Watch out. The model can misread shorthand or Hindi entries and may add up minutes wrongly. Verify totals with a pivot table and spot-check the grouping before you act on it.
Find patterns in a machine downtime log
Paste a month of downtime entries and get the recurring causes, grouped and ranked for your review.
Best for
- Maintenance and production engineers
- Plants where downtime reasons are free-text
- Monthly review meetings
What you need
- An AI assistant
- Your downtime log export (CSV) with date, machine, minutes and reason
- Your list of standard loss categories, if any
Starter prompt
Copy it, fill in the parts in square brackets, and paste it into the AI assistant your organisation allows.
Below is our downtime log for [plant/line] for [month]. Each row has date, machine, minutes lost and a free-text reason written by operators in English or Hindi. Group the reasons into clear categories such as tooling, material, electrical, changeover and operator. Use our categories if given: [categories]. For each category show total minutes, the machines most affected and three example entries. Then list the five most repeated specific causes. Show which rows you could not categorise. Log: [paste CSV]
How to use it
1.Export the log
2.Run the analysis
3.Check the totals
4.Take it to the review
- 1
Export the log
Export one month of downtime with the reason text intact. Remove operator names if they are included.
- 2
Run the analysis
Paste the log into the starter prompt. For large logs, run one line or machine at a time.
- 3
Check the totals
Recheck the minutes per category with a pivot table. Move any wrongly grouped entries and rerun if needed.
- 4
Take it to the review
Bring the top causes to your monthly maintenance review and assign owners.
What you end up with
A ranked list of recurring downtime causes ready for your monthly review.
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