fabiofdsantos/2d-cutting-stock-problem
:scissors: Solving 2D cutting stock problems with genetic algorithms (AI)
This tool helps manufacturers and operations managers efficiently cut rectangular materials like wood, metal sheets, or fabric. You input the dimensions of your raw stock material and the sizes of the smaller pieces you need to cut from it. The tool then outputs an optimized cutting pattern that minimizes waste and tells you the most efficient layout. It's designed for anyone who deals with cutting materials to size and wants to reduce scrap.
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Use this if you need to cut specific smaller pieces from larger rectangular stock material and want to find the most efficient layout to minimize material waste.
Not ideal if your materials are not rectangular, or if you need to optimize for factors other than minimizing material waste, such as cutting time or machine constraints.
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63
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13
Language
Java
License
MIT
Category
Last pushed
Oct 30, 2022
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0
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