Data Management & Analytics
What production data is necessary to drive your Industry 4.0 agenda?
What production data is necessary to drive your Industry 4.0 agenda? “Industry 4.0”, “big data” and “data analytics” are not futuristic “hope to achieve some day” concepts. In this feature with Automation.com. Mathew Daniel, Sciemetric’s VP of Operations, discusses how they are redefining the competitive landscape of global manufacturing today, and the kind of digital architecture manufacturers must adopt to collect, manage and analyze their data to achieve the actionable insight they need.
Waveform versus scalar data
Sciemetric product launch manager Robert Ouellette shares with Manufacturing Automation Magazine how digital process signature analysis takes take quality control on the production line to a new level. While SPC and scalar data continue to serve a useful role to monitor and track the health of a production line, it is signature analysis that offers the most effective means to quickly find and address root cause when problems arise.
Spotting bubbles with process data
Vision systems can’t see air trapped within gasketing material, so an automotive powertrain supplier turned to Sciemetric to find a new way to spot bubbles before they compromised seals. Sciemetric account manager Aaron Alberts shares with Today’s Motor Vehicles how and why Sciemetric worked with fluid handling products and systems company Graco to create the Graco Dispense Analyzer.
A new look at leak testing
Sciemetric CEO Nathan Sheaff talks to the editors of Smart Industry about how digital transformation and big data analysis have converged to create a new generation of intelligent leak test systems that provide manufacturers with the reliability and the repeatability to achieve a higher standard of production quality.
Quality: Starting with Effective Data Management
Richard Brine, Sciemetric’s CTO, discusses with Industrial Machinery Digest how manufacturers must evolve beyond scalar data collection and analysis alone to rise to the big data challenge posed by Industry 4.0. He outlines the need for centralized collection and analysis of the digital process signatures, or waveforms, generated by every cycle of the process and test stations on the line.
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.
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.
Data Leads to Good Leak Test Decisions
Through the adoption of new leak testing approaches that provide comprehensive data about the entire leak test cycle, manufacturers can get more out of their leak test. Use of process signature technology that provides comprehensive data about the leak test offers manufacturers significant benefits that impact the bottom line. Investment in modern leak test technology delivers a quick ROI, supports compliance initiatives, improves productivity and ultimately, improves product quality.
Monitoring with Process Signature Analysis
Process signature verification helps medical device manufacturers eliminate destructive testing, bring more accuracy to the manufacturing process, and reduce costs. Rather than subjective post manufacturing quality control approaches, such as visual testing, or statistically based tests, like destructive testing practices or auditing, comprehensive process signature verification provides actionable insight into manufacturing processes as well as a wealth of data that can prove compliance with internal directives and FDA regulations.