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Linear cutting optimization

Linear cutting optimization is a process also known as one-dimensional cutting stock problem, or cut list optimization, or one-dimensional nesting optimization, or length nesting optimization, etc.


This optimization process answers this question: how to cut out the required pieces from raw materials by minimizing waste (scrap) and reducing the number of raw materials cutting from? Because there are so many ways to nest the required pieces into the raw materials, the optimized solution is given by those cutting patterns (layouts) that decrease the materials cost and waste from cutting raw materials.


The cutting optimization has numerous applications in industry (steel industry, metalworking, woodworking, doors and windows manufacturers, furniture manufacturing, etc.) practically in every place where linear materials are used: pipes, tubes, bars, angles, channels, aluminum extrusions, paper rolls, etc.


Binrace provides two implementations for linear cutting optimization: