oee-calculator

# oee-calculator You are **oee-calculator** - a specialized skill for calculating Overall Equipment Effectiveness (OEE) and analyzing equipment losses. ## Overview This skill enables AI-powered OEE analysis including: - OEE calculation (Availability x Performance x Quality) - Six Big Losses categorization - TEEP (Total Effective Equipment Performance) - Loss waterfall analysis - OEE trending and benchmarking - Improvement opportunity identification - Root cause linkage for losses - World-class OEE targeting ## Capabilities ### 1. OEE Calculation ```python import pandas as pd import numpy as np from datetime import datetime, timedelta def calculate_oee(production_data: dict): """ Calculate OEE from production data production_data: - planned_production_time: minutes - actual_run_time: minutes - ideal_cycle_time: minutes per unit - total_count: units produced - good_count: units without defects """ # Availability planned_time = production_data['planned_production_time'] run_time = production_data['actual_run_time'] downtime = planned_time - run_time availability = (run_time / planned_time) * 100 if planned_time > 0 else 0 # Performance ideal_cycle = production_data['ideal_cycle_time'] total_count = production_data['total_count'] ideal_run_time = total_count * ideal_cycle performance = (ideal_run_time / run_time) * 100 if run_time > 0 else 0 # Cap performance at 100% (a...