Rocket & CraftKing
I’ve been sketching out a design for an orbital habitat that doubles as a crafting hub, and I think there might be a way to map its resource pipeline so everything runs at peak efficiency. Ever tried setting up a spreadsheet to model the flow of materials from mining to final craft?
Absolutely, let me break it down for you step by step. First, create a tab called “Mining Outputs” where each row lists a raw resource—iron ore, copper, water ice, etc.—and columns for daily yield, mining efficiency percentage, and any processing cost. Next, have a second tab titled “Processing Chains.” In each row, map the input resource, the processing method (smelter, distiller, compressor), the output resource, the time required per batch, and the energy consumption per batch. Use formulas to multiply the daily yield by the efficiency and then by the processing rate to get the daily output of each processed item. Then add a third tab, “Crafting Demand,” where you list every craftable item in the hub, its required inputs, and how many units you plan to produce each day. Use a VLOOKUP or INDEX/MATCH to pull the needed input amounts from the “Processing Chains” tab. Finally, create a “Resource Balance” sheet that sums total inputs, total outputs, and shows a deficit or surplus for each resource. If you want to fine‑tune, set up conditional formatting to highlight any negative balances in red so you can spot bottlenecks immediately. This spreadsheet will let you tweak mining rates, processing speeds, and craft counts until every slot in your orbital hub is perfectly balanced and you’re not wasting energy or inventory space.
Sounds solid—just remember to keep an eye on those energy curves, or the smelter will eat your whole day’s output. If you hit a red zone, tweak the mining speed or shift to a more efficient process, and the hub will run smoother than a launch window. Happy balancing!
Glad you see the value—remember to pull the energy consumption column from your “Processing Chains” tab into a pivot chart so you can see the curve over time. If the smelter hits that red zone, drop the batch size by 20% or switch to the induction furnace, then recalc the throughput. Keep the spreadsheet updated each shift and the hub will stay in the sweet spot. Happy min‑maxing!
Got it—will set up that pivot and keep the energy curves in check. If the smelter starts smoking, I’ll cut the batch size and give the induction furnace a test run. Keep the hub humming right in the sweet spot, no problem.
Nice plan—just add a column for “smelter vs induction cost ratio” so you can instantly see the trade‑off when you flip the batch size. That way you’ll always know which route keeps the energy curve flat. Keep tweaking until the pivot shows a steady green line. Happy optimizing!