Data Management & Analytics
Want to improve your manufacturing processes? Rethink your machine vision data management strategy
Machine vision images and data are a valuable part of the Manufacturing 4.0 equation. The problem is that machine vision images and data are often trapped in silos across the plant floor, with images stored in formats that make them difficult to access and analyze. With the right data management strategy, you can make this data accessible to your team so it can drive value.
8 ways we can help you improve your leak test
Learn about the successes we’ve helped our customers achieve—and how we can help you achieve the same success on your production lines!
Is machine vision data part of your IIoT strategy? It should be.
Machine vision images and related data can be used for much more than basic pass/fail determination during the process cycle. We get into how this data can be collected, correlated and analyzed will all other production data as part of a comprehensive IIoT strategy.
5 top trends in smart manufacturing
So, your plant collects data—but how are you using that data to take quick, decisive action on the plant floor and inform timely decision-making in the corner office? We dive into five ways smart manufacturers are using their data to raise the bar on quality and competitiveness.
How to trace root cause after a warranty claim or product recall
When a product comes back with a warranty claim, the next step is to determine root cause. Robert Ouellette discusses how digital process signature analysis is the key to trace root cause, address the problem fast, contain the scope of a recall and ensure it never happens again.
Top 5 Sciemetric blog posts of 2017
We recap our five blog posts that captured the most attention in 2017, from getting your leak test right and containing warranty costs with data to how the repair bay can contribute to a more effective defect data management strategy.
Key considerations for a data collection strategy in the connected factory
Aaron Alberts explores how, when it comes to collecting process data to raise the bar on quality and productivity, you can never have too much. The key is to break down the data silos across the plant floor and get all that data into one centralized database for analysis.
What our survey of Smart Manufacturing Magazine’s readers told us
We teamed with Smart Manufacturing Magazine on a survey to better understand how readers use data collected from the production line versus how they would like to use it, to drive productivity, quality and profitability in their plants. Here is what the results tell us.
Using data to contain the damage of a recall
The “R” word, recall, makes manufacturers cringe. Richard Brine digs into how the scope and impact of a recall can be dramatically reduced if all relevant production data has been collected and organized by serial number to create a complete birth history record for each part.
Getting your leak test right starts with data
This e-book explores the art and science of achieving a more reliable, accurate and faster leak test. We cover seven practical steps, ranging from getting station setup right, to how to effectively use data and digital process signature analysis.