Items Tagged with 'Industry 4.0'

Michelle Bangert, managing editor of Quality, sat down with Sainyam Arora, our 2026 Quality Rookie of the Year, at the MAX event in Nashville.

The landscape of quality management systems (QMS) in manufacturing is undergoing a profound transformation, driven by the imperatives of Industry 4.0, rising product complexity, and the need for greater operational resilience.

David Ryeson, Kaushik Shubhank, and Dr. Jan Nöcker of the Boston Consulting Group have written for Quality about AI and Quality 4.0.

Balancing technology significantly enhances the safety and efficiency of aerospace systems and machines. Properly balanced components reduce vibration, extend equipment life, and improve efficiency, evolving from manual processes to digital systems with real-time monitoring.

This article discusses the relationship between manufacturing, quality, and metrology in modern industry. Manufacturing creates value, quality ensures it meets requirements, and metrology provides evidence of compliance. It highlights the challenges organizations face in the 21st century.

Industry 4.0 enhances manufacturing efficiency and quality through digital technologies and real-time data collection. 3D scanning provides precise, non-contact measurements, improving quality control for complex shapes.

AeroFlexx, a pioneer in sustainable liquid packaging, partnered with Factory Systems to enhance data visibility on its high-speed converter line. Renowned for disrupting traditional rigid packaging with a flexible yet rigid bottle design, AeroFlexx relies on a highly engineered converter system to shape and seal its innovative packages. As they refined this process, a key issue emerged.

AI is transforming manufacturing, with nearly 60% of top use cases leveraging it to reduce defects and boost productivity, though questions about the extent of these improvements remain.

This article discusses automation in quality assurance, with a focus on physical properties testing and metrology, and highlights automated crush strength testing for catalyst pellets in the energy sector.

We define machine learning and explain how it works within machine vision, with a focus on where machine learning can be effectively applied to enhance inspection reliability and capability.