Reframing my mod: This is a Factorio consulting & observability tool
Posted: Tue Jan 13, 2026 2:46 pm
After the discussion in my previous thread, I realized something important:
I didn’t explain clearly what kind of problem this mod is meant to solve.
This is not a gameplay mod.
It’s not about optimization planning, blueprints, or “playing Factorio better”.
This mod is a runtime observability and consulting tool.
The idea is to analyze an existing factory the way a logistics or production consultant would:
Based on feedback from the previous thread, several things were clarified and extended:
Several of those points directly influenced the current design.
Mod portal (documentation + current version): https://mods.factorio.com/mod/logistics_simulation
This tool is used in teaching, where students first have to observe, measure, cost, and argue with data before touching optimization.
If that perspective is useful to you, feedback is welcome.
If not, that’s fine too — this mod is intentionally not for everyone.
I didn’t explain clearly what kind of problem this mod is meant to solve.
This is not a gameplay mod.
It’s not about optimization planning, blueprints, or “playing Factorio better”.
This mod is a runtime observability and consulting tool.
The idea is to analyze an existing factory the way a logistics or production consultant would:
- distinguish fixed assets (machines, infrastructure)
- track working capital (items, fluids, WIP)
- assign costs
- record complete inventory snapshots every second
- export raw data for external analysis
Based on feedback from the previous thread, several things were clarified and extended:
- material tracking now includes tanks and drills
- persistent file export is implemented
- a dedicated teaching / analysis scenario is prepared
- the scope is explicitly framed as consulting and education, not gameplay
Several of those points directly influenced the current design.
Mod portal (documentation + current version): https://mods.factorio.com/mod/logistics_simulation
This tool is used in teaching, where students first have to observe, measure, cost, and argue with data before touching optimization.
If that perspective is useful to you, feedback is welcome.
If not, that’s fine too — this mod is intentionally not for everyone.