1d-cutting-stock
CommunityOptimize linear cuts, minimize waste.
Software Engineering#optimization#linear programming#manufacturing#waste reduction#operations research#cutting stock
Authorkishorkukreja
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill solves the 1D cutting stock problem by finding the most efficient way to cut standard-length materials into smaller pieces, significantly reducing material waste and costs.
Core Features & Use Cases
- Optimal Pattern Generation: Determines the best cutting patterns to minimize trim loss.
- Multiple Solution Methods: Offers fast heuristics (FFD, BFD) and an optimal column generation solver.
- Use Case: A manufacturing company needs to cut steel rods of 6 meters into various lengths (e.g., 2.3m, 1.5m, 1.2m). This Skill calculates the exact number of 6m rods to use and how to cut them to fulfill demand while minimizing scrap.
Quick Start
Use the 1d-cutting-stock skill to find the optimal way to cut 5 pieces of 2300mm, 8 pieces of 1500mm, and 12 pieces of 1200mm from 6000mm stock.
Dependency Matrix
Required Modules
pulpnumpymatplotlib
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: 1d-cutting-stock Download link: https://github.com/kishorkukreja/awesome-supply-chain/archive/main.zip#1d-cutting-stock Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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