May 10, 2013
Uncovering the Importance of Quality Metrics for Manufacturing Quality Control - Part Two
On Wednesday, May 15 at 2pm EDT, InfinityQS—a leading provider of manufacturing quality control software and solutions—will host a webinar titled “Quality Metrics—What You Need to Know.” The webinar is an educational session that will detail the importance of quality metrics and how to manage this valuable data.
Quality metrics involve the statistical analysis of products and services for the purposes of controlling quality. Companies use these statistics to ensure that the goods they produce meet up to their own standards.
”Quality Metrics: What You Need to Know”, will cover two very important topics:
1.Driving quality metrics from the bottom up as opposed to the top down
2.Centralizing all your quality metrics in a quality hub
Just as importantly, attendees will learn to examine the attributes that make up a quality metric, or measurements that inform whether a given process will produce products and services that meet quality standards.
“We get caught up trying to read case studies and books to find out what a company measured, and we come up with precise types of metrics that could be useful but that won’t be the end all,” Steve Wise, vice president of Statistical Methods for InfinityQS, says. “At some point, you have to do the work and find those critical metrics that are strictly unique to operations in your own company.”
According to Wise, there are a few key characteristics that make up a quality metric:
- A quality metric should ideally be a variable’s metric, meaning it has a number assigned to it
- The metric should be bidirectional, so that it can seamlessly flow up and down that metric hierarchy and be meaningful both upstream and downstream
- It lives twice; the quality metric serves a purpose at that moment but is also stored in a quality hub so that it can be used for more long-term quality improvement activities and for comparative analysis
- The quality metric should have a scale associated with it (such as a ranking from 1 to 10) so that the scale has meaning
Perhaps most importantly, a quality metric is one that has the greatest effect on downstream success. It all goes back to cause and effect diagrams, according to Wise. Successful manufacturing quality control hinges on finding out the best way to report metrics down and up the hierarchy.
“The best metrics to get are those that the upstream department can cause or can affect,” Wise adds.
To register for the upcoming webinar, click here.
Edited by Gerald Baldino