This article, by Cincinnati Test Systems’ Vice-President of Global Sales, Tim Williams, discusses how to reframe the discussion on using production data to add more value and how to get buy in from the rest of your team so you can plan and implement a successful IIoT deployment.
This article, by Cincinnati Test Systems’ Vice-President of Global Sales, Tim Williams, discusses 5 ways product data can be applied across production to improve overall plant efficiency.
Why should you as a machine builder/integrator care about incorporating data collection and analysis capability into your production process? Sciemetric's Senior VP, Derek Kuhn and Account Manager, Aaron Alberts explore this topic in this article for Machine Design.
The idea of big data and Industry 4.0 can overwhelm manufacturers—but it doesn't have to. The first step towards Industry 4.0 doesn't have to be a giant leap. At it's core, it's just about using your data in a productive way. Jeff McBee, Regional Sales Manager at Cincinnati Test Systems, offers 7 questions to self-diagnose your need for data-driven analytics in the latest issue of Manufacturing AUTOMATION.
We often talk about “silos” in manufacturing, referring to process and test data trapped on the production line that could otherwise be used to drive improvements in quality and yield. But as we all grapple with this thing called Industry 4.0, the silos that often cause the most problems are the ones that exist between people, not machines. Read this article by Jeff McBee, Regional Sales Manager at Cincinnati Test Systems, to help identify who best to appoint as champion of digital transformation initiatives in your plant and which questions you should be asking yourselves as you devise your approach to Industry 4.0.
A key principle of any digital journey for a manufacturer, whether or not they are in the automotive supply chain, comes down to making effective use of production data. Learn how to ready your production line for Industry 4.0 with data-driven insights in this article, contributed by Sciemetric's Manufacturing IT Manager, Patrick Chabot.
Sciemetric's Manufacturing IT Manager, Patrick Chabot shares insights on how manufacturers can make better use of their machine vision data in this article by IMV (Imaging and Machine Vision) Europe.
Even on a modern manufacturing line equipped to collect and analyze process data, something can always slip through the cracks to derail quality and efficiency. This is only to be expected. But what if a key assembly process still rests entirely with a human being manually completing a task? There is no obvious data trail, no process monitoring in real-time. What then? In this article, Sciemetric's Manufacturing IT Manager, Patrick Chabot discusses the importance of having a strategy for continuous improvement on the line.
Sciemetric's QualityWorX Vision software won the Gold 2018 Innovators Award from Vision Systems Design. Read more about the award-winning solution and the awards in this article.
Industry 4.0 technologies are not merely nice to have. Business pressures are forcing these kinds of investments for many manufacturers. ROI can be rapid when you consider the cumulative cost of downtime, warranty claims, and scrap and rework that can be avoided with the right technology investment. Learn how Sciemetric helps manufacturers embrace Industry 4.0 in this article by Sciemetric's Aaron Alberts for the Smart Industry Forum.