Babysitter oee-calculator

Overall Equipment Effectiveness calculation and analysis skill with availability, performance, and quality tracking

install

source · Clone the upstream repo

git clone https://github.com/a5c-ai/babysitter

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/domains/business/operations/skills/oee-calculator" ~/.claude/skills/a5c-ai-babysitter-oee-calculator && rm -rf "$T"

manifest: library/specializations/domains/business/operations/skills/oee-calculator/SKILL.md

OEE Calculator

Overview

The OEE Calculator skill provides comprehensive capabilities for calculating and analyzing Overall Equipment Effectiveness. It supports availability, performance, and quality tracking, six big loss categorization, and world-class benchmarking.

Capabilities

Availability calculation
Performance rate tracking
Quality rate measurement
OEE trending and dashboards
Six big loss categorization
Pareto of losses
Improvement target setting
World-class benchmarking

Used By Processes

LEAN-001: Value Stream Mapping
SIX-002: Statistical Process Control Implementation
CI-003: Benchmarking Program

Tools and Libraries

MES integration
OEE software
Real-time dashboards
Data collection systems

Usage

skill: oee-calculator
inputs:
  equipment: "CNC Machine 5"
  period: "2026-01-15"
  shift_data:
    planned_production_time: 480  # minutes
    downtime:
      - type: "breakdown"
        minutes: 30
      - type: "changeover"
        minutes: 20
    ideal_cycle_time: 0.5  # minutes per unit
    total_count: 800  # units
    good_count: 780  # units
outputs:
  - oee_score
  - availability
  - performance
  - quality
  - loss_breakdown
  - improvement_opportunities
  - trend_analysis

OEE Calculation

Formula

OEE = Availability x Performance x Quality

Where:
Availability = Run Time / Planned Production Time
Performance = (Total Count x Ideal Cycle Time) / Run Time
Quality = Good Count / Total Count

Example Calculation

Planned Production Time: 480 minutes
Downtime: 50 minutes
Run Time: 430 minutes
Ideal Cycle Time: 0.5 minutes
Total Count: 800 units
Good Count: 780 units

Availability = 430 / 480 = 89.6%
Performance = (800 x 0.5) / 430 = 93.0%
Quality = 780 / 800 = 97.5%

OEE = 89.6% x 93.0% x 97.5% = 81.3%

Six Big Losses

Loss Category	OEE Factor	Examples
Breakdowns	Availability	Equipment failures
Setup/Adjustments	Availability	Changeovers, warm-up
Small Stops	Performance	Jams, minor issues
Reduced Speed	Performance	Running below ideal rate
Startup Rejects	Quality	Scrap during start-up
Production Rejects	Quality	In-process defects

OEE Benchmarks

OEE Level	Classification	Typical Range
World Class	Best in class	85%+
Good	Above average	70-85%
Average	Typical	60-70%
Low	Needs improvement	40-60%
Poor	Significant issues	<40%

World-Class Targets

Factor	World Class	Typical
Availability	>90%	85%
Performance	>95%	90%
Quality	>99.9%	98%
OEE	>85%	60%

Loss Analysis Process

Collect accurate loss data
Categorize by six big losses
Create Pareto chart
Focus on top losses
Apply appropriate methodology
Track improvement

Integration Points

Manufacturing Execution Systems
PLC/SCADA systems
Quality Management Systems
Maintenance management (CMMS)