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 reduce cycle time in leak testing?

Posted: 
January 11, 2018
Contributed by: 
Nathan Sheaff - President at Sciemetric

Out of all the testing stations on a production line, leak testing is the station most prone to causing bottlenecks. Thus, reducing cycle time in leak test is essential to more efficient, productive operations.

Below are a few techniques to implement on your production line to reduce the cycle time in leak testing.

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.

The Repair Bay, Part 1: What is defect data management and why should I use it?

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

Most people in the manufacturing industry are acquainted with the idea of an inline repair process. Parts with problems get pulled from the assembly line, are diagnosed and repaired by technicians and then put back into the assembly process. This work is typically done in repair bays.

Why is my leak rate repeatability so poor?

Posted: 
December 21, 2016
Contributed by: 
Ron Pawulski – Executive Account Director at Sciemetric

In a follow-up to our “How to conduct a leak test trial you can stake your job on” post, the topic today is one of the most overlooked causes of poor repeatability in leak test results.

Achieving leak rate repeatability is a common challenge with leak testing. Changes in test results can cause a customer to mistrust their leak test and even lead an operator to throw out test results altogether.