February 26, 2021
Bottling Knowledge and Sharing It blog series: Part 1 – Real-time Data Collection
InfinityQS has been working with the bottling industry, in one form or another, for decades. For the past 10 years, with our software in hundreds of plants worldwide, we’ve been helping the industry’s biggest beverage companies transform their quality performance across the enterprise.
Now we’re helping those same bottling companies with our newest statistical process control (SPC
) product, our quality intelligence platform, Enact®
. In short, Enact is what I would call “SPC quality intelligence in the cloud.” But Enact is also about more than SPC. It’s about visibility across your enterprise, gaining operational insights into your processes, and using that actionable information to truly transform your bottling operations.
This powerful tool delivers benefit across your entire enterprise. In this, the first article in our bottling blog series, we’ll focus on real-time data collection. Enact was built for the fully automatic collection of real-time data from anywhere on your plant floor and laboratories. And Enact does so in a visually intuitive way. That means your operators and quality experts don’t need to be advanced statisticians to do their jobs. They can focus on what they do best—making the highest quality products possible—and stop worrying about watching control charts and doing calculations.
Enact Has it All
Enact has everything you need to collect real-time quality data. As mentioned, it is visually intuitive, making it easy to use; your data is easily standardized across production lines and plants; we can integrate any device you already own and already use into your data collection strategy; calculations are done for you and your operators in the background so you can focus on your operations and not on control charts; and the interface is multi-lingual, so no matter where your employees are or what language they speak, they all speak the same quality language: Enact.
A Clear Vision of Data
The first thing you notice when you’re using Enact is that it is uncluttered, free of the jumble of charts and graphs one might traditionally consider manufacturing quality.
It seems to me that a wall of control charts only makes the operator’s job more difficult. (See colleague Eric Weisbrod’s blog
for details on the necessity, or lack thereof, for control charts in the lives of today’s manufacturing operators.) So, what do I mean “more difficult?” I mean simply that the operator would need to spend a lot of time—time they arguably do not have to spare—interpreting control charts, when they should be improving the quality of your products. Let’s face it, looking at and interpreting control charts can be challenging and is prone to error. Instead, letting software accurately identify events is a better use of operator time.
Enact delivers the information—the actionable intelligence—on which the operator needs to focus without the need to peruse and analyze countless charts and graphs. Enact provides a clear vision of the data on this work dashboard.
The Enact Dashboard
In the image above, you can see that the screen is broken into three distinct parts. The left-most portion of the screen is recent notifications (we’ll discuss notifications in detail in part two of our series, so please come back!). Note that the two red portions indicate, respectively, an out-of-specification limit violation and a missed data collection requirement. The green portions indicate to the operator that they have data collections due pretty soon…a “heads-up” if you will.
The middle portion of this image depicts the data collection section. Specifically, this section is indicating to the operator that they need to perform Net Volume and Torque checks. The numbers located beneath the accompanying images are countdown timers, and the bottom portion of this center section is where the most recent historical data can be accessed.
The right side of the image is reserved for the user’s production line status—in this case, “Filling Line 01.”
It’s astounding the amount of tailored information
that Enact can display for an operator, in a single click, with zero configuration. That’s right. This dashboard comes right out of the box with Enact, requiring no setup or configuration. But let’s look a bit closer at how this operator’s information is different from what another might see, even though they both see the same dashboard.
Information Tailored for Specific Roles
When you talk about getting your team up to speed fast, there’s no better aspect of Enact than the common “work” dashboard. It cuts training in half. Every user sees the same dashboard, but each user sees only what they need to see—based on their role and responsibilities.
When a user logs into Enact, their profile determines what they see. During configuration, administrators simply tell Enact each user’s responsibilities—be they production line 3, or fill line 2, or the quality assurance lab…no matter what their responsibilities, when they login Enact knows what they need to see.
In the example below, we can see that Maria Silva is a filling operator on line 1. There may be four fill lines (or 40!) in this plant, but she’s only seeing the data that pertains to her specific role and responsibilities for filling line number 1. Therefore, the data collections, notifications, and quality information are displayed only for her production line and reveal only the information for which she’s responsible.
Now, let’s take a quick look at a lab technician’s dashboard.
Right away you can see that Adam Murray’s dashboard, although it looks and feels exactly the same as Maria’s, contains different information—information that pertains only to activities specific to the quality lab.
Note that there is also much more data. Focus on Adam’s right tile. Because he works in the lab, he’s going to be doing data checks for all products made on multiple lines. As a result, Enact shows him all the filling lines. That way, Adam can see what product codes are running, and the status of each line. He knows not only line status, but the current shift, and more. Also, the data collection checks in the center section are representative of his checks performed in the laboratory. And, of course, the notifications (on the left) are tailored specifically for Adam, his role, and his responsibilities.
One of the most powerful aspects of Enact is that the software can communicate with any of your existing data collection devices. Therefore, you don’t have to rip and replace existing investments and measurement technologies. So, whether you've got scales, torque testers, brix meters, barcode scanners, whatever—it doesn't matter. We have the ability to integrate with them automatically so that you can do semi-automatic data collection that saves time and improves data accuracy.
But it's not just about semi-automatic data collection, it's also about fully automating data collection activities
. You see, Enact has the ability to automatically collect data from any electronic data streams you have. Whether it's an Anton Paar, a Maselli product, or one of the many vision systems, we can dip into those data streams, sample the data stream, or just grab all the data from those devices and push them to our centralized data repository in the Enact cloud—so that you always get the information you need when you need it
Data Collection Window
The image below is a typical Enact data collection window; this one happens to be for a torque test.
As you can see, the data collection window—just like the dashboard—is visually intuitive. The torque test image in the upper left is a clear indication of the data we’ll be collecting. To the right of the torque test photo, you see the specifications for the torque for the particular product that is running. In the gray rectangle, you see that's the actual data value coming from the torque tester. And in the banner above the torque test value, you see that you can put in work instructions, links to intranet information, and more.
Beneath the data value, in the center of the window, is what we call the “filmstrip.” This filmstrip is meant to visually identify what data collections are going to occur first, second, third, and so forth. So, you can see in the filmstrip that we've already done one torque test. We’re on the second (highlighted) torque test. And we have one more torque test coming up.
Data collection in Enact—as you can see—is visual, easy to understand, and engaging.
But notice that all this data collection information is in English. Well, when someone else signs in who prefers Spanish, they get everything in their preferred language. That is, the language changes not just in the Enact user's interface, but also for the master data within the system.
Everything changes to the preferred language of the person who signs in. So, clearly, Enact is meant for not just multi-plant, but multi-cultural
, deployments across plants around the world.
Enact makes real-time data collection visual, easy-to-understand, device-friendly, and multi-cultural.
You can see how Enact is much more than just SPC. It’s SPC quality intelligence in the cloud. The incredible visibility from across your enterprise we offer helps you gain operational insights into your processes, and by using that actionable information
you can improve your manufacturing processes and truly transform your bottling operations.
Read the other articles in our bottling blog series:
Take advantage of the technology at your fingertips today: contact one of our account managers (1.800.772.7978 or via our website
) for more information.
Sign up now to begin three free months of Enact software.