According to a recent LNS Research survey, 37% of quality leaders cite an inability to measure quality metrics as their number one barrier to achieving quality goals. Even worse, the survey showed a full 4 in 5 companies have poor visibility into real-time metrics.
These figures highlight a central problem in quality management: in an era of increasingly large data sets, how can manufacturers leverage this data for meaningful improvement?
It’s a question that’s especially relevant for manufacturers engaged in layered process audits (LPAs), a high-frequency verification strategy where teams conduct short audits every shift. With hundreds or even thousands of audits taking place over the course of a year, making sense of a large volume of data is a core challenge of LPA programs.
While plant managers often track metrics at a granular level, director and VP-level leaders need to look at the data a little differently at a higher level. Let’s look at four of the most important enterprise-level layered process audit metrics to track.
