Technology innovations for products and services are advancing rapidly. But manufacturers increasingly find their product development systems are unable to support what it takes to bring these innovations to market.
When you hear the phrase, "Industrial Internet of Things," what do you think of first? When we asked subscribers to ASSEMBLY and Quality magazines that question earlier this year, the answers were all over the map.
Productivity growth in manufacturing is stuck. Despite improvements in equipment, software and management approaches, annual labor productivity growth in the U.S. was around 0.7 percent between 2007 and 2018.
MILWAUKEE, WI — Rockwell Automation, an industrial automation and digital automation provider, announced two acquisitions, one domestic and one international, that will be finalized in the coming months.
Factories of the future will feature advanced technology, such as additive manufacturing, artificial intelligence, augmented reality, data analytics and digital twins. While many manufacturers are still ramping up their Industry 4.0 initiatives, several assembly plants are already at the forefront. They are embracing the Fourth Industrial Revolution and reaping the benefits.
Just as lean manufacturing is about more than eliminating waste, Industry 4.0 is not merely a matter of connecting machines and products via the Internet.
By now, we've all heard the hype: The Industrial Internet of Things (IIoT) will fundamentally change manufacturing and offer a cornucopia of benefits, including increased efficiency, higher quality and more responsive supply chains.
Data analytics, augmented reality, generative design, artificial intelligence, cobots, additive manufacturing and other technologies are already helping manufacturers increase efficiency, reduce downtime, lower prices, differentiate themselves in the marketplace, and improve service, delivery and quality.
Building a car generates massive amounts of data throughout the value chain. The BMW Group uses its Smart Data Analytics digitalization cluster to analyze this data selectively and enhance its production system. Results from intelligent data analysis make an effective contribution towards improving quality in all areas of production and logistics.
FAIRFIELD, CT—Henry Ford was fond of saying that “nothing was particularly hard if you divided it into small jobs.” He followed his own advice, built the world’s first large-scale assembly lines that cranked out millions of Model Ts every year, and left his competitors in the dust. GE engineers are now taking Ford’s advice to the extreme and breaking down the factory into even smaller pieces: bits and bytes.