Manufacturing Downtime Breakdown
Insights into Top Downtime Causes, Operator Errors, and Their Impacts on Production
About the Story
Understanding what drives production downtime is key to improving efficiency. This data story explores the top factors affecting manufacturing times, from machine adjustments to operator errors. It highlights when and where disruptions peaked, which products were most impacted, and how responsibilities were shared among operators. By visualizing these patterns, the story offers insights into optimizing workflows and reducing delays.
Transcript:
1. 12 Factors Impact Manufacturing Times
2. Operator vs. Non-Operator Causes
3. Machine Tweaks: Top Downtime Cause
4. Operator Errors Drive Downtime
5. 4 Operators at Work
6. Charlie Leads in Operator Errors
7. Overall Dennis Faced the Fewest Errors
8. Cola Production Took the Biggest Hit
9. 600 ml Cola Affected Most
10. 9/2: Downtime Peak
11. Most Errors on 9/2
12. Most Operator Errors on 9/2
13. What’s Behind Operator Errors on 9/2?
14. 4+ Hours Spent on Machine Adjustments
15. Who Did All the Adjusting?
16. All Operators Shared the Responsibility
Data source: Maven Analytics
Why Vizzu?
Understanding downtime requires more than just static numbers. Vizzu helps reveal the relative impact of different causes through smooth, dynamic transitions, making it easier to compare and prioritize problem areas. Instead of a flat chart, this visual approach turns data into a clear and actionable story.
