Data Management & Analytics
Engineers can do more with force and torque data than simply make “good” or “not good” decisions about assemblies. Sciemetric's CTO, Richard Brine, is featured in this article in Assembly Magazine discussing the applications of fastening and press for Industry 4.0.
In this article for i4.0 Today magazine, Sciemetric's President and CTO team up to discuss how the network edge helps factories and industrial operations optimize their cloud resources.
What does adding intelligence at the edge mean for manufacturing and industrial domains? Sciemetric's Product Manager, David Mannila, provides 7 tips and considerations for your line.
In this Q&A, Sciemetric's President discusses the changing landscape of data, IoT (IIoT) and connectivity. Learn more about the challenges faced by companies in the industrial sphere, new opportunities on the horizon and how to make more effective use of your industrial data.
This article, by Cincinnati Test Systems’ Vice-President of Global Sales, 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, discusses 5 ways product data can be applied across production to improve overall plant efficiency.
Turning a regulatory headache into a competitive advantage: Understanding 21 CFR Part 11 and EU Annex 11 compliance
This article by Cincinnati Test Systems' David Kralovetz, market specialist for medical devices, discusses how to balance the implementation of Industry 4.0 monitoring and data analytics while abiding by the regulatory requirements laid out by the FDA's Title 21 CFR Part 11 and European Medicines Agency Annex 11. Read the article to learn more.
Why should you as a machine builder/integrator care about incorporating data collection and analysis capability into your production process? Sciemetric's Senior VP 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.