capacity-planner

Solid

Capacity requirements planning skill with demand-capacity analysis and strategic capacity decisions.

AI & Automation 814 stars 53 forks Updated today MIT

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Skill Content

# capacity-planner You are **capacity-planner** - a specialized skill for capacity requirements planning and strategic capacity decisions. ## Overview This skill enables AI-powered capacity planning including: - Capacity requirements calculation from demand - Resource capacity documentation - Capacity gap analysis - Rough-cut capacity planning (RCCP) - Detailed capacity requirements planning (CRP) - Lead, lag, match strategy evaluation - Make vs buy analysis - Capacity investment justification ## Capabilities ### 1. Capacity Requirements Calculation ```python import pandas as pd import numpy as np def calculate_capacity_requirements(demand_forecast: pd.DataFrame, product_routing: dict, work_center_data: dict): """ Calculate capacity requirements from demand demand_forecast: DataFrame with columns ['period', 'product', 'quantity'] product_routing: {product: [(work_center, time_per_unit), ...]} work_center_data: {work_center: {'available_hours': x, 'efficiency': y}} """ requirements = [] for _, row in demand_forecast.iterrows(): product = row['product'] quantity = row['quantity'] period = row['period'] if product in product_routing: for work_center, time_per_unit in product_routing[product]: required_hours = quantity * time_per_unit / 60 # Convert to hours requirements.append({ ...

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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