Because manufacturing education needs a faster, safer bridge from theory to practice — powered by AI and simulation.
Quality, safety, human factors, and Lean are taught separately, while real factories expose all of them at once.
Students rarely experience the consequences of decisions; real plants are not sandboxes for trial and error.
Graduates often need months to connect theory with messy, socio-technical realities on the shop floor.
As European manufacturing evolves toward human-centric Industry 5.0, the workforce must master systemic thinking, data-informed decisions, and ethical use of AI. 4SiM accelerates this transition by letting learners explore realistic scenarios in a controlled, simulation-driven environment with AI guidance.
We connect quality, safety, human factors, and Lean so learners see cross-effects and trade-offs — not silos.
AI characters guide inquiry and reflection, while educators keep control through transparent prompts and rubrics.
Students test decisions in a risk-free environment before touching production lines, aligning with future digital twins.
Outputs are packaged for reuse: instructor notes, case assets, and assessment ideas that travel across courses and sites.
Define the problem with constraints and stakeholders; align with course outcomes.
Interview AI characters to reveal blind spots, assumptions, and missing data.
Experiment with parameters; observe KPIs, quality incidents, and human-factor effects.
Use ARCS/IMMS insights and rubrics to improve decisions and communication.
Package takeaways into checklists and playbooks usable in internships and onboarding.
Trace defects to root causes across suppliers, processes, and human decisions.
Simulate near-misses and evaluate controls, training, and procedural drift.
Explore bottlenecks, staffing patterns, and ergonomics without halting production.
Experiment with SMED-style improvements and measure stability vs. throughput.
Shorten time-to-productivity with guided scenarios mirroring actual constraints.
We design for people first — safe learning, inclusive access, and usable outputs.
Share methods and materials openly where possible to accelerate adoption.
Transparent prompts, data minimization, and educator oversight throughout.
We invite educators and companies to co-create and try out 4SiM cases. If you have a real-world challenge that fits our focus areas, let’s turn it into a safe, AI-supported learning experience.
