SadaIQSee yield, downtime and variability in one view
Production data from several lines and sites is read through the same definitions, so a comparison is a fair one.
Plants compared on equal terms
Yield, throughput, downtime and quality measures keep a consistent grain and time logic across sites. Variability views help teams see whether a shift in results is normal fluctuation or something worth acting on.
- Plants measure yield and downtime with slightly different rules, so comparing two sites proves nothing.
- Line and quality sources are connected, and yield, throughput and downtime are defined with a common grain and time logic.
- Comparable views of yield, downtime and variability across lines and sites, each traceable to its source data.
- Talk to the team about modelling production metrics.
A chart for this industry
A synthetic example of a question common in this industry.
Distribution of order values
How are order values distributed, and how many sit far from the usual?
The histogram groups order values into equal-width bins; most values cluster in the first bins and a long tail stretches toward high values, and the table gives the quantiles, the fences and the outliers. Show table
Distribution of order values thousand synthetic currency units Sample size 17-95 93 95-173 23 173-251 1 251-329 0 329-406 0 406-484 1 484-562 1 562-640 1