FIG — The same line run twice, one setting changed, placed side by sideLeft detour / right straight
Where a hundred-million-won decision rested on a quotation and experience, we put a result you have actually run. Compare scenarios side by side, and send only settings that passed.
Dashboards tell you what happened last month. The question you actually need answered is a different one — what happens if we change this.
| # | Capability | What it does |
|---|---|---|
| 01 | Hybrid simulation | Discrete-event and agent-based simulation combined and GPU-accelerated, running the whole line virtually. |
| 02 | Six what-if scenarios | Equipment failure, material delay, rush orders, bottlenecks and more, run in parallel and compared side by side. |
| 03 | Monte Carlo risk | Variability is quantified through repeated runs, giving worst case, best case and a probability range. |
| 04 | Virtual commissioning | Equipment introduction and policy changes are validated virtually, then applied to the real PLC with a rollback path. |
| 05 | Accuracy management | Simulation output is compared with real line data. Accuracy of 85% was confirmed at SpeeFox on a composite of time, resource and output, with ML correcting parameters automatically. |
| 06 | KPI comparison | Utilisation, lead time and output are compared across scenarios. |
Confirm the effect of expansion, replacement or reconfiguration in numbers first.