Furnace

Production Profile

Furnace supports 12 recipes and runs at 20W. Average output across listed recipes is 39.8 items per minute, with peak throughput reaching 90 items per minute.

Common outputs include Calcium Powder, Ceramics, Inductor, and Electronics. Typical inputs include Calcium Block, Calcite Sheets, Wolfram Powder, and Tube. Use these recipe cards to map bottlenecks, size supporting machines, and stabilize power demand before scaling.

Furnace often becomes a throughput anchor once your factory starts feeding multiple downstream chains. Before cloning more instances, confirm that upstream extraction, transport, and intermediate crafting can sustain the target load continuously. This prevents hidden bottlenecks where one saturated input line silently limits every dependent product.

Scaling Checklist

• Map the highest-demand outputs first, then reserve power headroom so Furnace can absorb demand spikes without brownouts.
• Validate input feed rates for Calcium Block, Calcite Sheets, Wolfram Powder, and Tube and keep at least one buffer tier between gathering and processing nodes.
• Track byproducts and side outputs early; redirecting excess flow usually improves both stability and material efficiency.
• After each expansion step, compare expected versus actual output rates and rebalance transport before scaling another stage.

Capacity Planning Notes

Capacity planning for Furnace should be done in layers. First, stabilize raw input flow and transportation so every crafting cycle can start on time. Second, verify that each added machine produces usable output instead of saturating intermediate storage. Finally, watch how added demand changes neighboring lines, because many bottlenecks only appear after one stage is optimized.

If you are optimizing late-game chains, treat power as a shared system rather than a per-building stat. Spikes from synchronized recipes can make otherwise safe plans unstable. Incremental scaling plus periodic throughput checks usually outperforms large one-time expansions and helps keep failure impact small when recipe priorities change.