What can go wrong will
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.
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.
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.
The Industrial Revolution 4.0 - Data, Connectivity and Automation
Sciemetric CEO Nathan Sheaff shares his thoughts with the editors of OEM Off-Highway Magazine on how better tools for measurement, data analysis and data visualization are crucial for manufacturers to be more competitive and profitable in an Industry 4.0 world.
The Birth of In-Process Testing
An automaker’s search for something better than hot test redefined quality on the assembly line with the introduction of Sciemetric's Process Signature Verification (PSV) technology for in-process test monitoring and analysis. In the years that have followed, Sciemetric technology and our customers' adoption of it have evolved with the emergence of Industry 4.0 and the smart factory.
Collecting data: Why machine vision matters as part of your IIoT strategy
Whether you’re a machine shop, a job shop, or a contract manufacturer in the supply chain of a major OEM, your success today rests with how machine vision data comes together with all the rest of your production data. In this article, Sciemetric's Manufacturing IT Manager, Patrick Chabot discusses how to be more competitive and break machine vision out of its silo.
Date with data
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.
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.
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.
Better Tools for Data Analysis Measurement/Visualization are Improving Yield and Reducing Warranty Claims
Sciemetric CEO Nathan Sheaff talks to the editors of OEM Off-Highway Magazine about how “Industry 4.0” is really about breaking down data silos and making effective use of production data to increase yield, improve quality and optimize processes.