Insights into Top Downtime Causes, Operator Errors, and Their Impacts on Production
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.
Data source: Maven Analytics
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.
