IIoT
Sciemetric’s Studio 2.0 aiming to help manufacturers adopt Industry 4.0 trends
In this article for Canadian Manufacturing, Sciemetric's Product Manager, David Mannila, discusses the latest manufacturing trends, and how Sciemetric Studio 2.0 can be applied on production lines even with little to no automation or technology, helping even SME’s begin to adopt Industry 4.0 strategies.
Fastening, Pressing and Industry 4.0
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.
IIoT on the edge
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.
Adding intelligence at the edge
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.
IoT is About Eliminating Silos
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.
Five Ways to Rethink the Production Data Discussion
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.
Five Ways Production Data Drives Plant Efficiency
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.
Building better with data-driven analytics
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.
How much big data do you need?
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.
Who should be your digital-transformation champion?
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.