Solving the Two-dimensional single stock size Cutting Stock Problem with SAT and MaxSAT

📰 ArXiv cs.AI

Solving the 2D-CSSP using SAT and MaxSAT to minimize waste in cutting stock problems

advanced Published 6 Apr 2026
Action Steps
  1. Formulate the 2D-CSSP as a SAT problem by expanding item types by demand
  2. Assign sheet-assignment variables to each item copy
  3. Implement non-overlap constraints to prevent item overlap
  4. Use MaxSAT to find the optimal solution that minimizes waste
Who Needs to Know This

This research benefits software engineers and AI researchers working on optimization problems, as well as manufacturers seeking to improve their cutting stock processes

Key Insight

💡 The 2D-CSSP can be effectively solved using SAT and MaxSAT techniques, reducing waste in manufacturing processes

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💡 Minimize waste in cutting stock problems with SAT and MaxSAT!
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