Changeover Optimizer

SkillDev tools

Setup and changeover time reduction skill with SMED methodology and sequence optimization

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Changeover Optimizer skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/business/operations/skills/changeover-optimizer/SKILL.md and read by ahel’s review.

Overview

The Changeover Optimizer skill provides comprehensive capabilities for reducing setup and changeover times. It supports SMED (Single-Minute Exchange of Die) methodology, sequence optimization, and changeover time tracking.

Capabilities

  • Internal/external setup separation
  • Changeover video analysis
  • Parallel task identification
  • Standardization opportunities
  • Quick-release mechanisms
  • Sequence optimization
  • Changeover matrix
  • Time reduction tracking

Used By Processes

  • LEAN-004: Kanban System Design
  • CAP-002: Production Scheduling Optimization
  • LEAN-003: Kaizen Event Facilitation

Tools and Libraries

  • Video analysis tools
  • SMED templates
  • Time study software
  • Scheduling optimization

Usage

skill: changeover-optimizer
inputs:
  equipment: "Injection Molding Press 5"
  current_changeover_time: 120  # minutes
  target_changeover_time: 30
  changeover_data:
    video_analysis: "changeover_video_url"
    task_breakdown:
      - task: "Remove old mold"
        time: 15
        type: "internal"
      - task: "Get new mold from storage"
        time: 20
        type: "internal"
      - task: "Install new mold"
        time: 25
        type: "internal"
      - task: "Connect utilities"
        time: 15
        type: "internal"
      - task: "Adjust parameters"
        time: 25
        type: "internal"
      - task: "Run test shots"
        time: 20
        type: "internal"
outputs:
  - current_state_analysis
  - internal_external_separation
  - improvement_opportunities
  - optimized_procedure
  - changeover_matrix
  - implementation_plan

SMED Methodology

Stage 1: Separate Internal and External Setup

TypeDefinitionGoal
InternalMust stop machineMinimize
ExternalMachine runningMaximize

Stage 2: Convert Internal to External

  • Pre-stage tools and materials
  • Pre-heat/pre-cool components
  • Prepare documentation
  • Pre-adjust settings

Stage 3: Streamline All Operations

  • Parallel tasks (multiple operators)
  • Eliminate adjustments
  • Standardize procedures
  • Use quick-release mechanisms

Changeover Analysis

Current State:
- Total time: 120 minutes
- Internal: 100 minutes
- External: 20 minutes

Improvement Opportunities:
1. Move mold retrieval to external: -20 min
2. Pre-heat mold: -10 min
3. Use quick-clamps: -15 min
4. Parallel connection work: -10 min
5. Eliminate test shots: -15 min

Target State:
- Total time: 30 minutes
- Internal: 25 minutes
- External: 35 minutes

Changeover Matrix

From / ToProduct AProduct BProduct C
Product A-30 min45 min
Product B35 min-25 min
Product C40 min30 min-

Quick Changeover Techniques

TechniqueApplication
Quick-release clampsReplace bolts
Intermediate jigsPre-positioned tooling
Color codingVisual identification
One-turn fastenersReduce turns required
Standardized heightsEliminate adjustments
Preset gaugesEliminate measurement

Implementation Steps

  1. Document current state (video)
  2. Separate internal/external
  3. Convert internal to external
  4. Streamline internal setup
  5. Streamline external setup
  6. Standardize and train
  7. Track and improve

Integration Points

  • Production scheduling systems
  • Video analysis tools
  • Training platforms
  • OEE tracking systems

Signals

GitHub stars
2k
Forks
112
Last commit
Sep 2026
Advanced
Item type
skill
Key
changeover-optimizer
Source
github.com/a5c-ai/babysitter