evoma AB | FACTS Analyzer | Added automatic setup of SCORE (simulation-based constraint removal) optimization |
| 2018 | Evoma AB | FACTS Analyzer | Excel import tool added, Automatic model generation |
| 2025 | Evoma AB | inFACTS Studio | 3D support, 2D to 3D model conversion tool, plugin architecture, custom coding in C++, energy modelling and optimization, built-in AI-integrations |
See Also
[edit]List of discrete event simulation software
References
[edit]- ^ Ng, Hok Chuen; Bernedixen, Jacob; Andersson, Martin; Bandaru, Sunith; Lezama, Thomas. "Aircraft Assembly Ramp-Up Planning Using a Hybrid Simulation-Optimization Approach" (PDF). 2020 Winter Simulation Conference (WSC), Orlando, FL, USA, 2020: 3045–3056. doi:10.1109/WSC48552.2020.9383887. Retrieved 14 December 2020.
- ^ Frandsen, Eric; Engqvist, Fredrik (22 September 2020). "DECREASING WAITING TIME FOR SURGERY" (PDF). Bachelor Thesis at the University of Skövde.
- ^ Urenda Moris, Matias; Svensson, Jacob; Ng, Amos Hok Chuen. "Simplification and aggregation strategies applied for factory analysis in conceptual phase using simulation" (PDF). 2008 Winter Simulation Conference, Miami, FL, USA, 2008: 1913–1921. doi:10.1109/WSC.2008.4736283.
- ^ Hákonardóttir, Birta; Hedlund, Robert (22 September 2022). "Simulation of a pneumatic tube cutting station: A case study in developing a framework for discrete event simulation model maintainability". Master Thesis Project.
- ^ Mahmoodi, Ehsan; Fathi, Masood; Ng, Amos Hok Chuen; Dolgui, Alexandre (15 February 2025). "Predictive model-based multi-objective optimization with life-long meta-learning for designing unreliable production systems". Computers & Operations Research. In Press. doi:10.1016/j.cor.2025.107011.
- ^ Ruiz Zúñiga, Enrique (15 January 2021). "Facility layout design with simulation-based optimization : A holistic methodology including process, flow, and logistics requirements in manufacturing" (PDF). (PhD dissertation, University of Skövde, Sweden).
- ^ Blomberg, Joakim (26 August 2024). "Diskret händelsestyrd sav produktionshöjande åtgärder i ett justerverk En fallstudie på SCA Tunadal" (PDF). Independent Thesis Advanced level, Mid Sweden University.
- ^ Bjelke, Carl-Johan; Olsson, Philip (31 August 2020). "Planning of dairy production using discrete event simulation" (PDF). Bachelor of Science Thesis at Uppsala University.