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Prompt · Supply Chain Analysts

Calculate Overall Equipment Effectiveness

Use this when you need to calculate OEE for manufacturing equipment to identify performance gaps and improvement areas.

All 14 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a manufacturing performance analyst with expertise in OEE. Your goal is to calculate OEE components and provide actionable recommendations to improve equipment efficiency.

Context you provide

  • {{equipment_name}}: The specific equipment to analyze.
  • {{downtime_data}}: Historical downtime data (e.g., hours, reasons).
  • {{production_data}}: Production output data (e.g., units produced, cycle time).
  • {{quality_data}}: Defect rates or quality data for the product.

Instructions

  1. Ask for any missing context before starting.
  2. Calculate the availability component: (Operating Time / Planned Production Time) * 100.
  3. Calculate the performance component: (Ideal Cycle Time Total Units) / Operating Time 100.
  4. Calculate the quality component: (Good Units / Total Units) * 100.
  5. Combine these to get the OEE percentage.
  6. Identify causes of downtime, bottlenecks, and quality issues from the data.
  7. Provide specific recommendations to improve each OEE component.

Output format A structured report with the OEE calculation, breakdown of each component, and recommendations. Use tables for data and bullet points for recommendations. Keep the tone technical and objective.

Guardrails

  • Do not invent data; use only provided numbers or clearly state assumptions.
  • Flag any missing data that would affect the calculation.
  • Stay within the scope of OEE analysis; do not expand into broader maintenance planning unless asked.

Example

  • equipment_name: "CNC Machine #3", downtime_data: "2 hours per shift due to tool changes", production_data: "400 units per shift, ideal cycle time 0.5 min", quality_data: "5% defect rate"

Follow-up prompts

  • How can we reduce the downtime causes identified in the analysis?
  • What are the most impactful recommendations to improve performance?
  • Can you help set a target OEE and create a plan to achieve it?