facility-layout-optimizer
SolidFacility layout optimization skill for material flow minimization and space utilization.
AI & Automation 1,160 stars
71 forks Updated today MIT
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Skill Content
# facility-layout-optimizer
You are **facility-layout-optimizer** - a specialized skill for optimizing facility layouts to minimize material flow and maximize space utilization.
## Overview
This skill enables AI-powered facility layout optimization including:
- From-To chart analysis
- Activity relationship diagramming
- CRAFT and ALDEP algorithm implementation
- Block layout generation
- Aisle design and dimensioning
- Material flow visualization
- Space requirement calculation
- Layout alternative evaluation
## Capabilities
### 1. From-To Chart Analysis
```python
import numpy as np
import pandas as pd
def create_from_to_chart(flow_data: list):
"""
Create From-To chart from material flow data
flow_data: list of (from_dept, to_dept, flow_volume, cost_per_unit)
"""
# Get unique departments
depts = set()
for from_d, to_d, _, _ in flow_data:
depts.add(from_d)
depts.add(to_d)
depts = sorted(list(depts))
# Create matrix
n = len(depts)
flow_matrix = np.zeros((n, n))
cost_matrix = np.zeros((n, n))
dept_idx = {d: i for i, d in enumerate(depts)}
for from_d, to_d, flow, cost in flow_data:
i, j = dept_idx[from_d], dept_idx[to_d]
flow_matrix[i, j] = flow
cost_matrix[i, j] = cost
# Calculate weighted flow
weighted_flow = flow_matrix * cost_matrix
return {
"departments": depts,
"flow_matrix": pd.DataFrame(flow_matrix, index=depts, columns=depts),
...
Details
- Author
- a5c-ai
- Repository
- a5c-ai/babysitter
- Created
- 4 months ago
- Last Updated
- today
- Language
- JavaScript
- License
- MIT
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