If you’re struggling to make sense of manufacturing big data, you’re not alone. According to research published last year by The Economist, only 42% of manufacturers have what they consider to be a well-defined data-management strategy. Even more striking, 86% report problems in managing the data they are now generating.
According to David Line, Managing Editor, Economist Intelligence Unit, “Manufacturing has been at the forefront of data collection and its importance to quality and cost control is well recognised. But collecting too much data, or failing to analyse what you collect, can be counterproductive.”Read More
Lean manufacturing is evolving towards increased incorporation of information technology into the Lean enterprise. How are you evolving your systems to support this move?Read More
GainSeeker’s data brushing feature lets you select the data points you want, then perform actions with those points on the spot. You can draw charts with that data, exclude it, and more. It gives you instantly actionable data.Read More
Did you know that manufacturers with visibility to real-time metrics in manufacturing have a higher average OEE (Overall Equipment Effectiveness) than those who don’t?
According to the LNS Research Report: “Big Data – Driving Quality Intelligence at the Speed of Manufacturing”, the difference is significant: 5 percentage points higher. You can request your copy of this reporthere.Read More
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.Read More
I’m amazed by the number of organizations that still lack both the infrastructure and the ingrained, organizational core competency of turning knowledge into action. Why aren’t all organizations Excellence Addicts? Why are so many companies still stuck on the left side of the matrix?
So the important question is how do we create a culture that has high measurement maturity? This may be one of the most important questions facing manufacturing today because according to Hofman’s report, “Companies with higher levels of measurement maturity have better overall performance.”Read More
Recently we deployed a pilot project for collecting quality check data for a new customer. The pilot is on one line only, but because it involves multiple people, training, custom configurations, and so forth, the detailed deployment plan required a number of steps. The customer’s Project Manager for the deployment embodies great project management. He put together a superb plan, and drove it all from a simple spreadsheet. Our project manager, Craig Glick Miller, liked his spreadsheet so much that he made a generic version of it and, with our customer’s permission, we offer it here for your review and use.Read More
Take the one-minute survey to tell us which GainSeeker features you use most. We’ll use the information to identify and enhance your favorite GainSeeker features.Read More
In only seconds, GainSeeker Suite’s powerful integration with Microsoft PowerPoint lets you create a PowerPoint presentation featuring your GainSeeker charts, dashboards, and desktops. Check out this 14-second video that shows you how in only 3 steps.
If you’re using GainSeeker version 8.2 or later, you already have this feature, so why not give it a try? (Just think how handy this will be the next time you’re asked to give a presentation on data.)Read More
He needed a Data Wrangler, or Data Janitor, to help him build the bridge between all the data he was collecting in his MES system and the insights he hoped to gain from that data. “I had one of my engineers build some macros in Excel that go into our MES system and extract the data to an Excel workbook. Once it is there, he has to spend hours scrubbing the data before he can do any useful analysis.”
He went on to say, “It might be ok for an occasional study, but we need to be looking at this data throughout the day, every day. This manual process is just not sustainable.”
My customer was pointing out the obvious: wrangling data is not a value added activity. Not only that, it isn’t sustainable for daily operations.Read More