Expect at least two recessions, or downturns in GDP growth, in the next few years. That is the prediction of Brian Beaulieu, CEO and chief economist for ITR Economics.
More and more manufacturers are seeing productivity as a crucial factor to their business success. In the meantime, business models are changing from the large quantities and few variants to small quantities with frequently changed variants. This change requires high flexibility during production.
Road to maturity involves safeguarding supply chains, treating security with the same urgency as safety, for starters.
Manufacturing got smart when companies figured out how to make products in one market and sell them in another. Today, we call this supply chain logistics. But somewhere along the way, the innovation chain connecting supply (manufacturing) and logistics (the supporting infrastructure) started to diverge.
Perceptron is an evolving case study in the merits of concentration versus diversification.
The concepts Industry 4.0 in Europe, Made in China 2025 and smart manufacturing in the U.S. “all share a common goal—to create cyber-physical systems to innovate in manufacturing,” IDC's Bob Parker said at Dassault Systèmes’ recent Manufacturing in the Age of Experience event. “And it’s really dependent on a set of new technologies like IoT (the Internet of Things) and artificial intelligence (AI).”
The $150 million “factory of the future” that the Swiss innovator ABB announced a year ago is becoming reality in this enormous city’s Pudong New Area.
Manufacturers of all sizes see an uptick in productivity after adding a factory within a factory via an automated machining cell. The cells are small-scale, clearly defined production units, often for a family of similar parts or a product, and they typically include a robotic arm and one or more machine tools.
There is still a lot of talk about breaking down the “silos” within a manufacturing enterprise. Siemens, like other software providers, is trying to address the problem by offering toolsets that are easier to integrate and work together.
In the age of Industry 4.0 and the digital thread, computer-aided design (CAD) data exchange should be open and seamless because it happens daily in a multi-tiered supplier ecosystem and so much interoperability depends on it. But we are not there yet.
