Optimization Application Demo: Cutting Stock Problem with Multiple Master Rolls

The cutting stock problem is an example of combinatorial optimization problems that cannot be attacked with machine learning techniques due to the astronomical number of possibilities in the solution space. Also, open source optimization solvers do not scale to real size cutting stock problems.

The problem showed in this demo is to generate a master roll cutting plan that minimizes the cost of cutting and procuring master rolls consumed to satisfy all the demand of the final rolls.

To access the cutting stock demo you will need:

• Then login to the Gurobi website

Presented by: Pano Santos, Sr. Technical Content Manager at Gurobi.

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About Gurobi

Gurobi produces the world’s fastest and most powerful mathematical optimization solver – the Gurobi Optimizer – which is used by leading global companies across more than 40 different industries to rapidly solve their complex, real-world problems and make automated decisions that optimize their efficiency and profitability.

As the market leader in mathematical optimization software, we aim to deliver not only the best solver, but also the best support – so that companies can fully leverage the power of mathematical optimization (on its own or in combination with other AI techniques such as machine learning) to drive optimal business decisions and outcomes.

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