When considering a new robotic automation system, one of the biggest concerns can be the weight of the initial costs. While such a large capital expense may be hard to swallow at first, it’s industry-proven that manufacturers see an average ROI of 24 months from robots.
As the momentum to go green continues to build across the globe, the number of environmental regulations for reducing hazardous substances keeps growing. At the same time, more and more customers are now setting their own environmental requirements, adding more complexity to the mix.
With the September issue, Smart Manufacturing introduces Collective Intelligence, a new initiative under which we gather experts in one room to go deep on one important topic. We focused this first roundtable on the intractable problem of the workforce skills gap.
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.
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.
Analytics solutions. The industrial Internet of Things. Robotics. Automation. Manufacturers looking for tech solutions that will help them control costs and gain a competitive edge have many great options. In fact, deciding what type of technology to invest in and why can seem overwhelming.
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.
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.
The human factor is sometimes just too cumbersome in manufacturing. Take the German chipmaker Infineon: By using an autonomous robot called Scout from MetraLabs for the last several years, the automotive supplier shrank to 10 from 300 the number of minutes it takes to collect the clean-room data needed to measure the presence of rare gases in the air.
The requirements for FDA 21 CFR Part 11 are in place for a good reason: When companies are making a part that goes inside your body, the engineering and manufacturing process must be meticulously documented, tested and controlled. People’s lives are at stake.