warehouse_bin_packing_planner.py — Quantum-Inspired 2D Warehouse Bin Packing Planner
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| Natura: | Recurso digital |
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Zenodo
2025
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| _version_ | 1866901614422392832 |
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| author | B, Britt |
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| contents | <pre><code>warehouse_bin_packing_planner.py v1.0 — Quantum-Inspired 2D Warehouse Bin Packing Planner Features • True zero extra setup — single file (only numpy + matplotlib for visualization) • Hybrid quantum-inspired optimization: simulated annealing minimizes wasted space (system energy) • Order perturbation + probabilistic rotation flips simulate "tunneling" out of local optima • Lightweight built-in guillotine packer with Best Area Fit and automatic rotation • Reports utilization percentage and lists any unplaced/orphaned items • High-quality colored layout visualization with item IDs and rotation markers Dependencies • Requires numpy>=1.21 • Requires matplotlib>=3.5 — only for visualization (skip with --no-plot) Intended for warehouse planners, logistics engineers, and quantum computing researchers studying hybrid classical-quantum approaches to NP-hard packing problems. Real usage: python warehouse_bin_packing_planner.py -n 35 python warehouse_bin_packing_planner.py -n 50 --iterations 50000 python warehouse_bin_packing_planner.py --bin-width 200 --bin-height 120 -n 60 --no-plot Made by Britt (2025) — MIT License</code></pre> |
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| id | zenodo_https___doi_org_10_5281_zenodo_18029583 |
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| publishDate | 2025 |
| publisher | Zenodo |
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| spellingShingle | warehouse_bin_packing_planner.py — Quantum-Inspired 2D Warehouse Bin Packing Planner B, Britt 2d bin packing rectangle packing warehouse optimization shelf allocation simulated annealing quantum-inspired algorithm space utilization guillotine packing hybrid optimization logistics planning supply chain efficiency single-file script python cli tool <pre><code>warehouse_bin_packing_planner.py v1.0 — Quantum-Inspired 2D Warehouse Bin Packing Planner Features • True zero extra setup — single file (only numpy + matplotlib for visualization) • Hybrid quantum-inspired optimization: simulated annealing minimizes wasted space (system energy) • Order perturbation + probabilistic rotation flips simulate "tunneling" out of local optima • Lightweight built-in guillotine packer with Best Area Fit and automatic rotation • Reports utilization percentage and lists any unplaced/orphaned items • High-quality colored layout visualization with item IDs and rotation markers Dependencies • Requires numpy>=1.21 • Requires matplotlib>=3.5 — only for visualization (skip with --no-plot) Intended for warehouse planners, logistics engineers, and quantum computing researchers studying hybrid classical-quantum approaches to NP-hard packing problems. Real usage: python warehouse_bin_packing_planner.py -n 35 python warehouse_bin_packing_planner.py -n 50 --iterations 50000 python warehouse_bin_packing_planner.py --bin-width 200 --bin-height 120 -n 60 --no-plot Made by Britt (2025) — MIT License</code></pre> |
| title | warehouse_bin_packing_planner.py — Quantum-Inspired 2D Warehouse Bin Packing Planner |
| topic | 2d bin packing rectangle packing warehouse optimization shelf allocation simulated annealing quantum-inspired algorithm space utilization guillotine packing hybrid optimization logistics planning supply chain efficiency single-file script python cli tool |
| url | https://doi.org/10.5281/zenodo.18029583 |