As industries advance, metrology—the science of measurement—becomes essential for innovation. With a growing need for precision and efficiency, the field is evolving to enhance quality control. This summary highlights key trends shaping metrology today.
Quality 4.0 transforms manufacturing by integrating digital technologies with quality management, enhancing visibility and traceability throughout the production process. By leveraging data from interconnected machines, it helps manufacturers proactively manage risks and reduce waste, leading to a safer and more efficient future.
Quality 4.0 combines technologies like AI and IoT with quality management, enhancing real-time monitoring and decision-making. It supports continuous improvement in Lean Six Sigma, helping organizations achieve operational excellence and stay competitive.
Event-based vision technology addresses challenges in industrial machine vision, such as data overload and the need for real-time processing, by efficiently capturing changes in a scene with high speed and low power consumption.
Manufacturing is evolving through Industry 4.0, advanced robotics, and additive manufacturing, enhancing efficiency, customization, and rapid prototyping while posing challenges around employment and data security.
ISO 9001 is leading changes in quality. Sustainability has changed from a suggestion to a requirement, and upcoming revisions will align the standard with the latest in Industry 4.0, including AI and IoT technologies.
Prepare for a transformative shift in quality management as sustainability becomes essential. Major updates are set for 2026 with ISO 9001, integrating AI into quality systems, followed by a significant overhaul of ISO 14001 in 2028.
Effective AI deployment requires addressing challenges related to continuous learning, adaptation, and the robust management of vast, real-time data streams—areas where DMAIC falls short.
This article explores the evolution of manufacturing data, the limitations of DMAIC in the Fourth Industrial Revolution, and introduces Binary Classification of Quality (BCoQ) and Learning Quality Control (LQC) systems as part of Quality 4.0.
Integration of digital twin technology in medical device manufacturing provides the potential to improve device performance, optimize production processes and reduce quality defects.
This article will explore digital twin technology, its effects on medical device manufacturing, and the associated benefits and challenges. The global market for digital twins was valued at over $8.6 billion in 2022 and is projected to reach $138 billion by 2030.
As smart factories have grown to embrace more advanced technologies such as AI, machine learning, and smart sensors, they’ve also evolved to include more developed forms of metrology.
These advancements made our factories smarter by enabling systems to communicate with each other, share live data, and make decisions without human intervention.
The value of Industry or Technology 4.0 comes when it supports organizational goals, aligns with the strategic plan, and enables employees to improve how work gets done.
Industry 4.0, or Technology 4.0, signifies the shift towards automation, data exchange, and advanced technologies like AI and IoT in manufacturing and beyond. Its value lies in aligning with organizational goals and strategic plans and enhancing employee efficiency, offering a comprehensive approach to modernizing operations across the board.