How Factory Intelligence is Evolving
Intelligent factories have existed since manufacturing’s historical inception, but intelligence—defined as the acquisition and application of manufacturing knowledge—resided only with the factory’s staff.
Intelligent factories have existed since manufacturing’s historical inception, but intelligence—defined as the acquisition and application of manufacturing knowledge—resided only with the factory’s staff.
I’ve had quite a month, again, covering clever software and gadgets that continue to inch their way into performing tasks once reserved for humans. These tasks range from mundane material handling to highly skilled engineering design. It has made me think quite a bit about how our world of manufacturing and engineering will be affected by all this artificial cleverness.
Contract manufacturers, aka job shops, are the heart and soul of US manufacturing. Their survival and success are imperative.
Digitization of industry has become an established global trend. Despite all the enthusiasm of visionaries, the machine tool is, was and will remain the core element in production.
Manufacturers are always looking for signs of what the economy and the business outlook have in store for them. Since the election of President Trump and, more recently, passage of the tax reform law in December, confidence among businesses of all sizes has been overwhelmingly positive.
In the 1955 short story “Autofac,” Philip K. Dick envisioned a world dominated by self-replicating robots that work incessantly, eventually depleting the planet’s resources.
With a shortage of young workers willing and able to do today’s factory jobs, manufacturers are taking steps to retain the older workforce already punching in.
An executive makes the case for why manufacturers may want to change how they procure health plans.
The demand for titanium components by the aerospace industry began as a whisper about 15 years ago and steadily grew to a sustained, raucous shout over the last five and likely won’t quiet for several more.
My instincts tell me we need a sense of urgency around the use of artificial intelligence (AI) in manufacturing. The urgency is driven by how quickly technology can move today, and how an unexpected breakthrough can quickly dominate.