"We were able to reduce the variation in the amount of product put into bottles across a 16-head machine. By bringing all the heads in alignment, we reduced average overpack by two grams. Two grams of our product means absolutely nothing to the consumer. But because of the volumes we run through here, we saved an enormous amount of money, and it all fell directly to the bottom line."
GainSeeker Get External feature lets you copy and paste data from any text file or table into GainSeeker Suite for a quick and easy way to turn a table of numbers into something far more useful.
Further, in the quality management arena, people are talking about Big Data—especially with more focus on finding correlations in real-time performance data. Many of today’s quality analytics solutions are designed to support the use of Big Data analytics, so manufacturers can cultivate and analyze massive amounts real-time data generated by SPC and other quality process data sources.
There is no shortage of data in modern manufacturing companies. The problem is that much of this data is stuck in special purpose silos.
We have a new video introducing GainSeeker Suite. Get a very high level overview in just a few minutes.
Food safety is all about compliance - true - but with simple SPC charts it can be about a lot more.
"Data brushing" is a simple technique that helps you make sense of data by giving you more power to dive into a SPC Control Chart or Histogram. It is another tool in your toolbox for turning data into knowledge.
A reader posts a question about getting started with Short Run SPC, and several experienced colleagues provide guidance.
A reader asks for advice about getting started with SPC in a short run environment.
I think I've been in just about every kind of manufacturing setting you can imagine, from potato chips to silicon chips, from plastic bags to golf balls..... I've seen people capture, analyze, and visualize data for product quality, dimensions, scrap, environmental waste, OEE, on time delivery, and many other applications. So what happens when you turn your attention to a broader economic indicator?
