The Audit Trail has been a part of GainSeeker since the early versions of GainSeeker. This useful module hardly gets noticed. When I train on the System Administration module / Utility module I make sure to focus on this little hidden gem! The Audit Trail makes it easy to see who changed the Specification Limits of a Standard, or who edited or deleted data.
A new case study highlights how a national, multiplant foods company used real-time data to reduce overpack. The effort resulted in a multimillion dollar savings. One striking aspect of this story is the level of frustration our client felt with the way things worked before implementing GainSeeker. Because he was working with old, outdated information, he was stuck with a rear-view mirror perspective. This is something many of our clients have in common: having to make decisions with inadequate knowledge.
Tech Tip explores defect tracking options for GainSeeker Suite. Compare legacy versus new PC Collect technology to see improvements and benefits of new approach.
How does real-time manufacturing intelligence help? A new case study describes how PLZ Aeroscience implemented GainSeeker Suite, resulting in reduced material costs, higher production numbers, reduced inventory and raw material costs, increased revenue, and several other benefits.
While I'm naturally inclined to skepticism about the latest buzzword trend, "Systems of Insight" resonates with me. It matches what I see our customers doing with GainSeeker Suite, and the value they're striving to get from working with us. Clearly GainSeeker Suite, as a Manufacturing Intelligence Platform, is aligned with this vision of a System of Insight. Whether we're talking about turning field failures into supply chain leadership, or reducing product giveaway, or knowing where stuff is, or improving manufacturing performance, or any other application of real-time actionable intelligence, the ability to gain insight from data and make better, faster decisions is critical. GainSeeker delivers.
The OEE (Overall Equipment Effectiveness) metric has fallen in and out of favor in manufacturing circles over recent years. Beyond the poles of hype and critique, is it possible to navigate a third, thoughtful path that uses the OEE metric to drive business transformation?
A new report by the Automotive Industry Action Group (AIAG) has flagged analytics to identify root causes as one of the critical recommendations in their Quality2020 Survey. The new report is available free from the AIAG website. It looks at data from across the automotive supply chain.
In many assembly and fabrication businesses, one of the biggest challenges I’ve encountered is folks simply Not Knowing Where Stuff Is (NKWSI). They lack timely actionable intelligence about their business operations. This is especially problematic when the product is complex, takes multiple shifts to complete, and involves a lot of people.
"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."
A recent report by Gartner notes that although quality receives strong endorsement and support from executive sponsors: “Only 22% of the respondents in a 2015 Gartner study on quality in the supply chain claim quality as an integrated function of their supply chains, and even fewer report is as a discipline. It's no wonder that over half of the high-profile quality failures of the past decade, ranging from flawed product launches, customer and patient safety incidents, and product recalls, are rooted in the extended value chain.” So how do you go about integrating quality across your supply chain?
