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Linear cutting optimization

We provide two implementations for linear cutting optimization:

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

The optimization finds an optimal way to cut the required pieces from the raw materials by minimizing waste (scrap) and reducing the number of used raw materials. Having so many possibilities to nest the required pieces into the raw materials, the optimized solution is given by those cutting patterns (layouts) that decrease the cost and waste of used materials.

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