IIoT
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.