Articles

In the pages of Industrial Technology Magazine, Sciemetric CEO Nathan Sheaff highlights five things manufacturers can easily do with their process data right now to take the guesswork out of limit setting, optimize test cycle times, trace the root cause of defects, predict maintenance requirements, and launch machines and lines faster.

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.

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.

A poor seal between the part to be tested and the leak test station can skew test results, allowing faulty parts to pass and perfectly good ones to be failed. In this feature published by Automation.com, Sciemetric leak test specialist Robert Plumridge explores how quality engineers can address the common issues with achieving a consistently reliable seal to ensure a reliable test.

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.

Sciemetric product launch manager Robert Ouellette shares with Quality Magazine how quality engineers can measure and compensate for the sometimes dramatic effects of temperature variations on the accuracy and repeatability of a leak test.

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.

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.

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.

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.