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On the plant floor, operators spend more and more of their time collecting data. In most manufacturing organizations, data comes from a variety of sources, so operators must ensure the information is collected on time, that it’s accurate—and in some cases, calculate or convert information before putting it into a quality system.

But when operators are overburdened with data collection tasks—and spend more of their time watching banks of control charts than operating the equipment on their lines—the opportunities for error increase exponentially. 

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For example, consider the challenges of a bottling operation: Thousands of bottles whizzing by, often on multiple lines running at the same time. How can any operator keep up with the task of ensuring every fill head is hitting the target for net contents every time? 

The answer, of course, is that they can’t—not with traditional quality systems and methods. Manufacturers across industries are looking for ways to digitize and streamline their processes—to lighten the burden on operators while simultaneously enabling the collection of accurate, useable data in real time.

Let’s take a look at how the cloud-native InfinityQS Enact quality management system enables this digitization—and makes data collection visual and intuitive so that operators can focus on what they do best—making the highest quality products.


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 necessary for manufacturing quality management.

Enact work dashboard.Click on image to enlarge.

A wall of control charts only makes the operator’s job more difficult. They end up spending time watching the control charts for possible errors when they should be improving the quality of your products. Interpreting control charts can be challenging and is prone to error. Instead, software can accurately identify events and show operators the errors or issues that need their attention.

Enact provides a clear vision of this data on the operator’s work dashboard.


The Enact Dashboard

In the image above, you can see that the screen is broken into three distinct parts. On the left are recent notifications. 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 section shows data collection tasks. Specifically, this section is indicating to the operator that they need to perform Net Volume and Torque checks. The numbers under each image are countdown timers; and the bottom portion of this center section shows the most recent historical data.

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. 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. During configuration, administrators simply tell Enact each user’s responsibilities—whether they’re on production line 3, or fill line 2, or the quality assurance lab.

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.

Marias dashboard.Click on image to enlarge.

Now, let’s take a quick look at a lab technician’s dashboard.

Adams dashboard.Click on image to enlarge.

Right away you can see that Adam Murray’s dashboard looks and feels exactly the same as Maria’s but contains information that pertains only to Adam’s activities in 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 sees 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.


Device Friendly

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. They can be integrated so that you can do semi-automatic data collection that saves time and improves data accuracy.

Device friendly.Click on image to enlarge.

In addition, you can 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, Enact 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.

Data collection 1.Click on image to enlarge.

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.


Multi-Lingual Capability

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.

Multi-lingual.Click on image to enlarge.

Everything changes to the preferred language of the person who signs in. The solution is meant for multi-plant, multi-cultural, global deployments.


Simplify—and Transform—Data Collection

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. With this direct, digital visibility across your enterprise, 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.

Are you ready to take the first step to digitize your manufacturing operations? Start with the foundation—your quality data. Please visit InfinityQS to learn more about our Enact Quality Intelligence Platform.