Main navigation

Sciemetric

In-Process Test

How to stay competitive in a connected revolution

  • Article in Machine Design
April 18, 2018

In this feature published by Machine Design Magazine, Derek Kuhn, Sciemetric’s senior vice-president, argues why machine builders can’t ignore the growing use of process data by manufacturers to drive quality assurance, greater automation, efficiency and profitability. Manufacturers want this intelligence incorporated into a line as it is being built, rather than incur the time and expense of procuring equipment, hardware, and software from different vendors and trying to integrate it all together.

Gaining The Manufacturing 4.0 Advantage With Data-Driven In-Process Testing

  • Article in Truck & Off-Highway Engineering
January 15, 2018

Manufacturing is changing thanks to the increasingly sophisticated and intelligent use of data to make a production line smarter and more efficient. For off-highway and specialty vehicle manufacturers, the 4.0 revolution offers great opportunity to achieve significant cost reductions and grow revenue. In this article, Sciemetric's Product Manager, Dave Mannila, discusses the benefits of data-driven in-process testing.

Waveform versus scalar data

  • Article on Automation.com
March 20, 2017

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.

Quality: Starting with Effective Data Management

  • Article in Industrial Machinery Digest
November 1, 2016

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.

The Birth of In-Process Testing

  • Article in Quality Digest
October 4, 2016

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.

The Basics of Torque Testing

  • Article in Quality Magazine
September 1, 2011

Former Sciemetric product marketing manager Bruce Takasaki shares with Quality Magazine where and how torque testing is most effective as a quality assurance process on a production line and what types of test are best depending on the part or assembly in question.

Sciemetric Celebrates 30 Years in Business

  • Article in Quality Magazine
February 14, 2011

2011 marks the 30th anniversary of the founding of Sciemetric Instruments whose technology has been used by some of the world’s largest manufacturers to improve quality and their manufacturing processes. The company’s process monitoring and quality management systems and software help manufacturers monitor the variables that impact critical manufacturing processes. This, in turn, enables them to improve product quality and maximize profitability.

Monitoring with Process Signature Analysis

  • Article in MDDI
October 26, 2010

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.