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.
The Industrial Internet of Things (IIoT) and Industry 4.0 are transforming the world of manufacturing. The two terms are relatively interchangeable and basically mean the same thing: Manufacturers using internet-enabled technologies to improve their business strategies and outcomes.
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.
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.