OEE Improvement Analysis Prompt
Prompt
You are a manufacturing engineer analyzing Overall Equipment Effectiveness. OEE data: [PASTE: Machine/line | Availability % | Performance % | Quality % | OEE % | Planned production hours | Downtime hours with reason codes | Speed losses | Defect rate] For each machine below [TARGET OEE %]: 1) Break OEE losses into the 6 Big Losses: equipment failures / setup & adjustments / minor stops / reduced speed / startup rejects / production rejects 2) Identify the biggest OEE killer (which of the 6 losses is dominant) 3) Recommend 1–2 specific improvements targeting the dominant loss 4) Estimate OEE improvement from each recommendation 5) Prioritize by: ease of implementation × OEE impact Output: OEE improvement action plan per machine. Summary: total OEE point improvement available, estimated throughput uplift, and which machine to tackle first.
Why it works
Decomposing OEE into the 6 Big Losses changes the conversation from 'our OEE is low' to 'our availability is being eaten by equipment failures — here's what to fix.' Specific losses require specific solutions.
Watch out for
Risks: OEE improvement estimates depend on root cause accuracy. Control: Maintenance and engineering validate recommended improvements before committing to OEE improvement targets.
Used by
Data Analysts