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This article by Cincinnati Test Systems' David Kralovetz, market specialist for medical devices, discusses how to balance the implementation of Industry 4.0 monitoring and data analytics while abiding by the regulatory requirements laid out by the FDA's Title 21 CFR Part 11 and European Medicines Agency Annex 11. Read the article to learn more.

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.

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.

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.

Mathew Daniel, Sciemetric’s VP of Operations, is featured in Manufacturing Technology Insights Magazine where he discusses how manufacturers must go deeper than conventional manufacturing execution systems (MES) to achieve the quality and efficiency benchmarks demanded by Industry 4.0. This is about taking data collection and analysis to a new level with what Frost and Sullivan calls Manufacturing Performance and Quality Management (MP&QM).

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.

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.

Derek Kuhn, Sciemetric’s senior vice-president, takes to the pages of APMA Lead, Reach, Connect to explain why auto manufacturers must look beyond data related to the performance of machines and business processes if they wish to succeed in a sector that is rapidly being redefined by Industry 4.0 and Manufacturing 4.0 principles. They must also collect, serialize and analyze the reams of production data generated by the process and test stations on the line.

Sciemetric’s QualityWorX Vision solution allows you to consolidate your vision data in a single database, organized to mimic your production line. This makes it easy to retrieve and analyze images and image data to make improvements based on your vision inspection.

• Data Management & Analytics
• Process Monitoring / In-Process Test
• Manufacturing Management
• IIoT / Smart Manufacturing
• Machine Vision
• Data Management & Analytics
• Process Monitoring / In-Process Test
• IIoT / Smart Manufacturing
• Machine Vision
• Data Management & Analytics

Industry 4.0 technologies are not merely nice to have. Business pressures are forcing these kinds of investments for many manufacturers. ROI can be rapid when you consider the cumulative cost of downtime, warranty claims, and scrap and rework that can be avoided with the right technology investment. Learn how Sciemetric helps manufacturers embrace Industry 4.0 in this article by Sciemetric's Aaron Alberts for the Smart Industry Forum.