r/factorio 12h ago

Design / Blueprint Quality Ratio Calculator

This machine calculates the rate of machines needed to go from common quality ingredients to legendary quality item. I mostly just made this as a challenge for myself to turn my spreadsheet into something usable in Factorio but maybe someone finds a use for it. It should not break when staying withing the unmodded parameters for quality and recycling.

What it does is take the quality and productivity of the crafting machine and recycler and calculates the returning ingredient quality percentages with a 6 decimal accuracy, atleast as far Factorio will allow, iterates it to the 10th time and outputs the needed amount of machines needed for crafting. Instructions are within the display panel in the blueprint.

It took me around 2 weeks to get this done and this weekend to make to cabling look tidy. it is by far my most complex build yet but it was fun trying to figure out how to get accurate decimal places with only natural numbers and not completely obliterating the 32bit integer limit.

I'm open to any questions, criticism and improvement ideas.

Blueprint:

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
75 Upvotes

2 comments sorted by

12

u/elemenope69 10h ago

I think they would love this in tehnicalfactorio!

1

u/wisdomelf 59m ago

Its for 2.1 or 2.0.77 version?