Sciemetric’s new partnership with Cincinnati Test Systems (CTS) marks the introduction of the...

Is machine vision data part of your IIoT strategy? It should be.

Posted: 
March 22, 2018
Contributed by: 
Scigenuity Staff

On many production lines, the use of machine vision images is for basic pass/fail determination during the process cycle. Related data collection doesn’t often extend past camera performance. Pass/fail results, after serving their immediate purpose, are often discarded. If they are kept, they are commonly left on local PCs and servers, in silos across the plant that lack digital connectivity.

5 Top Trends in Smart Manufacturing

Posted: 
March 02, 2018
Contributed by: 
Scigenuity Staff

So, your plant collects data—but how are you using that data? Is your data empowering individuals on the plant floor to take quick, decisive action? Is your data supporting timely and informed decision-making in the corner office?

With reams of manufacturing process data being generated every day from each part and assembly on the production line, smart manufacturers are becoming wise to the power their data holds. Through meaningful data collection and analysis, smart manufacturers are experiencing profound gains in overall yield, product quality and process optimization.

How to trace root cause after a warranty claim or product recall

Posted: 
February 07, 2018
Contributed by: 
Robert Ouellette – New Product Launch Manager, Sciemetric

When a product comes back with a warranty claim, the next step is to determine the root cause of that problem. Many manufacturers rely on SPC data to try to pinpoint where the problem occurred, but this type of data can’t always reliably identify root cause.

Tracing root cause relies on the data

To determine which element of the manufacturing process has led to a warranty claim, the answer lies in digital process signatures, or waveforms.

Top 5 Sciemetric Blog Posts of 2017

Posted: 
December 15, 2017
Contributed by: 
Scigenuity Staff

With 2017 coming to an end, we are taking a look back at our most popular posts from the Sciemetric blog throughout this past year. The below posts are sure to offer tips and tangible insight to help make 2018 your best production year yet.

What our survey of Smart Manufacturing Magazine’s readers told us

Posted: 
October 02, 2017
Contributed by: 
Scigenuity Staff

The right tool, for the right job.

It’s a concept that no doubt dates to the Stone Age, and yet, engineers and managers across the manufacturing industry continue to struggle with it when it comes to harnessing the power of their data.

The reasons are not difficult to fathom. For some, it’s a perception that it will require a costly rip and replace of a legacy system. Others are skeptical that the latest technology will work as advertised. Many spend so much time stomping daily brushfires they’re not even aware a better option exists.

Using data to contain the damage of a recall

Posted: 
August 15, 2017
Contributed by: 
Richard Brine - CTO and David Mannila - Product Manager

It’s the “R” word that makes manufacturers cringe – recall. The cost is only part of the expense – there is the impact on brand reputation and, consequently, future sales, too.

A quality issue in the field will trigger an internal investigation to determine its scope and severity. Forensic experiments may have to be conducted to reproduce the manufacturing issue, which consumes resources, product and production time.

Getting your leak test right starts with data: Check out our e-book

Posted: 
June 27, 2017
Contributed by: 
Scigenuity Staff

Leak testing is often an art as much as it is a science. Manufacturing quality engineers and machine operators must contend with many external factors that can undermine accuracy and repeatability.

The Repair Bay, Part 3: A day in the life

Posted: 
May 26, 2017
Contributed by: 
Patrick Chabot - Senior Software Specialist, QualityWorX

In the first post of this series, we highlighted the benefits of turning the repair bay into a defect data management station that drives continuous improvement. In the second post, we emphasized that it takes more than tools and processes – buy-in, from the corner office to the plant floor, is crucial.

Now let’s take a look at the different ways in which individuals from the plant floor to the office engage with and benefit from a repair bay data analytics system.

The Repair Bay, Part 2: Why enhanced defect data management should be seen as a positive on the plant floor

Posted: 
May 12, 2017
Contributed by: 
Patrick Chabot - Senior Software Specialist, QualityWorX

In our previous post, we talked about the benefits of adopting the data collection, management and analytics tools that allow a production line to turn its repair bay into a defect data management station that drives continuous improvement.

Integrators Part 2: Adapt to a changing market and avoid the ‘Nedry Effect’

Posted: 
February 15, 2017
Contributed by: 
Joe Ventimiglio - Director of Sales; Powertrain; Automotive Industrial

In the first of this two-parter, we discussed how incorporating process signature analysis into every phase of an integrator’s build can help reduce risk and keep the project on time and on budget. In this post, we talk about how bundling this same quality assurance technology into a build can also bring more business to an integrator’s door.